- Bangalore, Karnataka, India
- Full-time · Senior
- 5–8 years
Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.
Responsibilities
- Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.
- Design and integrate prompt engineering, context management, and knowledge-grounding frameworks to optimize LLM performance.
- Collaborate with data, ML, and software engineering teams to build production-grade GenAI microservices and APIs.
- Evaluate and integrate open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, Gemini).
- Design data pipelines for unstructured/structured content ingestion, indexing, and vector retrieval using Milvus, PostgreSQL (pgvector), or similar technologies.
Requirements
- Bachelor’s/Master’s degree in Computer Science, AI, Data Engineering, or related field
- Nice to have: multimodal LLMs
- Nice to have: agentic reasoning
- Nice to have: tool-using AI agents
- Nice to have: pharma experience