Red Cell Partners

Software Engineer

• Build the Platform From Scratch
• Partner with our founder to design and build Version 1 of the health intelligence platform. You'll make foundational technical decisions that shape the product for years to come.
• Architect the Health Intelligence Engine
• Build the backend infrastructure, APIs, and data models that power personalized health insights. Design systems that synthesize lab results, wearable data, symptoms, and medical history into actionable intelligence.
• Develop Data Integration Pipelines
• Create robust ETL pipelines to ingest data from diverse sources: lab providers (Quest, LabCorp), wearables (Oura, Apple Health, Whoop, Garmin), medical records, and user-entered data. Ensure data integrity, security, and HIPAA compliance.
• Build AI-Powered Features
• Implement the conversational AI health check-ins, treatment recommendation engine, and predictive models that surface insights and guide users through their health journey. Work with Claude and other AI tools to accelerate development.
• Own Security and Compliance
• Build with HIPAA compliance from day one. Implement encryption, access controls, audit logging, and security best practices for handling sensitive health data.
• Leverage AI-Native Development Tools
• Use Claude, Claude Code, Cursor, and other AI-assisted development tools to accelerate building. Embrace vibe coding and rapid prototyping to move quickly from concept to working product.
• Grow Into Leadership
• As we scale, mentor and guide additional engineers. Help establish engineering culture, practices, and standards. This role has a clear path to engineering leadership.

Founding Engineer, Architect – Stealth Healthcare Startup

Machine Learning Engineer

• Build Core Platform Features: Develop backend services, APIs, and user-facing features across the platform. You'll work on everything from symptom tracking to lab result visualization to treatment recommendations.
• Integrate Data Sources: Build integrations with wearables (Oura, Apple Health, Whoop, Garmin), lab providers, and other health data sources. Create pipelines that ingest, normalize, and store data reliably.
• Contribute to AI/ML Systems: Work alongside senior engineers to build and improve our health intelligence engine—including conversational AI, recommendation models, and pattern detection. Prior ML exposure is helpful; willingness to learn is essential.
• Ship Fast and Iterate: We're early stage. You'll ship code frequently, get feedback from real users, and iterate quickly. Comfort with ambiguity and a bias toward action are key.
• Build with AI-Native Tools: Use Claude, Claude Code, Cursor, and other AI-assisted development tools daily. We embrace vibe coding and expect you to leverage AI to move faster and learn faster.
• Learn the Healthcare Domain: You'll pick up health data concepts, compliance basics (HIPAA), and clinical terminology as you go. We'll support your learning—curiosity matters more than prior experience here.

Founding ML Engineer – Stealth Healthcare Startup

Full-stack Engineer

• Shape the product architecture end-to-end.
• Own the data foundation.
• Engineer for performance at scale.
• Drive technical direction through RFCs.
• Ship with product and design, not in a silo.
• Use AI as a force multiplier (responsibly).
• Hold the quality bar high.

Senior Full Stack Software Engineer

Engineer

• Develop the technical roadmap for RF components and systems, aligning with the company's product vision.
• Architect system-level solutions for plasma-enhanced antenna technology, focusing on performance, scalability, and reliability.
• Lead research and development efforts for RFICs, high-power amplifiers, and advanced antenna systems.
• Perform advanced modeling and simulation to optimize system performance.
• Lead the design and integration of RF modules and subsystems.
• Troubleshoot complex RF systems and identify solutions to challenging technical problems.
• Mentor junior engineers, fostering technical growth and excellence within the team.
• Interface with stakeholders and customers to understand their needs and translate them into technical requirements.
• Collaborate with cross-functional teams to ensure seamless system integration.
• Identify new applications and use cases for core technology.
• Evaluate complementary technologies and acquisition opportunities.
• Manage intellectual property strategy and patent portfolio.
• Foster innovation culture and technical excellence.
• Lead systems engineering that integrates electrical engineering and applied plasma physics end-to-end.
• Architect modular designs enabling upgrades and software-defined antenna behaviors; drive manufacturability with contract partners.
• Lead technical development for the company's primary and secondary products, from concept to prototype to qualification.
• Own rapid prototyping cycles: plan experiments, instrument tests, analyze results, and iterate. Build and run a lean lab environment that balances velocity with rigor.
• Drive compliance pathways and coordinate with test labs and government partners to qualify systems for operational use.
• Act as the senior technical interface to DoD/USG stakeholders and industry partners; communicate clearly and credibly with non-technical decision-makers.

