AI developer openings in Seattle: Python, LLM, GenAI, full stack, and apprenticeships.
6 listings available
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ServiceNow MLOps engineer for model CI/CD and GPU serving — Bellevue / Seattle hybrid enterprise AI platform.
Dropbox LLM engineer for AI writing and file copilots — Seattle hybrid with TypeScript + Python stack.
DoorDash GenAI for merchant menus, support, and ops copilots — Seattle hybrid LLM engineering.
Uber GenAI engineer building rider and driver support agents with RAG, tool use, and eval harnesses — Seattle hybrid.
Deep learning software engineer jobs building efficient training stacks and model serving for health and science teams — matches deep learning software engineer jobs queries with Seattle hybrid work.
Apprenticeship on batch and streaming pipelines, data quality checks, and MLflow experiment tracking.
The AI developer market in Seattle (Washington) stays competitive: LLM, RAG, agents, MLOps, and GenAI in product. Employers want Python, Java, or full-stack profiles who ship to production—not just prototypes.
On Ganloss, listings focus on the AI ecosystem: scale-ups, consultancies, finance, and enterprise transformation. Posted salary ranges help you compare before applying.
Common stack: Python, PyTorch or TensorFlow, LLM APIs (OpenAI, Anthropic), LangChain/LlamaIndex, Docker/Kubernetes, SQL, and cloud (AWS, GCP). Enterprise GenAI also hires full-stack Java/Angular profiles.
Recruiters value production skills (tests, observability, latency), product collaboration, and agile delivery. Apprenticeships and internships remain strong entry paths.
Create your Ganloss profile, turn on email alerts, and target posts with salary shown. Bring a portfolio (GitHub, RAG/agent projects) and tune your résumé for LLM, MLOps, Python, GenAI.