Job Closed
Agentic AI Engineer
- Source: Naukri
- Coforge
- $15,556.08 to $31,112.17 /yr
- Hybrid
- Bengaluru
- Full-Time
- Mid level
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
Skills
- amazon-web-services
- bedrock
- Python
- PyTorch
- Tensorflow
- Scikit-learn
- LangGraph
- microsoft-azure
This job is no longer accepting applications.
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