About The Role

You will design and build AI agents that do real work for our clients: answering support questions from their own documents, qualifying leads, screening candidates and handing over to a person at the right moment. This is production engineering, not research. Every agent you build ships to real users and has to keep working.

What you will do

• Build agents that answer from client data using retrieval, tools and explicit guardrails.
• Connect agents to the systems clients already use, such as help desks, CRMs and WhatsApp.
• Create test sets from real conversations, and measure quality before and after every change.
• Monitor live agents, review conversations and improve answers over time.
• Explain trade-offs to clients in plain language.

You might be a positive fit if





• You have shipped LLM-based features to production and know why some of them failed.
• You are comfortable in TypeScript or Python, and with APIs, queues and databases.
• You care about evaluation, not just demos.
• You can work in weekly increments and enjoy showing your work.

Nice to have

• Experience with retrieval, embeddings and vector or hybrid search.
• Experience with Zendesk, Intercom or the WhatsApp Business Platform.

How we work

• A remote-first team, working with clients in the US, UK and India.
• We ship working software every week and show it to the client.
• Clients own the source code and infrastructure we build, so we earn our next project by doing this one well.

📌 Ai Engineer Lakhipur
🏢 Raglic
📍 Lakhipur