Sr Agentic Systems Engineer

Overview

Build and productionize intelligent, autonomous systems powered by LLMs, AI agents, tool use, and orchestration frameworks within an established platform architecture.

What you'll do

• Build and ship AI applications using Python and/or Node.js.
• Implement multi-step, tool-using agent workflows.
• Build and tune RAG pipelines for enterprise use cases.
• Integrate agents with enterprise applications through APIs and connector frameworks.
• Create test cases and evaluation harnesses for agent behavior.
• Implement observability, tracing, failure analysis, and regression testing.
• Apply guardrails, access controls, validation, and safety mechanisms.

What you'll need

• 6+ years of professional software engineering experience.
• 1–2 years of hands-on experience with LLMs or agentic frameworks.
• Strong proficiency in Python and/or Node.js.
• Experience with OpenAI or Anthropic and LangChain or LangGraph.
• Expertise in prompt engineering, structured outputs, tool integration, and function calling.
• Experience with RAG, vector databases, embeddings, and multi-agent workflows.
• Knowledge of SQL/NoSQL databases, AI security, access controls, and audit logging.

Nice to have

• Understanding of AWS or GCP deployment and infrastructure.
• Knowledge of Docker and GitHub Actions.
• Experience with AI observability, guardrails, and safety mechanisms.
• Familiarity with data warehouses or analytical query engines.

Details

• Location: Bangalore, India.