We're seeking a Founding Software Engineer to build the core technical infrastructure for our multiomics AI platform. You'll architect systems that fuse complex biological data streams and leverage LLMs to generate actionable health insights. This is a high-ownership role where you'll shape both our technology and company from day one.

Key Responsibilities

Design and build data integration pipelines to fuse proteomics, genomics, and epigenomics data from multiple APIs
Implement LLM-based AI systems to synthesize multiomics data into actionable guidance
Build both backend systems and user-facing web applications for internal tools and partner integrations
Build secure, GDPR/HIPAA-compliant systems handling health data as well as APIs for partner data exchange
Make architectural decisions that balance speed of iteration with scalability
Help recruit, interview, and build out the engineering team
Establish engineering best practices and culture

Technical

Proven track record of designing and implementing production systems from scratch
Full-stack engineering capabilities - comfortable building everything from data pipelines to user interfaces
Strong proficiency in Python and modern web frameworks
Experience with frontend technologies (React preferred)
Hands-on experience with LLMs and AI systems in production
Experience building robust data pipelines and API integrations
Comfortable with cloud platforms (AWS/GCP/Azure) and infrastructure as code
Understanding of healthcare data privacy requirements

LLM & AI Experience

Hands-on experience deploying LLM-based systems in production environments
Deep understanding of prompt engineering, context management, and token optimization
Experience with LLM APIs (OpenAI, Anthropic, or similar) and managing rate limits, costs, and reliability
Knowledge of RAG (Retrieval-Augmented Generation) architectures and vector databases
Experience with LLM evaluation, testing, and quality assurance strategies
Understanding of LLM limitations and hallucination mitigation techniques
Familiarity with fine-tuning or working with domain-specific models
Experience building agentic systems and LLM chains for complex workflows

Mindset

Thrives in ambiguity and can make pragmatic technical decisions quickly
Builder mentality - gets excited about creating something from nothing
Strong communication skills to work with both technical and scientific stakeholders
Genuine interest in using technology to advance human health

Nice-to-Have

Experience with biological/scientific datasets
Advanced Degree in Computer Science, Computational Biology or Bioinformatics

Founding team equity with significant upside
Competitive salary
Remote-first, hybrid work arrangements
Direct impact on the future of precision health
Work closely with leading scientists and healthcare professionals

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