Langchain jobs

...have real production experience creating LangChain chains and agents, and be equally at ease working with both OpenAI and Hugging Face models. Day-to-day you’ll design and optimise micro-services that call LLMs, manage embeddings in Pinecone or FAISS, and orchestrate data flows through PostgreSQL, MongoDB and Redis—everything neatly containerised in Docker for local and cloud runs. Expect plenty of room to prototype new AI features, run quick experiments, and then harden the successful ones for scale. The role is 100 % onsite in our Sector-62 Noida office; close collaboration with product and design teams is essential, so remote or hybrid isn’t an option right now. Key deliverables: • Clean, well-tested FastAPI endpoints for new AI features • L...

Hiring: Tech Lead (MERN Stack) LocatIon: Bangalore, India Work Mode: On-Site Experience: 8+ Years We a...AI/automation integrations (LLMs, NLP, chatbots, analytics) • Manage CI/CD, performance optimization, and system scalability Required Skills • Strong hands-on experience with MongoDB, , React.js, Node.js • Experience building SaaS products and scalable architectures • Strong understanding of REST APIs, microservices, and asynchronous architecture • Exposure to AI/ML integrations (OpenAI, LangChain, Hugging Face, etc.) • Experience with cloud platforms (AWS/GCP/Azure) and DevOps practices Interested candidates can share their profiles along with: • Total years of experience • Experience with MERN stack (years) • Current CTC • ...

...solve everyday problems for companies (e.g., data processing, reporting, content creation) Alongside the agents, I need an end-to-end automation strategy that covers: • Ebook creation pipelines • Children’s educational content workflows • Business-solutions application deployment and scaling Money Making Apps What I expect from you • A clear technical roadmap with tool choices (OpenAI, LangChain, Pinecone, AWS/GCP/Azure, local LLMs—whatever you recommend) • Development and testing of each agent until it runs autonomously from a simple web or API interface • Delivery of source code, documentation, and quick-start videos that let me rebrand and launch instantly • Privacy and reserved-rights agreement signed before any ...

...lightning-fast information retrieval when staff query the bot; analytics, reports, and other add-ons can wait until phase two. Here’s what I need you to do: • Build a clean ingestion pipeline that takes our Excel files, splits them sensibly (sheet, row or custom logic), converts the text to embeddings, and writes everything to a Pinecone index. • Wire up a basic retrieval function (Python / LangChain or similar) that the chatbot can call, returning the most relevant context snippets in milliseconds. • Provide concise documentation and a short demo notebook or script so my team can extend or swap in other file types later (PDF, Word, etc.). Acceptance criteria • All supplied spreadsheets are searchable through Pinecone with <1 s average que...

...by pulling accurate answers from our own company data. Visitors should be able to type natural-language questions about policies, services, and account issues and receive concise, helpful responses 24/7 without human intervention. Here is the scope I have in mind: • Core engine: a large-language-model setup (GPT-4, Claude, or a comparable open-source model) orchestrated through Python with LangChain or a similar framework. • Knowledge base: ingest PDFs, HTML pages, and structured documents from our internal drive; store embeddings in a vector database (Pinecone, Weaviate, or similar) so the bot retrieves only up-to-date company data. • Web deployment: a lightweight JavaScript or React widget that plugs straight into our existing site and streams answers back ...

...monitoring and alerts Personal AI agent builder for everyday automation tasks Requirements: Experience with LLMs, agent frameworks, and AI integrations Familiarity with API integrations, model orchestration, and automation workflows Experience working with Hugging Face, open-source models, or AI toolchains Ability to design scalable and modular AI systems Nice to Have: Experience with LangChain, LlamaIndex, AutoGen, or similar frameworks Background in multi-agent systems Experience deploying local models and hybrid AI stacks If you're passionate about building practical AI agents that solve real-world problems, we’d love to collaborate....