Principal Radio Frequency Engineer

Technical Program Manager

• Drive Strategic Cross-Functional Planning: Work closely with product managers, engineering leads, and customer facing teams to develop integrated program plans, including roadmap, dependency identifications and resource plans. Drive the end-to-end lifecycle of complex technical programs from concept to launch, ensuring alignment across Engineering, Product, Design, and Customer Delivery teams.
• Operating Rhythm: Establish and lead regular program level meetings with product and engineering leadership to ensure projects are driven to successful outcomes.
• Operational Rigor: Establish and maintain lightweight, high-impact processes (Agile, Scrum, Kanban) that increase developer velocity and visibility without adding bureaucracy.
• Risk & Dependency Management: Proactively identify technical risks, bottlenecks, and cross-team dependencies, particularly for deployments in regulated industries; implementing mitigation strategies before issues impact the timeline.
• Release Management: Partner with DevOps and Engineering to streamline the release process, ensuring reliable and secure delivery of our AI platform and agentic applications to enterprise customers.
• Stakeholder Communication: Serve as the primary source of truth for program status; translating complex technical details into clear updates for executive leadership and non-technical stakeholders. Synthesize findings into clear, concise, customer-focused problem statements, recommendations, business cases, analysis, plans of action, and risk assessments.
• Continuous Improvement: Use data and metrics to analyze engineering performance and drive continuous improvement in our development culture and operations.

Principal Technical Program Manager

DevOps Engineer

• Design and maintain the pipelines that produce our Single-Tenant SaaS updates and our Self-Managed customer bundles.
• Ensure "Build Once, Deploy Anywhere" consistency across standard cloud and restricted GovCloud environments.
• Manage artifact lifecycle, including versioning, container registries, and software signing to meet federal security standards.
• Act as the primary technical point of contact for ISSM (Information System Security Manager) approvals for GovCloud deployments.
• Maintain the "Version Map"—tracking which customers are on which versions and managing the complexities of "version lag" for those who opt out of weekly updates.
• Coordinate across teams to validate bundles before they are shipped to customer-managed environments.
• Continually improve our release operations and processes through automation
• Develop and track metrics for release operations, recommend and develop solutions to improve alongside the engineering team.
• Lead "Go/No-Go" decisions, synthesizing input from QA, Support, and Product.
• Empower Customer Support and Sales Engineering by providing them with clear "Known Issues" lists and migration paths for each release, with the support of the engineering and product team for input.

Senior Release Engineer

• Orchestrate Cross-Functional Execution: Drive multidisciplinary teams through the full development lifecycle.
• Highly Complex Customer and Program Execution: Act as the key bridge between Andesite leadership and government and commercial customers.
• Champion Organizational Diplomacy: Navigate internal and external stakeholders with tact and influence.
• Build the Programmatic Foundation: Design and implement the frameworks for project planning, resource allocation, and progress tracking.
• Align Mission with Strategy: Balance immediate tactical requirements from customers with Andesite’s long-term product roadmap.

Security Engineer

• Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
• Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
• Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models, focusing on accuracy, scalability, and adaptability to dynamic enterprise requirements.
• Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance over time.
• Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.
• Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP, integrating cutting-edge practices and methodologies into our development pipeline.
• Mentor and Guide Team Members: Provide technical guidance to junior researchers, fostering a culture of continuous learning, experimentation, and research-driven development.

Senior ML Researcher, Applied Machine Learning – Security Clearance

Backend Engineer

• Contribute to the architecting, building, and optimizing our backend services and cloud infrastructure.
• Collaborate with cross-functional teams to gather requirements and architect solutions that align with business objectives.
• Mentor and guide junior engineers, fostering a culture of collaboration, learning, and growth within the team.
• Develop and maintain GRPC and RESTful APIs and services to enable seamless integration with various applications and third-party platforms.
• Integrate 3rd party APIs to enhance the functionality and capabilities of our applications.
• Ensure the security and scalability of backend systems, implementing best practices for data protection and access control.
• Monitor and troubleshoot production systems, proactively identifying and resolving potential issues.
• Stay up-to-date with the latest developments in cloud technologies and leverage them to enhance our infrastructure and services.
• Conduct code reviews and provide constructive feedback to maintain code quality and adherence to coding standards.
• Communicate technical concepts and project updates effectively to both technical and non-technical stakeholders.