Agentic AI Engineer / Data Scientist

Job description

**About Coforge** - Coforge is a global **digital services and solutions provider**, specializing in **digital transformation, cloud, data, and AI-driven solutions** - The company focuses on key industries such as **Banking & Financial Services, Insurance, Travel, Transportation & Hospitality** - Coforge is known for its **engineering-led approach**, strong client partnerships, and emphasis on **emerging technologies like AI, automation, and cloud modernization** - With a global delivery model and innovation-driven culture, Coforge provides opportunities to work on **cutting-edge AI/ML and enterprise-scale digital transformation projects** **Agentic AI Engineer / Data Scientist** *35 Years Experience • Full-Time* **Key Responsibilities** - Design and ship autonomous AI agents with real-world tool use, memory, and multi-step reasoning - Build and optimize RAG pipelines — from chunking strategies and hybrid search to re-ranking and contextual retrieval - Own end-to-end ML pipelines from data ingestion through to model serving at scale - Deploy and manage models on AWS Bedrock and AgentCore runtime - Engineer prompts and context strategies that push model performance to its limits - Instrument MLOps practices — CI/CD, orchestration, monitoring, and model governance — so what you build stays reliable in production **What will help you to be successful in this role** **Required** - 3–5 years of hands-on experience building production ML or AI systems - Strong Python skills and fluency with ML libraries (PyTorch, TensorFlow, Scikit-learn) - Deep experience with LLM APIs, embeddings, and vector databases - Solid grasp of RAG architectures — chunking, hybrid search, re-ranking, contextual retrieval - Hands-on experience building agents with at least one framework: **Strands, LangGraph, OpenAI Agents SDK, Google ADK, or Azure AI Agent Service** - Clear understanding of agentic primitives: workflows, tools, short-term and long-term memory - Strong prompt engineering and context engineering skills - Experience deploying on **AWS Bedrock** and **AgentCore runtime**