AI/ML Engineer

📋 Description

• Build and improve LLM-powered features and multi-step agentic workflows (e.g., using LangGraph)
• Build retrieval pipelines (chunking, embeddings, vector search and re-ranking) that give models the
• Implement function calling and API integrations so that models can reliably query internal services
• Build evaluation datasets, metrics and automated test suites to measure accuracy, hallucination
• Package and deploy models and services using Docker and CI/CD pipelines, add monitoring and
• Work closely with senior engineers, data scientists and product managers to turn customer and

🎯 Requirements

• 1–3 years of experience building and deploying ML/AI solutions in production, including at least 1
• Strong Python skills, with experience writing clean, tested, production-grade code and building
• Hands-on experience with LangChain, LangGraph, LlamaIndex or similar frameworks, and with LLM APIs
• Practical experience building RAG pipelines using vector databases such as Pinecone, Milvus
• Good understanding of prompting techniques (few-shot, Chain-of-Thought, ReAct) and of getting
• Solid grounding in ML and NLP fundamentals, with working experience in PyTorch or a similar