Imagine yourself...
Doing meaningful work that makes an everyday impact on the world around you.
Owning your ambition and fueling your career growth.
Collaborating with a vibrant, diverse, global team.
TraceGains, a Veralto company, connects people and information so teams can work smarter. As a global technology company, we provide networked innovation, quality, and compliance solutions to consumer brands that want to reduce supply chain risk, speed up business processes, and take control of data.
At TraceGains, we believe “we’re in this together,” and our goal is to provide the most innovative solutions in the industry. With the help of our ever-growing TraceGains Network, we created the CPG industry’s first networked ingredients marketplace. Innovation and ingenuity start with a diverse workforce and an inclusive workplace, and we encourage people from all backgrounds to apply.
Reporting to the Head of AI, the Staff AI Engineer will lead the architecture, development, and operation of production AI systems while advancing how engineering teams build software with AI. This hands-on technical leadership role will turn ambiguous business needs into reliable product capabilities, establish practical standards for agentic development, and influence technical direction across teams. The position is remote within the Americas.
In this role, a typical day will look like:
Shape the AI roadmap with product and engineering leaders, make architectural decisions, resolve cross-team dependencies, and connect technical choices to measurable business value.
Lead hands-on development of agents, tool integrations, retrieval systems, and AI-enabled workflows connected to enterprise APIs and data, from discovery and prototyping through deployment, monitoring, and improvement.
Design evaluation datasets, baselines, and controlled experiments that measure quality, reliability, latency, cost, and user outcomes, then use the evidence to decide what to scale, revise, or stop.
Establish repeatable agentic software development practices, shared tooling, reference architectures, and deployment patterns for evaluation, versioning, observability, staged releases, rollback, security, privacy, and incident response.
Mentor engineers through design and code reviews, documentation, and training on AI-assisted development, generated-code validation, test coverage, maintainability, and responsible human oversight.
Partner with engineering, legal, compliance, and security leaders to manage AI economics, translate relevant regulations and standards into engineering practices, and implement responsible AI controls and audit evidence.
The essential requirements of the job include:
Substantial experience delivering production software, including technical leadership across teams and ownership of complex initiatives from architecture through ongoing operation.
Hands-on experience building and operating LLM-based and agentic systems, including tool use, orchestration, retrieval, evaluation, and agentic harnesses.
Strong software engineering expertise in API and system design, data modeling, automated testing, code review, CI/CD, observability, and secure development, with production proficiency in Python or C#.
Experience deploying cloud services and integrating enterprise APIs and data while managing reliability, security, performance, and operating cost.
Bachelor’s degree in a relevant technical field or equivalent practical experience, plus the ability to travel occasionally for department meetings, company events, seminars, or networking events.
It would be a plus if you also possess:
Experience delivering AI-enabled enterprise SaaS products, particularly on Microsoft Azure.
Experience creating shared AI platforms, evaluation infrastructure, or internal developer tooling used by multiple teams.
Familiarity with enterprise data governance and compliance requirements; food, beverage, or supplements industry experience is a plus.
Why you’ll want to join…