Agentic AI Engineer (Python)

Job Location: Bangalore

Commitment: Full-time Role Summary

Job experience : 6-10 years

We’re seeking a Python-focused engineer skilled in AI and agentic workflows. You’ll build and

deploy agents that reason, integrate tools, and automate tasks—serving as our first hire in this area.

Responsibilities

• Develop workflows where agents act autonomously. E.g., document reasoning, cause ranking, ticket generation.
• Integrate tools, APIs, and knowledge sources using Python, FastAPI, and async I/O.
• Implement retrieval-augmented generation (RAG) and manage agent orchestration.
• Deploy solutions using Docker, CI/CD tools, with logging and monitoring for performance tracking.
• Collaborate with domain experts to iterate on prototypes, delivering functional agent workflows.
• Write clear documentation detailing design, workflow logic, and outcomes.

Qualifications

• Experience: 6-10 years using Python in AI or applied machine learning work.
• Education: A bachelor’s degree in computer science, Engineering, or a related field is required.
• A master’s degree is a plus.

Technical Skills:

• Python, FastAPI, async I/O
• Agent orchestration and RAG workflows (e.g., LangChain, LlamaIndex)
• Tool/integration development with external APIs or knowledge bases
• Docker, CI/CD pipelines, logging and observability setup
• Track Record: Delivered agent-based prototypes that reason, call tools, and support operational tasks.
• Soft Skills: Ability to document clearly, deliver iteratively, and collaborate with non-technical domain experts.

Interested candidates can share their resume on hiring@copperpoddigital.com