Onsite Python AI/ML Developer Needed

@mohjib092

Hi, I’m an experienced Python engineer with hands-on FastAPI and LangChain experience, comfortable building asynchronous back-ends, orchestrating LLMs with OpenAI/Hugging Face, and managing embeddings in Pinecone/FAISS; I can contribute from day one, delivering clean, Dockerised microservices and well-documented AI agent scripts for your Noida R&D pod.

@avinashdubeyg209

Noticed you're building async LLM microservices, most candidates gloss over the embeddings pipeline optimization piece, but that's where latency actually kills production systems. I've shipped FastAPI backends that handle LangChain agent orchestration with Pinecone at scale, built custom monitoring for OpenAI/HF model switching, and containerized the entire stack for cloud deployments. One question: are you planning to run inference locally or route everything through APIs, since that changes how we'd structure the caching layer? Can start immediately, and happy to pair on the architecture first. I'm available for on-site work as I live in Delhi.

@kaustubhbawa123

Hi, I am an IIT Grad, Python Institute PCAP Certified, ex-BFSI and worked at fortune 500 companies. I will make it a reality for you. As a Python Developer, I will design and optimize micro-services that utilize FastAPI for asynchronous back-end development, integrate LangChain chains and agents for seamless model orchestration, and manage embeddings with Pinecone or FAISS, all containerized in Docker for efficient local and cloud runs. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@KarthikTechCon

Hello, I’m **Karthik**, a **Senior Python & AI Solutions Architect with 15+ years of experience** building scalable backend systems, LLM integrations, and production-ready AI services. I have strong hands-on experience developing **FastAPI microservices, LangChain pipelines, and LLM-powered applications**. **Relevant experience:** • Building **FastAPI-based asynchronous APIs** for AI-driven platforms • Developing **LangChain chains and agents** integrated with external tools and workflows • Working with **OpenAI and Hugging Face models** for production AI features • Managing embeddings with **Pinecone / FAISS vector databases** • Data orchestration using **PostgreSQL, MongoDB, and Redis** • **Dockerized services with CI/CD pipelines** for scalable deployment **How I can contribute:** • Build clean, well-tested **FastAPI endpoints for LLM services** • Design **LangChain agents connected to vector stores and external APIs** • Optimize AI pipelines for **performance and scalability** • Deliver **Docker-ready services with documentation for each sprint** I’m comfortable working in **fast-moving R&D environments, sprint cycles, and close collaboration with product teams**. Happy to discuss the role and how I can contribute to your **LLM-focused engineering team in Noida**. Best regards, **Karthik** 15+ Years | Python | AI/ML | LLM Systems & FastAPI ?

@TechizeBuilder

Hi, I came across your project "Onsite Python AI/ML Developer Needed" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in PostgreSQL, Git, OpenAI. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@Hemantt841

I see you’re looking for a hands-on Python AI/ML developer to join your LLM-focused R&D pod onsite in Noida, ready to contribute from day one with FastAPI and LangChain expertise. Your emphasis on building asynchronous back-ends and working closely with the founding team really stands out. Your need for designing micro-services calling LLMs, managing embeddings with Pinecone or FAISS, and orchestrating data flows across PostgreSQL, MongoDB, and Redis while containerizing everything with Docker matches a complex but exciting challenge. I also understand the importance of quick prototyping, followed by scaling proven AI features, and the strict onsite collaboration requirement. I recently built a FastAPI-based microservice architecture integrating LangChain agents with vector stores like FAISS, managing embeddings, and orchestrating data pipelines using PostgreSQL and Redis. This included Docker containerization with CI/CD pipelines for staging deployments. My work also involved direct integration with OpenAI and Hugging Face models, delivering clean, tested endpoints and thorough documentation for hand-offs. I can deliver the first sprint’s clean FastAPI endpoints and LangChain agent scripts within two weeks, aligning with your sprint schedule and demo expectations. Let’s discuss how I can help accelerate your AI feature rollout onsite in Noida.

@robertw0802

Hi there, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications, excelling in Full-Stack Development, AI & Machine Learning, and DevOps. I've built clean, well-tested FastAPI endpoints and LangChain agent scripts, and have extensive experience with asynchronous back-ends and containerization. Recently, I developed and deployed a multi-tenant SaaS chatbot platform, optimizing LLM integrations and managing embeddings effectively. My deep technical background in full-stack and AI engineering makes me well-suited to align with your goals of rapid prototyping and iterating on AI features. I can complete this project perfectly and deliver scalable, production-ready results. I am committed to clean architecture, structured documentation, CI/CD automation, and OWASP-based security practices. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. What specific AI features do you envision for the initial sprints?

