# Full-Stack AI Engineer

**Company:** [Komodo Health](https://hotfix.jobs/companies/komodo-health)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $156k – $270k/yr
**Experience:** 5+ years
**Skills:** Python, LLMs, Prompt Engineering, Agent-Based Architectures, vLLM, Crewai, Strands, OpenAI API, Evaluation Frameworks, Monitoring Systems
**Posted:** 2026-06-16

> Design and deploy end-to-end AI systems powering real products. Own the full intelligence stack including retrieval, agent orchestration, evals, and governance. Requires Python, LLM experience, and production AI system building.

## Job Description

## What You'll Own
- Designing, building, and deploying end-to-end AI systems across the full intelligence stack — from data context and retrieval to agent orchestration, evals, versioning, and governance.
- Developing agent pipelines, prompt chains, and orchestration frameworks for LLM-driven workflows.
- Selecting the right AI technique (LLMs, classic ML, or hybrid approaches) for the problem at hand.
- Collaborating with PMs, engineers, and data scientists to define requirements and deliver solutions.
- Building scalable AI services with monitoring, evaluation, and deployment pipelines.
- Contributing reusable patterns to Komodo's AI infrastructure and internal tooling ecosystem.

## Requirements
- Experience building production-grade AI systems or AI-powered applications.
- Strong proficiency in Python.
- Experience working with LLMs, prompt engineering, or agent-based architectures.
- Familiarity with modern GenAI tooling and frameworks: vLLM, CrewAI, Strands, OpenAI / Chat Completions APIs.
- Ability to integrate AI capabilities across backend services and product interfaces.
- Experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features.
- Strong collaboration skills across engineering, product, and data teams.

## Nice to Have
- Healthcare data expertise.
- Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.

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**Apply:** https://hotfix.jobs/jobs/2b63c34a-3866-4c9d-a20d-a339664ae05f
**Canonical:** https://hotfix.jobs/jobs/2b63c34a-3866-4c9d-a20d-a339664ae05f