Associate AI Engineer

Batch: 2023/2024/2025/2026. What You'll Do: - Build and deploy LLM-powered and agentic AI applications - Design agent workflows, tool-calling, and multi-agent systems - Develop RAG pipelines and integrate vector databases - Apply prompt engineering to solve real-world use cases - Build APIs/pipelines to serve GenAI features in production - Evaluate, monitor, and improve model performance and reliability What We're Looking For: - Degree in CS, AI/ML, Data Science, or related field - Strong Python fundamentals and solid grasp of ML/LLM concepts - Hands-on with LLM APIs (OpenAI, Anthropic, or open-source models) - Familiarity with LangChain, LlamaIndex, or similar frameworks - Understanding of RAG and vector databases (Pinecone, Weaviate, FAISS) - GenAI/agentic projects, internships, or a strong portfolio - Eagerness to learn, take ownership, and grow with the team Good to Have: - Multi-agent frameworks (LangGraph, CrewAI, AutoGen) - MCP, tool/function calling, and workflow automation - Model deployment (Docker, APIs, cloud) - SQL/NoSQL, Git, agile workflows Note: Subject line for email application: Application – AI Engineer