Senior Python and LLM Developer
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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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