Staff Software Engineer (Product + Platform Development)

Red Cell Partners is an incubation firm building technology-led companies in healthcare, cyber, and national security, including Trase Systems, an enterprise AI platform. The Staff Software Engineer will split time between developing the core product and delivering AI-enabled solutions directly to customers, from discovery and prototyping through production deployment. The role also involves setting technical direction, making architecture decisions, integrating customer systems, and ensuring secure and reliable operations.

Responsibilities:

• Work directly with customers to understand their workflows, pain points, data environments, and operational constraints
• Contribute to both the core platform and customer-specific integrations: build reusable capabilities into the product, then adapt and deploy them in each customer's environment
• Build and deploy AI-enabled applications, agents, and workflow automation, applying AI/ML and LLM techniques such as RAG, guardrails, and evals to deliver reliable customer solutions
• Translate customer needs into technical requirements, implementation plans, and product feedback for the core engineering team
• Own delivery from prototype through production, including architecture, backend services, APIs, integrations, observability, testing, deployment, and customer acceptance
• Integrate with customer systems, data sources, identity providers, and cloud or on-prem infrastructure
• Partner with product, engineering, security, and customer teams to ensure solutions are secure, reliable, auditable, and operationally useful
• Debug issues in deployed environments and drive fast resolution across application, infrastructure, data, and integration layers
• Operate with strong judgment in environments involving sensitive data and business-critical workflows

Requirements:

• 8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems
• Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems
• Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow
• Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems
• Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows
• Ability to operate in ambiguous customer environments and turn unclear requirements into working software
• Strong technical communication skills with engineers, product teams, executives, and customer stakeholders
• High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements
• Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems
• Some travel to customers may be required
• Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer,, or founding/startup engineer
• Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices
• Familiarity with identity and access management, audit logging, data governance, and secure software delivery
• Experience building in environments with compliance, security, or operational constraints
• Comfort working in secure or regulated customer environments