Elan is a platform for building, deploying and scaling AI agents. A developer writes an agent, and the platform provides everything else needed to run it as a product.
As Agentic AI Application Engineer you are the engineer developers talk to. You help them design and build their agents, and you turn what you learn into material every developer can use.
What you will own
Technical partnership. Working with companies, startups and developers on their agent designs: architecture, frameworks, tool use, evaluation and deployment.
Starter kits and boilerplates. Ready-to-run templates for common agent patterns, kept current with the platform.
Example repos. Complete, working example agents in Python, TypeScript and Go, using frameworks such as Google ADK and LangGraph.
Documentation. Guides, tutorials and how-tos, written from the questions developers actually ask.
Demo videos. Recording and editing walkthroughs and demos, and publishing them on YouTube and Loom.
Feedback loop. Bringing what developers struggle with back to product and engineering, with specifics.
How you will work
You report to the head of product and technology.
You work with the Platform Engineer and the DevOps Engineer when a developer's problem points at the platform itself.
You work with Developer Community and Communications on content for events and hackathons.
You are based in Noida with a hybrid working arrangement. Compensation is 30 to 70 LPA.
We hire for four things: ownership, curiosity, developer obsession and delivering results.
Minimum requirements
4 to 8 years of software engineering, with at least 1 building LLM applications or agents.
Has built and shipped agents with at least one framework, such as Google ADK, LangGraph, CrewAI or the OpenAI Agents SDK.
Strong Python, and working TypeScript.
Tool calling, retrieval, prompt design, and evaluating agent output.
Explains technical ideas clearly to both engineers and non-engineers, in writing and on camera.
Has published technical content: documentation, tutorials, blog posts, talks or videos.
Comfortable working directly with customers and external developers.
Good to have
Experience as a developer advocate, solutions engineer or forward-deployed engineer.
Video recording and editing, including screen recordings.
An active GitHub profile or open-source projects.
MCP (Model Context Protocol) servers.
