Staff Applied AI Engineer (Forward Deployed)

Concurrence is hiring a Staff Applied AI Engineer (Forward Deployed) in San Francisco to deliver complex applied AI customer use cases end to end, with strong technical ownership across deployments.

Responsibilities

• Own the most complex customer use cases from deployment brief through production and ongoing iteration.
• Lead build execution from initial requirements to production outcomes and beyond.
• Set technical direction within and across deployments; resolve tradeoffs with the platform team.
• Commit to timelines and stay hands-on in the hardest parts of the build.
• Build agent systems designed to hold up in clinical settings.
• Use agent hierarchies and skills (avoid a single monolith) and implement evals that measure distributions rather than relying on subjective quality checks.
• Ensure nothing reaches a patient until it clears the safety floor and eval gate.
• Handle integration reality: EHRs, legacy systems, and customer data arriving in many formats.
• Make architecture decisions inside and across shared systems, committing to timelines and carrying through outcomes.
• Make the system compound by turning field-proven patterns into first-class platform capabilities.
• Push proven work down from agent reasoning into deterministic data lookups, consolidating workflows (for example, reducing many tool calls into one).
• Push back early when specifications were not vetted, integrations are not supported, or scope changes mid-build.
• Raise the team by mentoring engineers across deployments and helping define architecture and engineering standards.
• Write documentation detailed enough for a coding agent or new hire to pick up the work.

Requirements

• Shipped and owned complex production systems end to end with real users depending on them.
• Set technical direction across multiple projects or teams and supported sound architecture decisions for other engineers.
• Hands-on experience building with LLMs and agents in production, or the engineering depth to reach that capability quickly.
• Approach non-deterministic systems with rigor.
• Balance near-term and long-term tradeoffs: understand what decisions cost now and how they affect future team execution.
• Comfort working closely with customers and clinicians, prioritizing workflow understanding over waiting for perfect specs.
• High craft standards: systems fail loudly during development and remain reliable beyond active engineering time.
• Push back on rules that do not make sense and question assumptions that have not earned their place.

Technologies

• Databricks
• LLMs
• Agents
• Epic
• Oracle Health
• athenahealth
• HL7
• FHIR

Benefits

• Comprehensive health, dental, and vision insurance
• Daily catered lunch and dinner
• Mental health support and wellness coaching
• Flexible wellness stipend for fitness, therapy, or personal growth
• Annual learning budget for courses, books, or conferences
• Conference attendance budget for professional development
• Annual team offsite
• Academic collaboration opportunities
• Unlimited PTO

Nice to Have

• Healthcare experience, including EHR integrations (Epic, Oracle Health, athenahealth), HL7, FHIR, or clinical workflows.
• Experience with Databricks, voice agents, or forward deployed/customer engineering.
• Time at an early-stage startup.

Core Values

• Patients Win, We Win
• High Standards, High Care
• Thoughtful Urgency
• Intensely Measured

How You Will Work With the Team

• Low ego
• Direct
• High agency
• Bar of excellence
• Skeptical

Location: San Francisco, CA (onsite)

Salary: USD 240,000 - 300,000 per year