We're Hiring: Senior Python & LLM Developer (10+ Years Experience)
Are you passionate about building intelligent systems powered by Large Language Models (LLMs), Agentic AI, RAG Architectures, and Conversational AI ?
We are looking for a highly skilled Senior Python & LLM Developer to join our AI engineering team and help shape the next generation of AI-driven products. This is an exciting opportunity to work on cutting-edge technologies including LangChain, LangGraph, Agentic Frameworks, RAG Pipelines, Vector Databases, Knowledge Graphs, and Cloud AI Services .
What You'll Do
As a Senior Python & LLM Developer, you will play a critical role in designing, building, and deploying enterprise-grade AI solutions that solve complex business challenges.
Key Responsibilities
Develop and deploy advanced AI/ML solutions leveraging LLMs, NLP, and Agentic AI frameworks
Design and implement sophisticated Retrieval-Augmented Generation (RAG) architectures to deliver accurate, context-aware AI experiences
Build intelligent, stateful AI agents and multi-agent workflows using LangChain, LangGraph, StateGraph, CrewAI, LlamaIndex , and similar frameworks
Develop scalable backend services and high-performance APIs using Python, FastAPI, HTTP, and gRPC
Create next-generation conversational AI platforms, chatbots, and virtual assistants through advanced prompt engineering and agent orchestration
Integrate AI applications with SQL, NoSQL, Vector Databases, Knowledge Graphs, and third-party systems
Implement MLOps best practices and contribute to CI/CD pipelines using Docker, Kubernetes, and Cloud Platforms
Collaborate with Data Scientists, Architects, Product Managers, and Engineering teams to deliver innovative AI solutions
Stay at the forefront of emerging AI technologies and drive innovation across the organization
Must-Have Skills
10+ years of professional software development experience with strong expertise in Python
Extensive hands-on experience with:
- LangChain
- LangGraph
- StateGraph
- LlamaIndex
- CrewAI
- Agentic AI Frameworks
Proven experience designing and implementing RAG (Retrieval-Augmented Generation) solutions
Strong expertise in:
- Prompt Engineering
- Conversational AI
- NLP Applications
- AI Agent Development
Experience building scalable APIs using FastAPI
Strong understanding of:
- HTTP & gRPC
- Docker & Kubernetes
- MLOps & AI Deployment
- Cloud AI Services (AWS, Azure, or GCP)
Experience deploying production-grade AI solutions on enterprise platforms
Nice to Have
Experience with Vector Databases:
- Pinecone
- Chroma
- FAISS
Experience with Knowledge Graph technologies:
- Neo4j
- RDF
- Graph Databases
Exposure to additional languages such as Java, C#, or JavaScript
Open-source contributions, AI research, publications, or GitHub projects
Qualifications
- Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Demonstrable portfolio of AI, NLP, LLM, or Agentic AI projects
Preferred Certifications
AWS / Azure / GCP Cloud Certifications
AI / Machine Learning Certifications
Why Join Us?
Work on cutting-edge Generative AI and Agentic AI initiatives
Build large-scale enterprise AI applications used by global customers
Collaborate with top AI Engineers, Data Scientists, and Architects
Influence technical direction and AI strategy
Continuous learning and exposure to the latest advancements in LLMs, RAG, Agents, and AI Platforms
Opportunity to solve real-world business problems using transformative AI technologies
Ready to build the future of AI?
If you're excited about LLMs, Agentic AI, RAG, Conversational AI, Knowledge Graphs, and scalable AI platforms , we'd love to connect with you.
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