GenAI engineer

Key Responsibilities

• Build agentic features, hands-on.
• Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.
• Write production code daily.
• Java/Spring Boot microservices and AI integrations on AWS.
• Learn the full lifecycle—from an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.
• Bring fresh eyes—You're closer to the newest models, frameworks, and techniques than engineers who've been heads-down in one stack for a decade—we want that perspective in the room, not just deference to seniority.
• Grow fast—Work directly with senior engineers who'll push your technical depth, and take on more ownership as you earn it.

What we're looking for

• 4+ years building software professionally—You've shipped real features, not just coursework or side projects, and you understand what "production" demands.
• Genuine curiosity about AI/agentic systems—you've built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn't ship.
• We want to hear about it.
• Solid engineering fundamentals—distributed systems basics, APIs, cloud infrastructure (AWS).
• You need to know what good code and good design look like. You experiment and iterate ideas quickly and bring new perspectives.

Nice to have

• Experience with multiple LLM APIs or agent frameworks
• Python or Go POCs using AI for coding, automation, or data work
• Contributions to open source AI/ML tooling