Note: The job is a remote job and is open to candidates in USA. TaskRay is a leader in post-sale work management in the Salesforce ecosystem, focused on enhancing customer experiences. The Staff AI Engineer will lead the technical design of TaskRay's AI platform, overseeing architecture, engineering standards, and engagement with design partner customers to build innovative AI solutions.
Responsibilities
- Own the architecture of TaskRay's off-platform AI tier, including the contracts that connect it to our Salesforce-native core
- Make and defend build versus buy decisions across the agent stack: orchestration, retrieval, evaluation, observability, and guardrails
- Partner with our Architect and Senior Salesforce Engineering Lead on the data contract between the Salesforce platform and the off-platform AI layer
- Translate the company's AI strategy into a buildable technical plan
- Architect and lead the build of our MCP server, the platform layer that connects agents to TaskRay's project, customer, and onboarding data and gives us control over usage analytics, packaging, and external agent connections
- Design and lead the build of our PM Agent, an internal-facing agent that materially increases customer team productivity by maintaining live project status and surfacing the next best action
- Design and lead the build of our Execution Agent, an internal-facing agent that completes tasks on behalf of human counterparts inside TaskRay workflows
- Design and lead the build of our External Onboarding Agent, the customer-facing agent that handles status updates, document collection, and end-customer interaction across the onboarding lifecycle
- Build the eval, observability, and feedback infrastructure that lets us iterate on agents safely against real customer data
- Set our approach to retrieval, tool use, and multi-step reasoning. We expect production-quality systems, not demo-quality
- Partner with our design partner customers (3 to 5 in the first phase) to discover the repeatable workflow patterns worth productizing across the PM Agent, Execution Agent, and External Onboarding Agent
- Lead the technical scoping for design partner work: what we build custom, what we build into the core product, what we deliberately do not build
- Be the technical voice in those engagements alongside Product. Engagements run via video and shared tooling, not on-site
- Establish TaskRay's engineering standards for AI feature development: prompt iteration, eval-driven workflows, agent observability, cost and latency budgets, security and compliance posture
- Actively contribute to our agentic coding standards and norms
- Mentor senior and mid-level engineers contributing to AI work, and shape the broader hiring bar for AI capability on the team
Skills
- Track record of shipping production agent systems at meaningful scale (real users, real reliability requirements, real failure modes you have debugged)
- Deep, hands-on experience designing agent systems in production: tool use, multi-step reasoning, retrieval pipelines, and the evals required to iterate on them safely
- Strong Python proficiency (the lingua franca of the AI stack), with production experience deploying real systems
- Hands-on experience with Anthropic Claude or comparable LLM provider APIs at production scale, including reliability patterns, eval harnesses, and cost and latency engineering
- Demonstrated technical leadership: scoping work for multiple engineers, making and defending architectural decisions, and partnering credibly with senior stakeholders. We are level-agnostic on years; we care about the work
- Comfort in customer-facing technical discovery and design partner contexts. You can listen well, scope tightly, and hold your own with a senior buyer
- Experience with Model Context Protocol (MCP), agent orchestration frameworks, or comparable tooling
- Experience operating in compound or agentic development workflows (Claude Code, Cursor, or equivalent), with a point of view on how teams should adopt them
- Background that includes one or more of: customer-embedded technical engagements, ML platform, or research-to-production transitions
Benefits
- Bonus based on company and individual performance targets
- Medical, dental, and vision benefits
- Every other Friday off and a team that respects your time outside of work
- Flexible PTO
- 12 weeks paid family and medical leave, 16 weeks for birthing people
- Vacation bonuses
- Anniversary bonuses
- Company-paid life insurance
- 401(k) matching
- Cell phone reimbursement stipend
- Employee Assistance Program
Company Overview
TaskRay is the solution for on boarding customers at scale in Sales force. It is a sub-organization of Bracket Labs. It was founded in 2010, and is headquartered in Lafayette, Colorado, USA, with a workforce of 51-200 employees. Its website is http://taskray.com.