Full Stack AI Engineer

– from idea and prototype to production rollout and iteration.

• Design, build, and deploy

that interact with real systems (ERPs, email, supplier portals) and deliver measurable outcomes.

• Work with both

(RFQs, emails, quotes, contracts) to power memory, retrieval, and decision-making.

• Build scalable

using tools like LangChain/LangGraph and evaluation frameworks.

• Integrate with

, dealing with real-world messiness, rate limits, and failure modes.

• Contribute to our

for scalable agentic workloads (observability, CI/CD, reliability, cost-awareness).

• Solve hard problems around

• Strong

skills and a track record of writing clean, maintainable, well-tested backend code

• Solid experience designing and building

and data models in production environments

• Experience with

concepts (ETL, data quality, performance) and backend architecture

• Hands-on experience building something

(OpenAI, Claude, etc.) – side projects are fine as long as they’re concrete

• Comfort working in the

– you like to ship small, iterate quickly, and own your work end-to-end

• Comfort with

: you spot problems, propose solutions, and drive them to completion without waiting for perfect specs

• Roughly

• Build AI agents that actually do things

• Massive autonomy, zero bureaucracy

• Immediate impact, your work ships fast to real customers

• Modern stack, no legacy

• Competitive salary + meaningful equity

• High-end equipment

🛠️

• GitHub CI/CD , Sentry & Grafana & Prometheus

•

• Large Language Models (LLMs) and AI infrastructure (evaluation, tracing, guardrails)

• Whatever the