Senior Software Engineer - Agentic AI

Supio • Seattle, WA

75d • $185,000 - $251,000

About The Position

We are looking for a hands-on builder who is comfortable owning problems end-to-end in a fast, early-stage environment. The ideal candidate will have deep experience with LLMs, agent architectures, and turning research into reliable products. A strong product sense is essential, as you will be translating messy legal and medical workflows into usable, trustworthy automation. You should have high ownership and a bias to action, thriving with autonomy and ambiguity. Being customer-obsessed and rapidly learning new domains while iterating based on impact is crucial.

Requirements

• Proven track record in building and deploying production ML/LLM systems (agent frameworks, tool use, orchestration).
• Strong with Python and modern ML tooling (vector stores, embeddings/RAG, evaluation, tracing); solid software engineering fundamentals.
• Experience processing unstructured documents at scale (pipelines, OCR, normalization, metadata).
• Cloud/MLOps experience (AWS/GCP/Azure, containers, CI/CD, observability).
• Excellent judgment, communication, and bias-for-evidence; write clear, discoverable notes and docs.

Nice To Haves

• Legal/healthcare data exposure.
• Safety/ethics/governance for AI.
• Startup experience.

Responsibilities

• Design and ship autonomous agentic systems that plan, reason, and execute multi-step workflows.
• Build at scale: ingest and structure millions of unstructured documents (medical records, insurance files, legal PDFs).
• Fine-tune and deploy language models for extraction, entity linking, retrieval, and predictive analytics.
• Own the stack-from modeling and tool orchestration to production deployment, monitoring, and iteration.
• Define evaluation/measurement frameworks; improve quality with experiments and data analysis.
• Partner with legal/clinical experts and engineering to deliver measurable business outcomes.

What This Job Offers

• Industry: Publishing Industries
• Number of Employees: 11-50 employees