Job Opportunities API

About Us Co-founded in 2023 by Joe Laws and Grant Verstandig , Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.   About the Role We are hiring a Staff Software Engineer who will split their time between building our core product and delivering it directly to customers. This role sits at the intersection of software engineering, product development, customer delivery, and operational execution. You will embed with customer teams to understand their workflows and highest-value use cases, then build production-ready systems that solve real problems. Just as importantly, you will feed what you learn in the field back into the core product, shaping platform capabilities, reusable patterns, and roadmap so that each deployment makes the next one faster. You will move quickly from discovery to prototype to deployment while maintaining the engineering discipline required for secure and regulated environments. This is a hands-on, senior engineering role. As a Staff engineer, you will set technical direction, make key architecture decisions, and raise the bar for how we build, while still writing code, debugging systems, and working through messy customer environments yourself. You should be comfortable translating vague requirements into concrete technical plans and communicating clearly with both engineers and non-technical stakeholders. What You’ll Do 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 service