...backend system for AI workloads Create end-to-end AI pipelines optimized for performance and scalability Integrate third-party APIs and AI services where required Collaborate closely with product and engineering teams to turn ideas into working solutions Required Skills & Experience Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.) Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.) Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models) Knowledge of speech systems (TTS, STT, STS) Experience in LLM fine-tuning, quantization, and model optimization Ability to deploy self-hosted / offline AI models Strong backend development skills (Python, Node.js, FastAPI, Django, etc.) Experience desig...

...everything from lead generation and document processing to automated client case management. The system must handle multi-domain consultancy services including Insurance, Study Abroad, NRI Property Management, and GST/Tax Filing. Technical Stack Requirements Core AI: OpenAI API (GPT-4o), Claude 3.5, or Gemini Pro. Automation/Orchestration: (formerly Integromat), Zapier, or Python-based LangChain/LangGraph. Frontend/Dashboard: React.js or (Client & Admin Dashboards). Backend: Node.js or Python (FastAPI/Flask). Database: PostgreSQL or MongoDB with Vector Storage (Pinecone/Weaviate) for RAG. Lead Gen/Scraping: Apollo API, LinkedIn Automation, or custom headless scrapers. Communication: WhatsApp Business API (via Twilio/Cloud API), Botpress/ManyChat, and SendGrid. Docu...

Project Title: Elite AI Architect Needed: LangChain & OpenAI Expert for Autonomous Business Intelligence Build Project Description: About Vimassa Tech: We are scaling an autonomous business intelligence system and are seeking an "Elite" AI Developer who specializes in architecting complex, scalable systems. We value engineering excellence over generic "wrappers." The Mission: You will take end-to-end ownership of building and deploying a core AI infrastructure. This isn't just a simple integration; it requires deep technical knowledge of agentic workflows and advanced RAG architectures. Technical Standards Required: Expertise in LangChain, OpenAI API, and Python. Advanced experience with Vector Databases (Pinecone, Weaviate, etc.). Proven ability ...

...and maintainable code following best practices • Collaborate on architecture decisions for AI-enabled systems Required Skills • ASP.NET Core • C# • Web API / REST API • SQL Server or PostgreSQL • Frontend frameworks (React / Angular / Vue) • Experience integrating AI APIs (OpenAI / Azure AI / similar) Preferred Skills • Vector Databases (Pinecone / Qdrant / Weaviate) • AI frameworks such as LangChain or Semantic Kernel • Docker and containerization • Cloud deployment (Azure / AWS) • Experience building SaaS platforms Project Scope The developer will help build several intelligent systems including: • AI assistant tools • document analysis platforms • AI dashboards for analytics • automation wor...

We are looking for an experienced Generative AI / LLM Engineer to enhance our existing multi-agent RAG pipeline built with agentic orchestration and GPT-5 models. The main goal is to improve multi-document embedding, retrieval accuracy, and agent workflow coordinatio...architecture Implement multi-document embedding and indexing Improve semantic search and context retrieval Optimize prompts and workflows for GPT-5 Integrate and tune vector databases Requirements: Strong experience with RAG systems Experience with LLMs and agent-based workflows Proficiency in Python Experience with vector databases (Pinecone, FAISS, Chroma, etc.) Nice to Have: Experience with LangChain / LlamaIndex Experience building multi-document AI systems Please share examples of RAG or LLM projects you have ...

...pages, adapts or re-edits the visuals to match my branding guidelines, then publishes the finished piece to my website while triggering the appropriate lead-capture sequence. All three stages—keyword research and analysis, scraping plus in-house editing, and final posting with lead automation—must run without manual intervention. A multi-agent architecture is ideal, so feel free to leverage LangChain, CrewAI, AutoGPT, or any comparable framework that lets independent agents pass tasks between one another. Think of one agent focused on Google Keyword Planner or similar APIs, another handling SERP scraping with Python, Selenium, Scrapy or BeautifulSoup, a third using OpenAI or Stable Diffusion for media re-editing, and a final agent pushing the content live through my ...

