AI Engineer

DESCRIPTION

abra R&D is looking for an AI Engineer!

abra R&D is looking for an AI Engineer to help build a next-generation agentic analytics platform, the first real-time database optimized for AI agents at scale.

This role focuses on building LLM‑powered agents- with a strong emphasis on TypeScript. In this role, you’ll develop agents that perform analytics-oriented tasks, connect to LLMs via a wrapper/SDK/API, and ship robust, production‑ready capabilities where the LLM is the core of the system.

What You’ll Do

Build and ship LLM agents in TypeScript end‑to‑end (logic, workflows, integrations, and supporting services).
Integrate agents with an LLM wrapper / SDK / API and embed them into product and platform flows.
Implement and iterate on prompts and agent instructions when needed to improve output quality (nice to have; not mandatory).
Develop agents that support analytics use cases (e.g., reasoning over data, generating insights, orchestrating tool calls).
Work closely with engineering and product teams to deliver reliable, maintainable, production‑grade agent behavior.
REQUIREMENTS
Strong experience building agentic workflows (agents that use tools/functions/workflows—not only chat).
Strong hands-on coding experience in TypeScript.
Practical experience with LLM-based systems in production, such as:
Integrating an LLM via API/SDK/wrapper, and/or
Working on a product where an LLM is a core component.
A “move fast and ship” mindset—ability to break down ambiguity and deliver working solutions.

Nice to Have:

Experience with Prompt Engineering (helpful, but not required).
Experience with data systems / analytics / pipelines (advantage), especially when agents interact with structured data or real-time flows.