Role: Agent Engineer

Experience: 3 - 6 years

Location: Bengaluru

Role Summar y

We are building an AI-native B2B intelligence platform. You will build our core Agentic Harness — a performant, configurable agent layer that powers everything from our database search to sourcing and selling agents. This is a hands-on builder role focused on system design, observability, and agent performance.

Roles & Responsibiliti

- Build a lightweight, scalable agent harness that allows the business to configure and deploy multiple domain-specific agents.
- Design the core orchestration loop, including memory management, state handling, tool calling, and deterministic guardrails.
- Ensure the agent layer is model-agnostic, easily swappable, and testable across different commercial and open-source LLMs.
- Optimize agent performance for low latency, efficient token usage, and minimal memory footprint.
- Establish robust evaluation frameworks (evals) to measure agent reasoning, tool selection accuracy, and task completion.
- Collaborate with the research team to tune open-source LLMs specifically for optimal agentic behavior and tool use.





Skill s Required

Must Have

- 3+ years of experience in backend or ML engineering, with robust Python skills.
- Experience building agentic workflows or orchestration loops
- Deep understanding of LLM application architecture, state machines, and API integrations (FastAPI, PostgreSQL).
- Strong systems engineering mindset—you treat agent development as reliable software engineering, not just prompting.
- Experience benchmarking, profiling, and optimizing LLM performance and latency.

Good to Have

- 3+ years of experience in backend or ML engineering, with strong Python skills.
- Experience building agentic workflows or orchestration loops
- Deep understanding of LLM application architecture, state machines, and API integrations (FastAPI, PostgreSQL).
- Strong systems engineering mindset—you treat agent development as reliable software engineering, not just prompting.
- Experience benchmarking, profiling, and optimizing LLM performance and latency.

📌 Agent Engineer (India)
🏢 Tata Consultancy Services
📍 India