Job DescriptionRole: Agent Engineer NExperience: 3 - 6 years NLocation: Bengaluru NRole SummarynWe 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. NRoles & Responsibiliti Nn Build a lightweight, scalable agent harness that allows the business to configure and deploy multiple domain-specific agents. N Design the core orchestration loop, including memory management, state handling, tool calling, and deterministic guardrails. N Ensure the agent layer is model-agnostic, easily swappable, and testable across different commercial and open-source LLMs. N Optimize agent performance for low latency, efficient token usage, and minimal memory footprint. N Establish robust evaluation frameworks (evals) to measure agent reasoning, tool selection accuracy, and task completion. N Collaborate with the research team to tune open-source LLMs specifically for optimal agentic behavior and tool use.



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

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