AI Engineer

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.
  
  

• 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.
  
  

• 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.