...systems, then keep scaling them until they can handle real-world, mission-critical workloads. Here’s what the role looks like day to day: • Architect and code large-scale agentic functions, swarms and orchestration layers that can reason, plan and act with minimal human guidance. • Integrate and benchmark state-of-the-art language models (OpenAI, Anthropic, Llama 2/3, etc.) alongside tools like LangChain, CrewAI, Semantic Kernel or your own preferred framework. • Optimise memory, context and tool-calling pipelines; deploy to cloud (AWS/GCP/Azure) with containerisation and CI/CD. • Rapidly iterate—our team works long, focused hours on bleeding-edge ideas, so you’ll ship, measure, and refine in tight loops. • Transition from cont...

...appropriate, an AI-drafted response that my team can approve or send automatically. A light dashboard to monitor performance and hand-off edge cases would be ideal. Marketing automation: I want to trigger personalised campaigns based on user behaviour, score leads, and generate concise performance summaries so I can adjust strategy in real time. I’m flexible on the underlying stack—Python, Node, LangChain, Zapier, or comparable frameworks—as long as the solution is modular, maintainable, and easy for a non-developer to tweak later. If you have existing components that can accelerate delivery, even better. Deliverables (discrete): • Working codebase for each automation chain • Clear README / setup guide • Short loom or screen-share w...

I need an end-to-end AI agent that can sit inside my WhatsApp Business account and handle the full sales cycle for bulk Polyethylene (PE). Th...status, sentiment, and an export to CSV/CRM • Deployment guide plus source code so my team can extend it later Acceptance criteria • 90 %+ correct intent detection across a withheld test set of our chats • At least one fully autonomous closed PE deal in a monitored pilot week • Conversation tone scores ≥ 4/5 in a post-deal buyer survey Tech you might turn to includes Python, Node.js, LangChain, OpenAI or open-source LLMs, vector databases, and the WhatsApp Cloud API—but I’m open to whatever stack you feel gives the most stable, low-latency performance. I’m ready to start as soon as you can ...

I am...Python Environment) and how to update the LLM keys. Technical Stack Preferred: Orchestration: LangChain, CrewAI, or Microsoft Semantic Kernel. LLM: GPT-4o or Claude 3.5 Sonnet. Database: Vector DB for RAG and SQL/NoSQL for session memory. Voice: Integration with Real-time Speech APIs. Application Instructions (Filtering Bot Responses): Applications that do not include the following will be ignored: The Technical Question: "How will you handle 'Hallucinations' when the agent evaluates a complex Azure Networking scenario that isn't explicitly in the RAG documentation?" Portfolio: Links to previous AI Agent or RAG projects you have built. Tech Choice: Which orchestration framework (LangChain vs. Semantic Kernel) do you recommend for this s...

...the WebSocket stream so that research synthesis appears live in the frontend panels. Biomedical Reflection: Refine the "Reflection Agent" (currently using a fine-tuned biomedical Llama model) to perform a secondary quality check on the literature review output. Technical Stack: Backend: Deno v2 (TypeScript), WebSockets. Frontend: React, Vite, Tailwind CSS, Framer Motion. AI Logic: LangGraph, LangChain. Models: Groq (Llama 3.3 70B Orchestrator) & Local Ollama (Biomedical fine-tuned SLM). What’s Already Done: ✅ Stable Multi-agent state graph and orchestration logic. ✅ Professional, responsive dashboard with glassmorphism effects. ✅ Backend/Frontend communication via WebSockets. I am looking for a developer who understands medical data sensitivity and has deep ex...

...that can understand natural-language requests, pull data from our EHR, draft documentation, route approvals, and trigger follow-on actions inside existing tools. You will have full freedom to choose the right blend of large language models, retrieval-augmented generation, and automation frameworks, provided the result is HIPAA-compliant, auditable, and easy for my in-house dev team to maintain. LangChain, FastAPI, vector stores such as Pinecone or FAISS, and orchestration services like Airflow or Prefect are all on the table if they help us reach production quickly. To gauge fit, please share concrete past work that shows you have already delivered a similar copilot, assistant, or workflow automation project—ideally within a regulated environment. Live links, repo snippet...

