AI Software Developer
Xogene
AWSAzureCloudDjangoDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesNode.jsPostgresPython+3 more
Staff Software Engineer, AI
Komodo Health
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $259,000 - $298,000 per year
Job Level
Lead
Tech Stack
DjangoFlaskPythonReactVue.js
About the role
- Define and evolve Komodo’s strategic AI capabilities in alignment with business goals and healthcare product needs.
- Design end-to-end AI solutions, from prototyping through production, emphasizing scalability, reliability, and ethical safeguards.
- Partner across engineering, product, and operations to identify opportunities where AI-native approaches create outsized leverage.
- Drive experimentation with emerging AI toolchains (e.g., Gemini, GPT, Claude, open-source agents) and guide adoption.
- Shape reference architectures and reusable frameworks that accelerate product teams and ensure quality across Komodo’s AI ecosystem.
- Lead cross-functional knowledge sharing through playbooks, workshops, and technical mentorship.
- Ensure robust observability, governance, and explainability mechanisms for AI features deployed at scale.
- Deliver high-impact AI systems that scale from prototype to production and create measurable business and healthcare outcomes.
- Act as a multiplier by mentoring engineers, leading workshops, and unblocking complex AI design challenges.
- Drive build-vs-buy evaluations for core AI platforms and influence Komodo’s data strategy with an AI-first lens.
Requirements
- Proven track record of delivering AI systems that transition from research prototypes into scalable, production-ready products.
- Strong technical leadership in generative AI, LLMs, orchestration frameworks, multi-agent systems, and responsible AI practices.
- Fluency in Python and experience with modern GenAI toolchains (e.g., vLLM, Crew AI, Strands, LangChain, Chat Completions API).
- Full-stack engineering proficiency (front-end frameworks like React/Vue; back-end systems like FastAPI, Django, or Flask) with an ability to ship complete AI-powered features.
- Experience setting company-wide standards in AI development, governance, and MLOps (CI/CD for AI, versioning, monitoring).
- Excellent collaboration and communication skills to influence both technical and non-technical stakeholders.
- Degree in Computer Science, Machine Learning, or equivalent professional experience with demonstrable impact.
- Expectation to automate own workflows and drive adoption of internal AI agent platforms.
- Expectation to mentor others on prompt engineering, orchestration, and ethical AI practices.
- Expectation to ensure explainability, governance, and bias mitigation are embedded into every solution.
Benefits
- This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan.
- This role may also be eligible for equity awards.
- Comprehensive health, dental, and vision insurance.
- Flexible time off and holidays.
- 401(k) with company match.
- Disability insurance and life insurance.
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy.
- Positions may be eligible for company benefits in accordance with Company policy.
- Supplemental benefits including prepaid legal assistance.
- Paid time off for vacation, sickness, holiday, and bereavement.
- 100% company-paid life insurance and long-term disability insurance.
- Hybrid work model with remote work options and flexibility to be remote based in specified regions or local to hubs.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systemsgenerative AILLMsorchestration frameworksmulti-agent systemsPythonfull-stack engineeringMLOpsCI/CD for AIprompt engineering
Soft skills
technical leadershipcollaborationcommunicationmentorshipinfluenceknowledge sharingproblem-solvingworkshop facilitationcross-functional teamworkautomation
