AI Engineer, Agentic Systems
Design and build the agent runtime, orchestration and tool-calling layer of the NARIRO Platform, and the custom AI systems we deliver to customers.
Applications close on 10 October 2026.
About the role
NARIRO builds an agentic AI platform and the engineering services that put it into production. As an AI Engineer you will work on both sides: the core agent runtime and orchestration layer of the platform, and the custom AI systems we design for customers who need them running inside their own environment.
You will own features end to end, from design through production, working closely with a small team in Lucknow.
What you will do
- Design and build agent workflows: triggers, reasoning loops, memory, tool calls and structured outputs.
- Integrate models from multiple providers and build routing logic based on cost, latency and task.
- Build integrations with external systems and tools, including MCP servers.
- Add evaluation, logging and guardrails so agent behaviour can be tested, audited and trusted in production.
- Work with customer engineering teams to scope and deliver custom AI systems.
What we are looking for
- Strong Python or TypeScript and solid software engineering fundamentals.
- Hands-on experience building applications with large language models: prompting, tool use, retrieval and evaluation.
- Experience designing and consuming APIs, and working with databases, queues and background jobs.
- Comfort debugging non-deterministic systems and writing tests around them.
- Clear written communication and the habit of documenting decisions.
Nice to have
- Experience with the Model Context Protocol (MCP) or similar tool-integration standards.
- Experience running services in containers on Linux.
- Interest in security, governance and auditability of AI systems.
How to apply
Apply using the form on this page. Tell us what you have built, and link to code or write-ups if you can. We read every application.