I’m wiring up n8n with Claude to create a hybrid “agentic” coworker that can both run on its own and pause for guidance when needed. The core of the job is a clean JSON workflow for n8n plus the Python glue code that lets Claude decide when to launch or chain my existing automation scripts. Scope • Buil...Acceptance criteria • JSON imports into a fresh n8n instance without errors. • “Autonomous” branch executes the sample script end-to-end; output is visible in n8n. • “User input” branch gracefully waits for manual confirmation before proceeding. • Claude’s responses are parsed and used correctly for both branches. Mention any library choices you feel are best (e.g., FastAPI, requests, LangChain) an...

...Remind reps of overdue tasks like contract that hasn’t been sign. If you can also let it compile quick performance or pipeline reports from the data that’s already in Perfex, that would be a plus. Perfex is built on CodeIgniter/PHP, so the solution has to slot in cleanly as a module or controller I can enable from the admin panel without touching core files. I’m fine with you using OpenAI, LangChain or similar libraries as long as keys and model settings are stored securely and can be edited from the settings page. Acceptance criteria 1. One-click installable module with clear setup docs. 2. Admin can toggle each automation (emails, contracts, leads) on or off and edit prompt/templates. 3. Actions triggered by cron or webhooks are logged in the Perfex a...

... Implement the chatbot interface based on our visual mockup Ensure the chatbot answers only based on the website content (And other, if it's not present on the website, but it should at no point direct users to competitors or other websites) Optimize the system for performance and low operating costs Preferred Technical Stack (Flexible) Python backend (e.g., FastAPI) RAG frameworks (e.g., LangChain or similar) Vector database (e.g., Chroma, Pinecone, Weaviate, or similar) LLM integration via API Experience with embeddings and semantic search Key Requirements Proven experience building AI or LLM-based applications Experience implementing RAG architectures Experience with vector databases and embeddings Ability to design scalable APIs and backend systems Experience integra...

...A friendly, on-screen, interactive virtual character that interacts with users in real time. It must utilize Speech-to-Text (STT) to understand spoken queries and Text-to-Speech (TTS) alongside realistic facial and hand gestures to deliver spoken answers. Technical Requirements & Expected Skills AI/LLM Frameworks: Strong expertise in Large Language Models (OpenAI, Anthropic, or open-source), LangChain, LlamaIndex, and prompt engineering. Vision & OCR: Experience integrating OCR (Optical Character Recognition) APIs (e.g., Google Cloud Platform (GCP) or Microsoft Azure AI-powered OCR ) for automated document data extraction. Conversational Avatars: Familiarity with generating real-time interactive video avatars (e.g., HeyGen, Synthesia, or custom WebRTC-based avatar renderi...

...preview with highlighting of each inserted authority. 4. One-click export to Word and PDF, plus jurisdiction-specific e-filing guidance. Tech expectations I’m open, but a typical stack might blend a React or Vue front-end with Python (FastAPI or Django) on the back-end, using an LLM (OpenAI, Claude, or an in-house model) wired to a retrieval layer (e.g., Elasticsearch + case-law corpus) via LangChain-style RAG pipelines. Containerised deployment to AWS or GCP, CI/CD on GitHub Actions, and unit/functional test coverage are important. Deliverables • Fully functional web app deployed to a cloud account I control • Source code repository with README and setup scripts • Scraper or API integration that fetches only public-domain legal texts • Tem...

...HubSpot CRM, drafting personalised replies, and nudging the prospect on a preset cadence. When a hot lead asks for pricing, the quotation agent fills out our predefined templates, merges the correct pricing tiers, and emails the document automatically, logging every interaction back into the CRM. You will design, build, and integrate this stack using whichever mix of GPT-4 (or comparable LLMs), LangChain, Zapier/Make, HubSpot and ad-platform APIs you deem most efficient. I just want everything to run smoothly in the background while I focus on strategy. Deliverables • A fully deployed agent workflow covering content creation, ad management, lead follow-up, and quotation generation • Seamless integration with HubSpot CRM, our email service, and major ad platfor...

