Afresh
Senior AI Platform Engineer
San Francisco, CA · Senior · Full-time
Sponsorship not specified$156k-$231kDetected 7 days ago
PythonGitDatabricksVector DatabasesPlatform EngineeringAPI DevelopmentRESTMachine LearningSparkAirflowdbtLLMsRAGAgentic AIMLOpsLangGraphA/B TestingUnityAR/VRResearch
About the role
- You'll make foundational choices about how we represent grocery knowledge, ground our models, and measure whether any of it is actually working - in a fast-moving space with no playbook.
Responsibilities
- Build the knowledge & retrieval layer
- Design and operate the knowledge graph and ontology that capture how grocery data relates.
- Build the retrieval systems (vector, graph, and structured) that feed the right context to our models - so grounding is reliable, not lucky.
- Build and serve the agent platform
- Build LLM-powered agents (tool-use, multi-step reasoning, orchestration) and the serving infrastructure to run them reliably and cost-effectively.
- Build the tools, abstractions, and interfaces other engineers depend on - a platform, not one-off features.
- Own evaluation, quality, and the data foundation
- Build the pipelines, data products, and experimentation on Databricks/MLflow that take work from prototype to production - and partner with the engineers deploying our AI in the field to harden what works into reusable capabilities.
- 3+ years building production software, data, or ML systems
- an excellent engineer with strong systems and API design (Python).
Requirements
- Hands-on production experience with LLM systems: retrieval/RAG, agents and tool-use, prompt and context engineering - and, critically, evaluation.
Nice to have
- Knowledge graphs, ontologies, or semantic layers in production
- graph databases.
- MCP or similar tool/context protocols
- agent frameworks (e.g., LangGraph).
- MLOps and model serving at scale
- experimentation and observability tooling for LLM systems.
- Experience in grocery, retail, or other complex enterprise data domains.
- Python, PySpark, dbt
Compensation
- Salary Range in U.S.: $156,060 - $231,140 + meaningful early-stage equity + benefits
Benefits
- Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh.
- We also provide dedicated mental health support and counseling services.
- Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
- Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access.
- Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.
- Full-time U.S. employees are eligible for these benefits
Company info
- We believe in continuous learning.
- Every employee receives an annual professional development budget to master new skills and grow their career at Afresh.
- Be part of an engineering culture that's genuinely AI-forward - we want to be on the bleeding edge of agentic systems, not watching from the sidelines.
Visa & Work Authorization
- This position is not eligible for company sponsorship.
This listing is sourced directly from Afresh's careers page and normalized into a canonical job model.