Staff Software Engineer (Product + Platform Development)

Red Cell Partners is an incubation firm focused on building and investing in technology-led companies. They are seeking a Staff Software Engineer to work on product and platform development, engaging with customers to understand their needs and delivering AI-enabled solutions.

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
• 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