...Google Calendar and send the appropriate confirmations or reminders. • Conflicts must be detected and handled gracefully, ideally with a short conversational response generated by the model. • A simple dashboard or log that shows what the agent has scheduled, rescheduled, or declined will help me audit its decisions. Tech is flexible, but please outline the stack you’d use (e.g., Python, LangChain, GPT, Google Calendar API, Zapier/Make if relevant) and any hosted services or webhooks you consider essential. Acceptance criteria: – End-to-end demo where I request a meeting and see it land on my calendar. – Clear documentation for setup, API keys, and environment variables. – Codebase delivered via Git repo, cleanly commented, ready to ext...

...development and future tech hiring • Contribute to long-term technical vision This is not a short-term freelance assignment. We are looking for a committed partner to join as CTO in exchange for equity. Preferred Technical Profile • Strong experience in backend development (Node.js / Python / similar) • Experience building SaaS products from scratch • Familiarity with AI/LLM integration (OpenAI, LangChain, RAG, etc.) • Experience with scalable cloud architecture (AWS / GCP) • Understanding of workflow engines or rule-based systems (preferred) • Interest in legal-tech / gov-tech / deep process automation Startup experience or 0→1 product build experience is highly preferred. Commitment & Structure • Equity-based compen...

...data, reason over it with retrieval-augmented generation, trigger decisions or downstream calls, and surface full telemetry through an observability stack. Here is the landscape you’ll step into: • Python remains the core language, and I need somebody who has at least five years of hard-won backend experience shipping governed AI systems inside large organisations. • Preferred toolchain is LangChain (or equivalent orchestration), MCP for prompt management, FastAPI for the service layer, and a GCP deployment footprint. If you have comparable expertise on AWS that is fine, but our primary build will live on Google Cloud. • Security, compliance, and auditability are non-negotiable; think healthcare or finance levels of governance. • Bonus points if...

...- Speech interruption detection not triggering correctly - Silence timeout thresholds causing premature disconnections - Response retry logic failing after user interruptions 3. Content Validation: - Output filtering not enforcing template structure - Responses deviating from approved clinical script formats Required Skills: - Strong Python debugging capabilities - Hands-on experience with LangChain, LlamaIndex, or similar RAG frameworks - Experience with STT/TTS features using - Prompt engineering and LLM output structuring Preferred Experience: - HIPAA-compliant application development - Healthcare data systems or EHR integration What You'll Deliver: - Root cause analysis document for each bug - Fixed Python code with inline comments explaining changes - Test results ...

...- Speech interruption detection not triggering correctly - Silence timeout thresholds causing premature disconnections - Response retry logic failing after user interruptions 3. Content Validation: - Output filtering not enforcing template structure - Responses deviating from approved clinical script formats Required Skills: - Strong Python debugging capabilities - Hands-on experience with LangChain, LlamaIndex, or similar RAG frameworks - Experience with STT/TTS features using - Prompt engineering and LLM output structuring Preferred Experience: - HIPAA-compliant application development - Healthcare data systems or EHR integration What You'll Deliver: - Root cause analysis document for each bug - Fixed Python code with inline comments explaining changes - Test results ...

...building complex, real-world solutions that bridge the gap between human intuition and machine efficiency. I don’t just "link apps"—I build intelligent operations. Whether it’s sophisticated workflows in n8n or advanced business logic in , my goal is to give you back your most valuable asset: Time. Expertise at a Glance: • Custom AI Agents: Building autonomous agents using OpenAI (GPT-4), LangChain, and Vector Databases for personalized customer journeys. • n8n & Make Specialist: Expert in architecting everything from lean startup automations to enterprise-grade multi-step systems. • Deep API & CRM Integration: Seamlessly syncing HubSpot, Pipedrive, Salesforce, Slack, and Shopify to ensure your data flows where it’s ne...