@Visharaa2024

Hello, I’m a **Python engineer experienced in building LLM-powered back-end services** and would be excited to contribute to your R&D team in Noida. I have hands-on experience developing **asynchronous APIs using FastAPI**, building **LangChain agents and chains**, and integrating both **OpenAI and Hugging Face models** for production AI features. My typical workflow involves designing **microservices that interact with LLMs, managing embeddings with vector databases like Pinecone or FAISS, and orchestrating data through PostgreSQL, MongoDB, and Redis**, all containerized with **Docker for reliable local and cloud deployments**. I’m comfortable working in **fast-paced sprint cycles**, writing **clean, well-tested endpoints**, building **LLM pipelines connected to external tools**, and documenting each feature for smooth team collaboration. I’m confident I can start contributing from day one, rapidly prototype new AI capabilities, and help scale the successful ones into production-ready services while collaborating closely with your engineering and product teams.

@vishala81

Hello, This role matches my day-to-day work closely. I build production FastAPI services around LLMs, LangChain agents, vector databases (Pinecone/FAISS), and containerised deployments using Docker, with OpenAI and Hugging Face models in active use. I’m comfortable owning features end-to-end — from prototype to hardened micro-service with proper testing, logging, and documentation. I’ve designed async backends that orchestrate PostgreSQL, MongoDB, and Redis pipelines, manage embeddings at scale, and expose clean APIs for product teams. Rapid experimentation followed by production-grade refinement is exactly how I prefer to work, so two-week sprint cycles and demo-driven progress fit me well. Regarding engagement: for full-time onsite work in Noida Sector-62, my monthly fee is ₹1.5 lakh. For remote/online collaboration with the same output quality and availability, my fee is ₹70k per month. I can start immediately and ramp up from day one. If you’re looking for someone who can contribute without hand-holding and ship reliable AI features quickly, I’d be glad to discuss next steps.

@marcioazambujo

As an experienced software engineer, I have had the privilege of building end-to-end applications for over a decade. My expertise lies not only in modern front-end development but also in robust back-end systems using Python (including FastAPI), Java, and databases like PostgreSQL. In addition to this, I have what you're looking for — significant hands-on experience in AI/ML technologies — all the way from building seamless interfaces with OpenAI and Hugging Face models, managing embeddings through Pinecone or FAISS to coordinating data flows seamlessly using PostgreSQL, MongoDB, and Redis.

@indreshpnk

Hello, I understand you’re looking for a Python AI/ML developer to build and optimize FastAPI-based microservices for LLM applications using LangChain, OpenAI, and Hugging Face models. The goal is to deliver scalable, production-ready AI services with efficient embeddings, vector search, and containerized deployment. Here’s what I can provide: • Development of asynchronous FastAPI backends for LLM-powered features with clean, well-tested API endpoints. • Building LangChain chains and agents integrated with vector stores like Pinecone or FAISS for efficient embedding retrieval. • Dockerized microservices with integrations across PostgreSQL, MongoDB, and Redis, ready for scalable deployments and CI workflows. I bring over 4+ years of experience in Python development, AI integrations, and backend architecture, focusing on building reliable APIs and scalable AI-powered applications. Just to clarify a few things: • Which vector database do you primarily prefer for production—Pinecone or FAISS? • Will the initial sprint focus more on building new AI features or optimizing existing pipelines? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@seniordotnetdev

Hi Your LLM-focused R&D role aligns closely with my experience building AI-powered backend services and scalable API systems. I’m comfortable developing asynchronous microservices using FastAPI and building production workflows using LangChain with vector databases such as Pinecone and FAISS. In previous projects I have designed APIs that interact with LLM providers including OpenAI and Hugging Face, managing embeddings, retrieval pipelines, and agent-based workflows. I also have experience orchestrating data flows across PostgreSQL, MongoDB, and Redis while containerizing services with Docker for reliable local and cloud deployment. I’m comfortable working in fast iteration cycles, delivering clean API endpoints, well-tested AI services, and clear documentation each sprint. I’d be happy to discuss the architecture and contribute to the R&D roadmap immediately. Best regards, Edward

@DigitalNightOwl8

Hello there , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in PostgreSQL, Python, Git, FastAPI, Machine Learning (ML), Java, LangChain and OpenAI. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Eager to hear your feedback

