AI developer openings in Seattle: Python, LLM, GenAI, full stack, and apprenticeships.
4 listings available
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Second Glean hub role — retrieval quality and agent tools for enterprise search.
Model deployment and monitoring for Einstein platform services — Seattle hub.
Automate model delivery pipelines for defense AI programs.
Scale model registry, deployment, and monitoring for enterprise ML workloads.
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.