...automatically as new records appear and expose a REST/GraphQL interface for downstream services. The entities and relationships that must be modelled are: • Visa applications • Border crossings • Residency permits • Visa change procedures • Validity periods • Status transitions • Eligibility rules Phase 2 – Graph-RAG enablement Once the schema is stable, we will add a retrieval layer (LangChain or similar) so that a large language model can run natural-language questions against the graph. Clean embeddings, context windows, and response ranking will all be part of this stage. Key expectations • Clean, well-documented code (Python). • Container-ready deployment scripts (Docker + Compose or Helm). • C...

...open-source frameworks (LangChain, AutoGen). - Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge. - Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication. - Integrate AI agents with external systems through secure APIs. - Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred - Collaborate with data engineers for PHI/PII-safe ingestion pipelines. - Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance. Qualifications ---------------- - Bachelor’s in Computer Science, Engineering, or related field. - 3–6 years in AI/ML engineering with hands-on LLM/agentic AI development. - Strong coding skills in Python/TypeScript and experience with ...

...open-source frameworks (LangChain, AutoGen). - Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge. - Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication. - Integrate AI agents with external systems through secure APIs. - Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred - Collaborate with data engineers for PHI/PII-safe ingestion pipelines. - Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance. Qualifications ---------------- - Bachelor’s in Computer Science, Engineering, or related field. - 3–6 years in AI/ML engineering with hands-on LLM/agentic AI development. - Strong coding skills in Python/TypeScript and experience with ...

...timings, fares, and locations for buses, trains, and aircrafts through web scraping the data sources. This information is then organized into a common map of travel hubs, including bus stops, train stations, and airports. The map clearly shows possible connections, making it easy to plan transfers from one vehicle to another. Using the Google maps API, the agentic framework build through Langchain, searches for the best routes between the user’s starting point and destination. If a direct route does not exist, it automatically combines different options, such as a bus plus a train or a train plus a flight, to create a complete journey. The routes are then checked for seat availability, transfer convenience, and overall timing. Finally, the system ranks the re...

...as lead database and enrichment source AI filters companies based on ICP Identifies decision makers Creates and updates leads in CRM (Odoo or similar) Sends personalized outreach automatically Analyzes replies and manages pipeline stages Triggers follow-ups and sales actions Tech stack (open to suggestions): Apollo (data source) CRM integration (Odoo preferred) OpenAI / AI agents / LangChain or similar Automation tools (Make, n8n, APIs) What I’m looking for: Experience with AI agents or automation workflows Strong API & CRM integration skills Ability to design system architecture (not only coding) MVP-focused mindset This starts as an MVP/prototype, with potential long-term collaboration. Please include: Relevant projects or examples Your suggested t...

I’m looking for a developer who can create an AI-powered builder that spins up fully-hosted e-commerce sites on demand. The core requirement is seamless PayPal payment-gateway integration; everything else is negotiable as long as the checkout process works flawlessly through P...PayPal in sandbox and live mode. 3. Setup documentation so I can redeploy or scale the service myself. Acceptance criteria • A fresh site can be generated in minutes from a simple prompt. • PayPal transactions complete without errors (both sandbox and live). • Codebase is clean, documented, and ready for future features like shopping-cart enhancements. If you’ve built with OpenAI, GPT-4, LangChain, Python, Node.js, or similar tooling and can ship quickly, I’d love t...

We are looking for a freelance AI / GenAI developer to work on task-based proj...output, timeline, and payment. Payment Model Payment will be made per task (not monthly or fixed salary) Payment amount will be confirmed before starting each task Payment will be released after successful completion and review of the task Skills Required Python Generative AI / LLMs Prompt engineering AI agents / Agentic AI Model integration and AI workflows Experience with tools like LangChain, LlamaIndex, or similar is a plus Important Notes Tasks may vary in complexity (small POCs to focused AI features) Good communication and timely updates are required Long-term collaboration possible for the right candidate Please share: Brief experience summary Relevant AI / GenAI projects Av...

