Senior AI Engineer

We're partnering with a startup building AI powered systems to modernize a complex legacy industry that has historically relied on manual workflows and outdated tooling. In under a year, the company reached ~$10M ARR, became profitable, and is on track to scale to ~$50M ARR this year.

The product sits at the intersection of AI, automation, and real world impact, using LLMs and agentic systems to replace hours or weeks of manual work with intelligent, scalable software. This is a rare opportunity to join early at a company with strong product market fit, real revenue, and meaningful mission driven outcomes.

We are looking for a Senior AI Engineer open to working 3-4 days/week in San Francisco or New York City.

Why join us?
401k with 3% company match
Medical, dental and vision benefits
Annual team offsites in cool places
High impact, mission driven work
You'll be building systems that directly affect people's lives and unlock opportunity for top global talent
Proven traction and real scale ($10M ARR, profitable, and growing rapidly with a clear path to 5x revenue in 2026)
$500 annual fitness stipend
LLMs and agentic workflows are deeply embedded into the core product
Engineering led culture
Small, high caliber team with real ownership over product and technical decisions
Zero to one through scale challenges
You'll work on everything from early architecture decisions to scaling systems for significant growth
Already integrated into workflows of leading AI and technology companies
Rapid iteration, frequent shipping, and direct user feedback loops

Job Details

What You'll Work On
Building and scaling agentic AI systems that autonomously execute complex, multi-step workflows end-to-end
Designing AI orchestration layers, agent harnesses, tool calling frameworks, and execution pipelines for production LLM systems
Developing and deploying LLM-powered infrastructure including retrieval pipelines, memory/context systems, evaluation layers, and workflow automation
Building scalable backend services, APIs, and distributed event-driven architectures that support high-throughput AI workloads
Creating production-grade AI systems focused on reliability, latency, observability, and iteration speed
Designing integrations with external platforms, APIs, and third-party services to expand agent capabilities
Improving AI system quality through evaluation frameworks, prompt iteration, retrieval optimization, and human-in-the-loop workflows
Collaborating closely with product and engineering teams to rapidly prototype and ship new AI-native product experiences
Evolving platform architecture to support rapid growth, increasing workflow complexity, and new AI capabilities over time

What We're Looking For
4+ years of experience building and shipping production software systems, at least 2 years of AI engineering experience
Strong backend engineering fundamentals with deep experience in Python
Proven experience building AI-native products, agentic systems, LLM workflows, RAG pipelines, or orchestration infrastructure in production environments
Strong understanding of distributed systems, async processing, event-driven architectures, and scalable backend design
Experience working with modern AI tooling/frameworks such as LangGraph, LangChain, vector databases, workflow engines, or model serving infrastructure
Ability to move quickly in ambiguous 0 1 startup environments with high ownership and autonomy
Strong product instincts with an interest in building practical AI systems that solve real operational problems
Comfortable operating across the stack when needed, including APIs, frontend integrations, internal tooling, and user-facing workflows
Passion for AI infrastructure, automation, developer tooling, and the future of intelligent software systems