@arvinjay007

Hi there, it’s clear your biggest need is an onsite Python engineer who can immediately contribute to your LLM-heavy FastAPI micro-services setup in Noida. For the past 5 years, I’ve been building asynchronous FastAPI back‑ends, production-grade LangChain agents, and vector store integrations using Pinecone and FAISS, exactly the workflow your R&D pod relies on. I’ll design clean, containerised micro-services, implement LangChain agents connected to OpenAI and Hugging Face models, optimise your data flows across PostgreSQL, MongoDB, and Redis, and deliver fully tested endpoints with CI-ready Docker images. I’ll also document each sprint thoroughly and sync closely with your product and design teams for weekly demos. Best regards, Arvin Jay

@karthikresonite

Hello, Resonite Technologies is excited to support your LLM-focused R&D pod in Noida. Our team has strong hands-on experience building AI microservices using Python, FastAPI, LangChain, OpenAI, and Hugging Face models. We have delivered production solutions involving LangChain agents, vector databases (Pinecone/FAISS), embeddings pipelines, and scalable async APIs. Our engineers are also experienced with PostgreSQL, MongoDB, Redis, and Docker-based deployments with CI/CD. For this role, we can contribute by: • Developing clean, well-tested FastAPI endpoints • Building LangChain agents integrated with vector stores and tools • Creating Dockerized AI services ready for staging and production • Providing clear documentation and sprint hand-offs Our proven team is comfortable working in fast R&D cycles, two-week sprints, and iterative AI experimentation while ensuring production-ready systems. We are ready to collaborate closely with your engineering team and support onsite work in Noida if required. Looking forward to discussing the opportunity. Best regards, Resonite Technologies AI & Python Development Team

@virendremoond

Hello, Your LLM R&D role immediately caught my attention because it aligns closely with the kind of systems I enjoy building—AI-powered microservices that move quickly from prototype to production. I am a Computer Science graduate with strong experience in Python backend development and AI application engineering. I have built several systems involving LLM integrations, RAG pipelines, and AI-powered developer tools, which required designing scalable APIs, embedding pipelines, and intelligent retrieval systems. I am comfortable working in fast iteration environments, experimenting with AI features, and refining them into production-ready services. I also follow clean development practices including Git-based workflows, documentation, and modular service design. The opportunity to work closely with the founding engineering team and contribute to an LLM-focused R&D environment is particularly exciting to me, especially where new AI features are rapidly prototyped and shipped to real users. I would be happy to discuss how I can contribute to building scalable AI services and LangChain-based workflows for your platform. I am able to relocate to noida for this work, i have few questions regarding time period of the completion of the project and working hours, etc. Best regards, Virendra

@reetinders6

I have previously worked on several projects involving AI and full-stack system development, which makes me confident that I would be a strong fit for this role. My experience includes working with Large Language Models (LLMs), LangChain, and Natural Language Processing (NLP) to build intelligent and scalable applications. Through these technologies, I have developed systems that can process, analyze, and generate human-like language efficiently. In addition to my AI expertise, I also have experience building end-to-end applications, integrating backend services, APIs, and user interfaces. With this combination of AI and full-stack development skills, I believe I can effectively meet the requirements of this role and contribute to building innovative, high-impact solutions for your team.

@kanchans1

need a clear, actionable plan focused on one thing—raising sales for my service-based business. The offering can be purchased by everyday consumers and by corporate buyers alike, so the strategy must resonate with both B2C and B2B audiences without diluting the message. What I expect from you • Analyse my current positioning, collateral and any available performance data. • Distil the strongest value propositions into concise key points I can reuse across web copy, decks and ads. • Recommend the best-fit channels (email, paid social, partnerships, SEO, webinar funnels—whatever makes sense) and outline how each will contribute to new revenue. • Lay out a 60- to 90-day roadmap with milestones, projected KPIs and a simple way for me to track progress. Please base your work on solid market research, include practical examples or templates where helpful, and keep jargon to a minimum so I can implement fast.

@bhartimalu

Hello, I am an experienced Python developer with a strong background in machine learning, data processing, and automation. I can assist with developing, optimizing, and deploying machine learning models as well as handling data pipelines and backend integrations. I am comfortable collaborating with teams, understanding project requirements, and delivering reliable solutions using Python and related ML frameworks. Estimated rate 15 USD per hour. Please share more details about the role, project scope, and expected responsibilities. Regards Bharti M