Design and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).
Apply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege).
Collaborate with product, UX, and domain experts to deliver customer‑focused solutions with measurable outcomes.
Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value—faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query.
Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects.
Requirements
8+ years of professional software engineering experience
Strong full‑stack development skills and cloud experience (AWS/Azure/GCP)
Expert in at least one, and proficient across the others: AI Agent development and evaluation
Backend development
Frontend development
Cloud services (AWS/Azure/GCP)
CI/CD and Infrastructure as Code
Site Reliability Engineering (SRE)
Quality engineering / testing strategy
Secure SDLC and privacy by design
Proven track record delivering secure, reliable, cloud‑native systems to production.
Excellent problem‑solving, ownership, and cross‑functional communication.
Benefits
Medical, Dental, & Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.