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
Qualifications
- 10+ years of professional software development experience with strong expertise in Python
- Extensive hands‑on experience with LangChain, LangGraph, StateGraph, CrewAI, Agentic AI frameworks
- Proven experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
- Strong expertise in Prompt Engineering, Conversational AI, NLP applications, and AI agent development
- Experience building scalable APIs using FastAPI
- Strong understanding of HTTP & gRPC, MLOps & AI deployment, and cloud AI services (AWS, Azure, or GCP)
- Experience deploying production‑grade AI solutions on enterprise platforms
- 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
Nice to Have
- Experience with vector databases: Pinecone, Chroma, FAISS
- Experience with knowledge graph technologies: Neo4j, RDF, graph databases
- Open‑source contributions, AI research, publications, or GitHub projects
Preferred Certifications
- AWS / Azure / GCP Cloud Certifications
- AI / Machine Learning Certifications
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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