Build and extend agent platform capabilities — new tools, APIs, data connectors, and integrations that expand what AI agents can do without manual intervention
Ship self-serviceable GTM tooling that enables non-technical users to set up their own AI-initiated LLM workflows. - Partner with AI Product Managers on platform requirements — translate their roadmap blockers into well-scoped engineering deliverables with reliable timelines
Identify and build reusable infrastructure — proactively design horizontal capabilities that accelerate multiple product workstreams at once
Own reliability and observability for the systems you build — you're not handing off to an ops team
Demo your work weekly and communicate clearly to technical and non-technical stakeholders alike
The Ideal Candidate
You're an engineer who ships things. You've built LLMs and agents in production — not as a side experiment, but as the core of what you were delivering. You have strong product instincts alongside engineering depth: you ask "who is this for and what do they actually need?" before writing code. You move fast without being careless, and you use AI coding tools as force multipliers, not crutches. You're motivated by ownership and velocity. You'd rather have a small surface area and full accountability than a large team and a ticket queue. ###
Must Haves
6+ years of software engineering experience (strong internship and project portfolios considered)
Demonstrated experience building with LLMs, agents, or AI APIs in a real product context — show us something that shipped
Proficiency in Python; comfort picking up new frameworks quickly
Experience integrating external APIs and building data pipelines
Strong written communication — you can write a clear spec and a clear async update
Ability to work with high autonomy, minimal oversight, and surface blockers proactively
Nice to Have
Frontend or full-stack experience (React/Next.js) for building internal tools and dashboards
Familiarity with agentic frameworks (LangGraph, CrewAI, Autogen) or production-scale prompt engineering
Prior experience in a startup or high-velocity small team
Open source contributions or a public portfolio of AI projects
#LI-ML1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
