Generative AI Developer
First seen by Alion on Sep 12, 2026.
About the job :
Location : Bangalore / Lucknow / Pune
Work Model : Hybrid
Role Type : Full-time, Senior Level
Experience : 4 - 6 Years
Role Overview :
We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. The ideal candidate should have hands-on experience with LLM ecosystems, prompt engineering, AI orchestration frameworks, vector databases, and cloud-based AI deployments. The candidate will work closely with Data Engineering, Product, and AI teams to build scalable AI-driven solutions for enterprise use cases.
Key Responsibilities :
- Design and develop GenAI and Agentic AI applications using LLMs
- Build AI agents, multi-agent workflows, and autonomous task execution systems
- Develop RAG-based pipelines using vector databases and retrieval frameworks
- Integrate LLMs such as OpenAI, Claude, Gemini, Llama, or Mistral into enterprise applications
- Work on prompt engineering, fine-tuning, evaluation, and response optimization
- Build AI-powered assistants, Q&A systems, summarizers, automation bots, and intelligent workflows
- Develop scalable APIs and backend services for AI applications
- Collaborate with Data Engineering and Product teams for AI solution deployment
- Optimize model performance, latency, and cost efficiency
Required Skills :
- Strong proficiency in Python
- Hands-on experience with LLMs and Generative AI frameworks
- Experience with LangChain, LangGraph, CrewAI, LlamaIndex, or similar frameworks
- Strong understanding of RAG architecture and vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.)
- Experience with prompt engineering and LLM optimization
- Exposure to multi-agent systems and Agentic AI workflows
- Knowledge of NLP, embeddings, semantic search, and AI orchestration
- Experience with REST APIs, FastAPI, or backend integration
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Understanding of CI/CD, Docker, and deployment workflows
Skills
Python, Generative AI, LangChain, RAG, Docker, NLP, Data Science, Agentic AI