Senior Applied AI Engineer, AI Platform

Headway

. Identify real bottlenecks by embedding with business functions and define success metrics such as turnaround time, escalation volume, error rate, and avoided headcount .

Posted 11/11/2026full-timeRemote • United StatesSenior💰 $182,750 - $278,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping end-to-end software products, particularly in LLM/agent-powered environments, while ensuring compliance with HIPAA regulations. Proficient in defining success metrics and optimizing production operations for performance and reliability.

Highest-signal resume keywords

End-To-End Product BuildingPython 3React 19FastAPIHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software ShippingLLM/Agent-Powered ProductsContainer ImagesSQLAlchemy 2.0PostgresRedisDynamoDBSnowflakeAgent FrameworksContext Management

Soft Skills

NegotiationOutcome OwnershipCollaboration

Tools & Technologies

AWSEKSEC2DatadogSentryPagerDutyGitHub ActionsClaude Agent SDKAnthropic APIBedrock

Industry Keywords

PHIHealthcareInternal Platform EngineeringDeveloper Tooling

Tech Stack

Tools & technologies

AWSDynamoDBEC2KafkaPostgresPythonReactRedisSnowflakeTypeScript

About the role

Key responsibilities & impact

Identify real bottlenecks by embedding with business functions and define success metrics such as turnaround time, escalation volume, error rate, and avoided headcount
Build end-to-end workflow products on Eddy, including skills, MCP integrations, subagents, scheduled and event-driven agents, and artifact applications
Ship rapid v1 releases to real users and harden them for dependable production use
Own production operations, including evals, tracing, cost, latency, and failure modes
Extract generalizable capabilities and land them in Eddy with tests and documentation
Determine when requests should be addressed through workarounds, configuration, process changes, or not at all
Design systems for PHI in a HIPAA environment
Collaborate directly with internal teams and colleagues as users
Build and improve Eddy's AI agent platform, including its chat product, agent loop, sandboxed runtime, integrations, artifact and app platform, workflow engine, eval harness, and safety/access-control model

Requirements

What you’ll need

5+ years shipping production software end to end
Experience building and shipping LLM/agent-powered products to real users
End-to-end product building across React, FastAPI, and container images
Experience with tool use, agent loops, evals, context management, and cost and latency at volume
Ability to work with internal platform or developer tooling users
Ability to define and negotiate scope, push back, renegotiate, and say no
Ability to identify platform primitives from function-specific builds
Comfort owning outcomes with no spec and no backlog
Ability to design for PHI and HIPAA environments
Python 3 and TypeScript
React 19, React Router 7, Tailwind, Radix, TanStack Query
FastAPI, SQLAlchemy 2.0, Alembic, Postgres, Redis, DynamoDB, Snowflake
Claude Agent SDK, Anthropic API, Bedrock, LangSmith
AWS, EKS, EC2, CodeDeploy, Temporal, Kafka, Cloudflare
Datadog, Sentry, PagerDuty, GitHub Actions
Forward deployed engineer, solutions engineer, internal platform engineer, or founder experience is a plus
Experience with agent frameworks or developer platforms is a plus
Healthcare experience is not required

Benefits

Comp & perks

Medical, dental, and vision insurance
HSA/FSA
401(k), including match for 2027
Carrot Fertility reimbursement
Paid parental, medical, and caregiver leave
Equity