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.
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.
- 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.
Some travel to customers may be required.
Our Trase Benefits:
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.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Applicant Data Disclosure
By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:
- Managing and administering your application throughout the hiring process;
- Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
- Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.
Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.
Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.
For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.
Skills Required
- 8+ years of software engineering experience
- Ability to apply AI and ML techniques including LLM-based approaches
- Experience with Retrieval-Augmented Generation (RAG), guardrails, and evals
- Scalable system design experience
- Experience with backend engineering
- Experience with distributed systems
- Experience designing and using APIs
- Experience with data pipelines
- Experience with cloud infrastructure or applied AI/ML systems
- Comfort working across the full stack when needed (backend, frontend, infrastructure, integrations)
- Ability to operate in ambiguous customer environments and convert unclear requirements into working software
- Strong technical communication skills with engineers, product teams, executives, and customers
- High ownership, bias for action, and ability to drive outcomes
- Strong debugging instincts across application, infrastructure, data, networking, and integrations
- Prior experience as forward deployed, solutions, product, platform, or founding/startup engineer
- Experience with AI agents, LLM applications, workflow orchestration, retrieval systems, or model deployment
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience with Kubernetes, Terraform, Docker, CI/CD, and observability
- Familiarity with identity and access management, audit logging, and data governance
- Experience building in compliance, security, or regulated environments
- Comfort working in secure or regulated customer environments
What We Do
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.
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