Staff Applied AI Engineer (Forward Deployed)

Concurrence

San Francisco (CA)

On-site

USD 240,000 - 300,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive health, dental, and full
Daily catered lunch and dinner
Learning budget for courses and books
Conference attendance budget
Unlimited PTO

Job summary

Concurrence is seeking a Staff Applied AI Engineer to lead high-stakes clinical AI deployments end to end and build durable agent systems for real-world care workflows.

You will own the most complex customer use cases, run builds from brief to production, and set technical direction across deployments while staying hands-on in the hardest areas. Collaboration with clinicians and engineers is essential.

Qualifications

  • Shipped complex production systems with real users dependent on them.
  • Set technical direction across multiple projects or teams.
  • Hands-on with LLMs and agent-based production deployments.
  • Rigorous handling of non-deterministic systems and tradeoffs.
  • Comfortable with customers and clinicians to understand workflows.

Responsibilities

  • Own the most complex customer use cases end to end.
  • Run builds from deployment brief to production and beyond.
  • Set technical direction across deployments and timelines.
  • Mentor engineers and help set architecture standards.
  • Write clear documentation for teams and new hires.

Skills

End-to-end ownership
Architectural leadership
Production systems
LLMs and agents
Customer/clinician engagement

Tools

Databricks
Epic
Oracle Health
athenahealth
HL7
FHIR

Job description

Concurrence is hiring a Staff Applied AI Engineer (Forward Deployed) to lead high-stakes clinical AI deployments end to end and build durable agent systems for real-world care workflows.

Responsibilities
  • Own the most complex customer use cases end to end.
  • Run builds from deployment brief to production and beyond.
  • Set technical direction within and across deployments, including platform tradeoffs and commitment to timelines.
  • Stay hands-on in the hardest build areas.
  • Build agent systems that hold up in clinical settings.
  • Design with hierarchies of agents and skills rather than a single monolith.
  • Use evaluations that measure distributions, not vibes.
  • Ensure nothing reaches a patient until it clears the safety floor and eval gate.
  • Address integration reality across EHRs, legacy systems, and customer data in every shape.
  • Make architecture calls inside and across shared systems, commit the timeline, and carry the outcome.
  • Make capabilities compound by turning field-proven patterns into first-class platform capabilities.
  • Push proven work down from agent reasoning into deterministic data lookups, reducing many tool calls into one.
  • Push back early when specs are not vetted, integrations are unsupported, or scope changes mid-build.
  • Mentor engineers across deployments and help set team architecture and engineering standards.
  • Write documentation clear enough for a coding agent or a new hire to pick up the work.
Requirements
  • Have shipped and owned complex production systems end to end, with real users depending on them.
  • Have set technical direction across multiple projects or teams and helped other engineers make sound architecture decisions.
  • Have real experience building with LLMs and agents in production, or the engineering depth to reach it quickly.
  • Treat non-deterministic systems with rigor.
  • Hold near-term and long-term tradeoffs: what a decision costs now and what it enables later for the team.
  • Comfortable in the room with customers and clinicians; prefer understanding workflow over waiting for a perfect spec.
  • Care about craft: systems fail loudly during development, and remain reliable during off-hours.
  • Set technical direction across multiple projects or teams, helping engineers make sound architecture decisions.
  • 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 or customer engineering
  • Time at an early-stage startup
Core Values
  • Patients Win, We Win
  • High Standards, High Care
  • Thoughtful Urgency
  • Intensely Measured
Who Builds With Us
  • Low ego
  • Direct
  • High agency
  • Bar of excellence
  • Skeptical

Location: San Francisco, CA (onsite)

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

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