...just theoretical. A good fit looks like this • You’ve shipped or published work with large language models and know the nuances of prompt design, retrieval-augmented generation, chain-of-thought and similar techniques. • You are comfortable architecting or extending agentic frameworks that can plan, reason and act autonomously. • Clean, reproducible Python is your default; tools such as LangChain, Hugging Face, OpenAI / Azure OpenAI, vector DBS, and orchestration frameworks are familiar territory. Deliverable for each engagement 1. A clearly documented notebook or repo with runnable code. 2. A short read-me detailing model choices, experiment setup, results and next-step recommendations. 3. If integration is part of the scope, an API or service ...

...Implement API-based or controlled DB-view-based integration Architecture & Governance Implement: Tenant isolation Access control Prompt governance AI audit logs Mandatory Skills Strong backend engineering experience Solid SQL and MySQL expertise Experience integrating AI with: Enterprise systems Hands-on experience with: LLMs (OpenAI / Azure OpenAI / equivalent) AI agent frameworks (LangChain, LangGraph, CrewAI, or custom) Understanding of authentication, authorization, and RBAC Highly Preferred Prior work on ERP / CRM / SCM / FinTech systems...

...on the fly • Decide the ideal publish time and frequency • Learn from performance data and iterate its own strategy without manual prompts I’m platform-agnostic for now—Facebook, Instagram, Twitter, or any other network we agree makes sense—but the system must be modular so we can add or drop channels easily. Tech stack is your call: whether that’s a custom LLM pipeline, OpenAI tools, LangChain, AutoGen, or another framework. What matters is that the agent remains extensible; I should be able to plug in new APIs (for ads, email, SEO tasks) later with minimal re-engineering. Deliverables 1. A working AI agent deployed to a cloud environment I control (AWS, GCP, or Azure) 2. Clean, well-commented code plus setup documentation 3. A s...

...prompt-engineering strategies and the practical construction of autonomous or semi-autonomous AI agents. Here’s what I need from you: • A clear, modular curriculum that starts with advanced prompt-design patterns (role prompting, chain-of-thought, multi-shot techniques, retrieval-augmented generation, evaluation frameworks) and progresses to hands-on agent orchestration with frameworks such as LangChain, OpenAI Functions, or similar. • Detailed video scripts, slide outlines, and on-screen demo plans for every lesson—concise, engaging, and suitable for recording in 10- to 15-minute segments. • Working code examples, notebooks, and mini-projects that show learners how to turn prompts into end-to-end workflows (for instance, data extraction agents, m...

...can install the model, configure all dependencies, and expose an endpoint that my front-end widget can call. Here is what I have in mind: • Select and download an open-weight GPT-like model that can reasonably run on local hardware (e.g., Llama-2, Mistral, or another suitable alternative). • Set up the execution environment—Python, CUDA, PyTorch or TensorFlow—plus any supporting libraries (LangChain, FastAPI, uvicorn, etc.). • Create or refine an inference script that keeps response times low enough for smooth chat. • Build a lightweight API (REST or WebSocket) so the website can pass the user’s prompt and receive the model’s reply. • Hand me clear, repeatable launch instructions (ideally Docker-based) so I can restart o...

...interruption detection not triggering correctly - Silence timeout thresholds causing premature disconnections - Response retry logic failing after user interruptions 3. Content Validation: - Output filtering not enforcing template structure - Responses deviating from approved clinical script formats Required Skills: - Strong Python debugging capabilities - Hands-on experience with LangChain, LlamaIndex, or similar RAG frameworks - Experience with STT/TTS features using - Prompt engineering and LLM output structuring Preferred Experience: - HIPAA-compliant application development - Healthcare data systems or EHR integration What You'll Deliver: - Root cause analysis document for each bug - Fixed Python code with inline comments explaining changes - Test resul...

...logs, or mixed-format exports from third-party tools. Core objectives • Parse and normalise those semi-structured sources. • Automate the data-entry and clean-up pipeline so I never touch a spreadsheet again. • Run exploratory and descriptive analysis, then surface results through concise reports or dashboards. I am language-agnostic, but Python with libraries such as Pandas, spaCy, or LangChain would fit well; feel free to propose alternatives if they serve the same purpose. Everything should live in a well-organised GitHub repo, complete with clear commit history and a README that lets me spin the agents up in minutes. Deliverables • Fully functional agent code in GitHub • Setup instructions and dependency file • Sample dataset plu...

