Healthcare Ai

Healthcare Ai Developer Jobs

3 jobs found

Today

Senior Software Engineer, AI Platform

Color San Francisco, CA

San Francisco, CA

Today

$175k - $230k/yr Full time Backend Developer Senior Ai Platform

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Job Description

Color’s AI Platform Team is seeking a Senior Software Engineer to build full-stack AI products and the platform capabilities that power them across Color. The focus is on reliable LLM-powered systems, evaluation, safety, observability, and privacy- and security-conscious healthcare solutions delivered onsite in San Francisco.

Role Overview

In this position, you will own and develop features across the full stack, from user experience through backend services, AI orchestration, data access, and production deployment. You will also explore emerging AI capabilities that can improve cancer care and help shape how Color turns prototypes into shipped, durable experiences.

Responsibilities

Build full-stack AI applications for Color’s care teams and patients, taking features from user experience through backend services, AI orchestration, data access, and production deployment.
Identify where emerging AI capabilities can improve cancer care, moving quickly from ideas to prototypes and shipped experiences.
Experiment with new AI models, tools, and techniques by rapidly prototyping and iterating toward production systems.
Develop reliable LLM-powered systems, including retrieval and knowledge systems, citations and grounding, prompt management, structured outputs, tool use, agentic workflows, and evaluation.
Create evaluation, observability, and safety practices to understand AI quality, compare approaches, detect regressions, and evolve successful experiments into durable products.
Design privacy- and security-conscious systems suitable for sensitive healthcare data and clinical workflows.
Work closely with product, design, clinical, and engineering teams to understand needs, prototype solutions, learn from users, and ship improvements.
Increase Color’s AI fluency by sharing experiments, emerging techniques, lessons learned, and strong patterns for building with AI.
Mentor others and raise the technical and product quality bar.

Requirements

5+ years of experience building and shipping production software, with strong full-stack skills across React/TypeScript, Python, APIs, data integrations, and cloud infrastructure.
Hands-on experience building production AI products with modern LLMs, including RAG, structured outputs, tool calling, agentic workflows, prompt engineering, and model evaluation.
Ability to turn complex, heterogeneous data into product experiences and to move systems from prototype through production with testing, monitoring, and iteration.
Strong product judgment and the ability to balance speed, technical quality, reliability, and user impact in ambiguous, rapidly changing environments.
A bias toward tinkering and rapid experimentation, including starting small, prototyping quickly, measuring results, and recognizing when new capabilities enable larger improvements.
An informed perspective on how AI changes software engineering and product development, including regular experimentation with new models, frameworks, coding tools, agent architectures, and interaction patterns, plus clear communication of findings.

Technologies

React, TypeScript, Python, APIs, RAG, cloud infrastructure

Compensation and Location

Location: San Francisco, CA (onsite)
Salary: USD 175,000 - 230,000 per yearly

Benefits

Competitive salary
Comprehensive medical, dental, vision, life, and disability benefits
401k match
Monthly phone and wifi stipend for employees, annual ergonomic stipend
Generous vacation policy, paid holidays and company-wide recharge days
Equal paid parental leave for birthing and non-birthing parents
Free cancer screening and prevention resources for employees and their adult dependents

Possible Projects

Healthbook: Build and evolve an internal AI application to help care and clinical teams understand patients’ longitudinal health histories, synthesize records, answer grounded questions with citations, and draft documents using an AI agent.
AI Platform: Build shared capabilities that help teams across Color develop reliable AI applications quickly, including knowledge bases and retrieval, citations and grounding, prompt management, evaluation, observability, and reusable agentic patterns.
What’s next: Explore the next generation of patient-facing AI experiences and convert learnings into platform capabilities that enable teams across Color to build with AI.

Nice to Have

Experience building AI platforms or shared infrastructure that helped multiple teams ship AI applications.
Experience developing healthcare technology involving sensitive clinical data.

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1d ago

Senior Software Engineer, AI Engineer

Midi Health San Francisco, CA

San Francisco, CA

1d ago

$170k - $210k/yr Full time Senior Agentic Ai Ai Agent

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Job Description

Midi Health is hiring a Senior Software Engineer, AI Engineer to design, build, and deliver LLM-powered capabilities end-to-end, with a focus on evaluation, safety, and AI-native engineering.

