Senior Data Platform & Infra Engineer — Equity

Lumos AI Research; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation & equity

Direct exposure to frontier AI

Small, high-caliber team

Freedom to experiment

Shape engineering culture

Job summary

Lumos AI Research is seeking a Senior Software Engineer — Data Platform & Infrastructure to build a platform that powers creation, curation, evaluation, and delivery of high-quality data for frontier AI models.

You'll own end-to-end systems, coordinating domain experts, AI models, automated evaluation, and complex data workflows to enable scientists and clinicians to generate and validate training data reliably.

Qualifications

• : 5+ years of software engineering experience or equivalent evidence of exceptional engineering ability.
• : Strong proficiency in TypeScript and Python, with experience building sophisticated, production-grade applications.
• : Experience with modern frontend frameworks such as React or Next.js, and a strong understanding of frontend architecture and application state management.
• : Solid backend engineering experience, including APIs, relational databases, asynchronous processing, and distributed services.
• : Experience designing complex data models, workflow systems, and scalable application infrastructure.
• : Strong understanding of PostgreSQL, queues, background jobs, caching, and cloud infrastructure.
• : Ability to build thoughtful user experiences for technically complex products.
• : Strong product intuition and the ability to translate ambiguous requirements into elegant, maintainable solutions.
• : Demonstrated ability to independently architect, ship, and iterate on complex systems.

Responsibilities

• Build the data creation platform: Design and implement core product features that enable experts to create, annotate, review, validate, and refine complex training and evaluation datasets.
• Develop intelligent workflows: Build flexible, multi-stage pipelines combining human contributions, AI-generated content, automated evaluation, and expert review.
• Build AI-native interfaces: Develop tools that enable experts to collaborate effectively with AI models, including AI-assisted annotation, content generation, feedback, and validation.
• Engineer data infrastructure: Build robust systems for dataset storage, versioning, lineage, transformations, quality control, and delivery.
• Develop task orchestration: Implement assignment, routing, dependencies, review queues, quality gates, and workflow automation across distributed teams of experts.
• Build evaluation and quality systems: Integrate model-based judges, programmatic verifiers, consensus mechanisms, and quality metrics to ensure data reliability.
• Create exceptional product experiences: Build fast, intuitive interfaces for complex scientific and healthcare workflows, balancing flexibility with simplicity.
• Integrate frontier AI models: Develop infrastructure for model inference, structured generation, prompt execution, and automated feedback loops.
• Scale the platform: Improve performance, reliability, observability, and developer experience as data volume, workflow complexity, and expert participation grow.
• Own systems end to end: Drive technical decisions from product design and system architecture through implementation, deployment, and iteration.

Skills

TypeScript

Python

React/Next.js

PostgreSQL

APIs

Distributed systems

Data modeling

Cloud infrastructure

Job description

Lumos AI Research is seeking a Senior Software Engineer — Data Platform & Infrastructure to build a platform that powers creation, curation, evaluation, and delivery of high-quality data for frontier AI models.

You'll own end-to-end systems, coordinating domain experts, AI models, automated evaluation, and complex data workflows to enable scientists and clinicians to generate and validate training data reliably.