Junior AI Engineer

Role overview An early-career engineering role on a remote team building applied AI products, including intelligent agents and the orchestration that lets teams of agents work together. The position is fully remote, with meaningful overlap with US hours for live collaboration while day-to-day work stays asynchronous and outcome-driven.

Responsibilities - Wire up agent workflows in n8n and Flowise to power product features. - Integrate third-party APIs into agent-driven automations. - Write the Python and SQL that runs behind the agents. - Ship and deploy agent components using Docker and Coolify. - Work with vector databases such as Qdrant and frameworks like LangChain as you grow into larger, orchestrated agent systems.

Requirements - Curiosity, proactivity, and a strong desire to learn in an applied AI environment. - Comfort with Python and SQL as core working languages. - Some exposure to or willingness to quickly learn workflow tools like n8n and Flowise. - Familiarity with containerization using Docker and deployment tooling such as Coolify. - Interest in vector databases (e.g., Qdrant) and agent frameworks like LangChain. - Ability to operate asynchronously while maintaining overlap with US working hours for collaboration.

Nice to have - Hands-on experience integrating REST or third-party APIs in past projects. - Understanding of how LLM-based agents are orchestrated across multi-step workflows.

Benefits and work setup - Fully remote role on the India engineering team, with small teams of people and agents owning real products end to end. - Mentorship from senior engineers and meaningful ownership handed over quickly. - Outcome-driven culture that prioritizes what you ship over where you sit.