...available for sale or licensing, I am also interested in exploring purchase/licensing options. *** ADDENDUM 2 – Precise technical minimal scope (MVP) Minimal scope (MVP) of the system I want to build/use: 1. Orchestration - Implementation of a central orchestrator, preferably using Vellum Workflows, but I am also open to another commercial or custom orchestrator (no open‑source frameworks like LangChain, LlamaIndex, etc. in the core). [skywork]() - Clearly separated modes of operation: - Normal mode: queries go only to the primary model (OpenAI). - Compare mode: manual trigger to compare OpenAI vs Anthropic on the same prompt. - Web‑check mode: manual trigger that sends a Perplexity/web‑research call

...logs so I can see volumes, sources, and basic performance stats in real time Once this core is humming, we will expand to automated email sequences, follow-up logic, AI-driven cold-calling that routes live prospects, and any revenue-positive side gigs the model can handle. For now, show me the working pipeline, walk me through the code, and prove the leads are real and contactable. Python, LangChain, vector databases, or your preferred stack are fine as long as they remain license-free and easy to maintain. I’ll supply access credentials, sample data, and compliance guidelines the moment we kick off. Acceptance criteria: the system must deliver a batch of fresh, validated leads and document the exact steps so I can rerun or scale it independently. I will pay 50.00...

...- Task breakdown - Assignment & tracking - Progress reporting - Surfacing blockers and risks ## Core Requirements - Agents deep dive into a project idea by asking questions - Once the agent understands exactly what the user wants, appropriate documents are created and handed over to the next agent ## Tech Currently using **Google ADK** and having a semi working flow. But open to **LangChain**, **Autogen**, or alternative orchestration frameworks that better support: - Multi-agent coordination - Memory (short- and long-term) - Tool access & integrations --- ## Deliverables - Working demo project with clearly defined agents - Architecture diagram - Setup documentation - Extendable agent design --- Looking for someone experienced in multi-agent...

...back to specific requirement lines or Jira acceptance criteria. 5. Accuracy benchmark: at least 90 % of the agent’s suggestions should be judged “useful” by two senior QA engineers in a blind review. Tech freedom I am comfortable with Python, TypeScript, or similar stacks, and we already host services on AWS. Feel free to propose the best combo of LLM, vector store, and orchestration (LangChain, LlamaIndex, or your own framework). Deliverables • Source code with clear README and setup scripts • Deployment guide for an AWS container or Lambda • A short demo video walking through Jira integration and test-case generation • Post-delivery support period to iron out any edge cases If this matches your skill set, tell me how you ...

...sources • provide actionable recommendations where appropriate • deliver concise summaries of lengthy texts on request I expect a smooth user experience inside Telegram: natural conversation, inline replies, and threaded follow-ups. Technically, you are free to use OpenAI, Claude, or another LLM, so long as retrieval-augmented generation keeps answers grounded in my data. Python or Node.js, LangChain, and a vector store such as Pinecone or Weaviate all fit well here, but I am open to equivalent stacks. Deliverables 1. Fully functional Telegram bot deployed to my server 2. Ingestion pipeline with clear instructions so I can add new documents myself 3. Brief user guide plus setup notes Acceptance is complete when the bot can handle a ten-document pilot set,...

...AI engineer or consultant to help us design and build a robust multi-agent engine for our SaaS platform. The primary goal is to architect and implement a reliable, efficient, and cost-controlled multi-agent system capable of orchestrating a supervisor agent and multiple specialized sub-agents. We are particularly interested in professionals with strong hands-on experience in frameworks such as LangChain, LangGraph, Agno, or any equivalent agent orchestration framework that supports structured multi-agent workflows, tool execution, and state management. Our main priority is not database design or infrastructure setup, but rather the core orchestration engine itself. The system must support real supervisor-to-subagent delegation (not simple swarm-style horizontal agents), proper a...