AI Engineer

Role Overview

We’re looking for an AI Engineer to design, build, and scale the core systems powering our agentic platform, translating advanced AI techniques into robust, production-grade applications.

You’ll work across the stack: from backend infrastructure and APIs to AI model integration, orchestration, and evaluation. The ideal candidate thrives on building high-quality systems end-to-end, and has hands-on experience bringing AI-powered products into real-world use.

What You’ll Do

• Design, build, deploy, and maintain backend services and workflows that integrate LLMs, RAG, and tool-using agents, with built-in guardrails, fallbacks, and evaluation.
• Work closely with the team across research and product to turn prototypes into robust, production-ready systems.
• Play a pivotal role in shaping how we build - technically, operationally, and culturally - as part of an early-stage team.

What You Bring

• 4+ years of professional software engineering experience, including work on AI/ML-powered systems
• Proficiency in Python and experience building production backend services, including working with cloud environments and containerization (Docker, Kubernetes is a plus).
• Hands-on experience in building and deploying machine learning or LLM-based systems in real-world settings.
• Solid understanding of distributed systems, data pipelines, and system reliability.
• Strong ownership and product-minded thinking, able to collaborate effectively, understand user pain points, propose solutions, and operate well in a fast-paced early-stage environment.

Bonus points if you also have:

• Experience with agent frameworks (LangGraph, Smolagents, or similar).
• Prior work on developer tools, code intelligence, or AI-driven software systems.
• Exposure to MLOps practices (CI/CD for ML, model monitoring, evaluation pipelines).
• Familiarity with frontend or full-stack systems.
• Experience with NLP.