Build end-to-end features across frontend, APIs, backend, data models, and infra.
Own human-in-the-loop AI data training and evaluation workflows.
Design RLHF-style pipelines and data workflows for quality datasets.
LLM-assisted review tooling with human oversight.
Develop evaluation frameworks for LLMs and AI agents across modalities.
Create reviewer-focused UI and scalable backend/data services.

🎯 Requirements

Bachelor's degree in CS, Data Eng, or related field.
2+ years in software or ML engineering.
Proactive, product-focused mindset with ownership.
Frontend: React/Redux, TS; Backend: Node.js, Python; GraphQL; Java/Kotlin a plus.
Databases: PostgreSQL/MySQL/Spanner; NoSQL: MongoDB/Cassandra; cloud-native.
Cloud: GCP; Kubernetes; Kafka/PubSub; strong communication and clean code.

🎁 Benefits

Annual base salary: $130k–$200k USD.
Hybrid work model: 2 days/week in office.
Location: SF Bay Area; hybrid.

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