Responsibilities

Design, build, and ship LLM-powered features end-to-end, including prompt design, retrieval, tool use, agents, evaluation, and production operations
Create evaluation harnesses and feedback loops to support responsible AI releases
Integrate AI capabilities deeply into patient, clinician, and operational workflows
Work with clinical, product, and safety stakeholders to define what success and quality look like
Contribute to internal AI-for-engineering practices and engineering tooling
Stay engaged with research and the AI ecosystem, bringing practical improvements back to the team

Requirements

6+ years of software engineering experience, including meaningful recent work building production LLM/ML features
Strong hands-on coding in Python; able to move across the stack when the feature requires it
Experience designing AI systems across retrieval, orchestration, caching, evaluation, plus managing cost and latency tradeoffs
Deep, hands-on command of modern AI coding tools; ability to adopt new techniques quickly
Mentorship instincts; comfortable sharing what you learn
Commitment to evaluation and safety; preference for evidence over “vibes-only” releases
Clear communicator who can explain model behavior to non-technical stakeholders
Low-ego, curious, and humble working style

Technologies

Python
LLM
ML
Claude Code
Cursor
Copilot

Location and Employment

San Francisco, CA (hybrid)
Hybrid by design: two days per week in-office on Tuesday and Thursday in Palo Alto or San Francisco
Full-time W2

Compensation

USD 170,000 - 210,000 per year

Nice to Have

Experience with healthcare, clinical NLP, or regulated AI deployments
Experience building agentic systems or production RAG at scale

Interview Process

Recruiter Screen (30 min)
Hiring Manager Screen (45 min)
Live Technical Assessment (3 sessions, 150 min total)
On-Site Interview and Lunch (4 sessions, 150 min total)

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3d ago

Senior Software Engineer - ai automation medical billing platform

Relentless Talent Buffalo, NY

Buffalo, NY

3d ago

$130k - $160k/yr Full time Backend Developer Python APIs

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Job Description

Relentless Talent is hiring a Senior Software Engineer for a hybrid role in Buffalo, NY (with occasional travel). You’ll work on a Medical Billing Automation SaaS platform, enhancing backend systems that connect Python, AI/LLMs, and EDI to automate complex billing workflows. The role reports directly to the CTO, with opportunities for direct interaction with the Founder/CEO.

What you’ll get

Salary: $130,000 - $160,000 per year
Hybrid location: Buffalo, NY (hybrid), with a few days per quarter at most
401(k)
Health insurance
Dental insurance
Vision insurance

Responsibilities

Lead development of backend systems in Python, supporting robust integration with AI models, LLMs, and EDI to automate complex billing tasks
Design and implement scalable microservices architectures using AWS or Azure for high-volume data processing
Collaborate with cross-functional teams to build RESTful APIs and web services that enable communication between internal components and external systems
Build user-facing experiences using React, Angular, or similar front-end frameworks to support billing workflow usability
Apply system design and data modeling to create efficient database schemas in SQL Server, PostgreSQL, or MySQL, and support MongoDB when appropriate
Implement rigorous testing and debugging practices (including unit and integration testing) aligned with SDLC standards
Participate in Agile execution using Scrum or Kanban, including sprint planning and stand-ups

Requirements

Extensive experience with Python for backend development and AI integration
Strong knowledge of AI technologies, including Large Language Models (LLMs), for automation use cases
Proficiency with EDI standards and protocols for healthcare data exchange
Expert Python capability for ETL/ELT and automation, including pandas, pydantic, and SQLAlchemy
Production experience with a workflow orchestration platform such as Prefect, Airflow, or Dagster
Strong SQL skills across SQL Server and PostgreSQL, plus familiarity with cloud data warehouses such as Snowflake and transformation tooling like dbt
Disciplined delivery practices, including pytest (or equivalent), GitHub Actions (or similar CI), Docker, and Git-based code review
Working knowledge of cloud infrastructure and services, with Azure preferred
Effective, verified use of AI-assisted development tools as part of daily engineering practice

Notes on travel and support

This is a hybrid role with remote work and occasional travel. The company indicated occasional travel to the come in East Dallas, with a few days per quarter at most. No work sponsorship or relocation assistance is offered for this role.

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