Full-Stack Engineer (AI)

Sobek AI•Seattle, WA

50d•$170,000 - $230,000•Hybrid

About The Position

Sobek AI is building the secure nervous system for life‑sciences innovation networks and intergovernmental emergency response. Backed by $10M+ in grants and funding, we partner with globally significant organizations to accelerate mission‑critical, distributed workflows with AI—while protecting IP and sensitive public‑health data. We’re looking for a bedrock full‑stack hire to own product surfaces end‑to-end—from shaping the UI to the services and data models behind it. This is a high‑impact, high‑ownership role focused on turning complex, Gen AI workflows into trustworthy software.

Requirements

4+ years of full‑time software engineering experience.
You’ve owned and shipped full‑stack software in production—from UI (bonus for React/TypeScript) through backend services (bonus for Python or Node.js)—and you understand the deployment pipeline in product environments where quality and speed both matter.
Comfortable designing API contracts (paging, errors, retries) and debugging end‑to-end with logs/traces.
Can reason about concurrency, consistency, and event‑driven architectures.
You care about accessibility, performance, and security hygiene in production.
CS degree (BS/MS) or equivalent foundation.

Nice To Haves

UI/UX design experience: can create wireframes, user flows, and lightweight interactive prototypes
Worked with sensitive data (life sciences, government) or regulated environments (HIPAA/PHI, SOC 2/ISO).
Experience instrumenting product metrics that connect UX to system behavior.
Streaming/real‑time patterns; virtualized data‑grids; compare/diff workflows.

Responsibilities

Own features across the stack. Take ideas from conception to production: UX flows → React/TypeScript UI → well‑scoped Python/TypeScript APIs/services → production rollout and measurement.
Build intuitive, data‑dense interfaces. Tables, complex forms, document views, comparisons for modern Gen AI workflows, while keeping these accessible and responsive.
Design and operate services. Create clear REST/gRPC/streaming endpoints, model data in SQL/NoSQl + vector stores, use queues/caches when it helps, and add tracing/metrics.
AI orchestration. Extend orchestration that reliably manages multi‑LLM workflows with the right controls for cost, latency, and security/auditability.
Ship quickly, iterate with users. Prototype, launch behind flags, collect feedback/telemetry, and refine.
Collaborate deeply. Partner with engineers across the stack to translate real needs into reliable software.
Be a force multiplier. Drive reviews and ADRs across frontend and backend and set patterns others can scale.