Senior AI Engineer, Agentforce Operations

What you'll do

• Build AI platform features and agents, including planning, orchestration, and evaluation systems for multi-step workflows.
• Make architectural decisions and establish practices for AI safety, model evaluation, observability, reliability, and cost management.
• Set technical strategy and roadmaps, mitigate operational risks, and mentor engineers across the team.

What they ask for

• B.S. in Computer Science or equivalent with coursework in Artificial Intelligence; M.S. is a plus.
• 4+ years of industry experience in Software Engineering, with a focus in AI/ML.
• Strong proficiency in multiple programming languages, such as Python, Go, Java, or C++.
• Experience with production-grade distributed systems and LLM orchestration frameworks; deep expertise in model evaluation.

Nice to have

• Experience in regulated industries, public sector, or classified/limited-connectivity environments, including Department of Defense Impact Levels such as IL6.
• Experience with Docker, Kubernetes, cloud-native deployment, observability, or AI products for supply chain and operational workflows.

Pay

$148,500 - $223,900 annually (base salary); $178,900 - $246,000 annually (base salary)

Tools

Python, Go, Java, C++, Docker, Kubernetes

AI focus

Builds and operates AI agents and platform systems for mission-critical public-sector workflows, with emphasis on model evaluation, orchestration, safety, reliability, and deployment constraints.