Red Cell Partners - Staff Software Engineer (Product + Platform Development)
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. • If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk! • Salary Range: $180,000-240,000. This represents the typical salary range for this position based on experience, skills, and other factors.
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.
Benefits
• Some travel to customers may be required. • For full-time roles only • Career track opportunity with potential for rapid advancement with strong performance as the firm grows • 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. • Paid maternity and paternity for 14 weeks at employees' normal pay. • Unlimited PTO, with management approval. • Opportunities for professional development and continued learning. • Optional 401K, FSA, and equity incentives available. • Mental health benefits are available through Tara Mind. • For full-time roles • Cost effective GLP-1 solutions available through Crux.
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