Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai, LangChain, and LangGraph. You will work at the intersection of LLMs, Retrieval-Augmented Generation (RAG) systems, and NLP, enabling impactful AI applications across diverse domains.

Key Responsibilities

- Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph).
- Own the AI solution lifecycle, including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring.
- Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure.
- Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL).




- Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions.

Required Skills & Experience

- 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems.
- Solid proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs.
- Experience developing AI-driven backends and services with a strong understanding of scalability and performance.
- Familiarity with vector search technologies, database integration, and cloud-native architectures.
- Excellent communication and collaboration skills; ability to work effectively in a team environment.

Education

- B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field.

Role: Gen AI Engineer

Designation: AI Developer

Experience: 2-5 Years (AI/ML, NLP, Generative AI):

Location: Pune

📌 Gen AI Engineer (Pune)
🏢 Geeky Bee AI
📍 Pune