Staff AI Engineer
Role overview
We are hiring a Staff AI Engineer to lead the technical design of TaskRay's AI platform. This role sits at the center of our next 18 months: an off-platform agent layer that integrates deeply with our Salesforce-native distribution, productized through outcome-based packaging and validated through engagements with our design partner customers.
You will own the architecture, set the engineering standards for how we build with LLMs, and partner directly with our VP of Product & Engineering, our Architect, and our senior Salesforce engineering lead to ship. You will also be visible to customers: design partner work is how we learn what to productize, and you will be the technical voice in those rooms (virtually, not on-site).
We will sequence these agents deliberately, starting with internal-facing capabilities (the PM Agent and Execution Agent) before extending to the External Onboarding Agent. The MCP server is the foundation that underpins all three.
This is a builder's role with leverage. You will not be managing people on day one, but your technical judgment will shape what every other engineer on the team builds.
Note
We are hiring AI engineers, not Salesforce engineers. You bring the agent craft (production LLM systems, evals, retrieval, tool use, multi-step reasoning). We will teach you what you need to know about the Salesforce platform our product is built on. The integration work is real but it is not the center of the role; the agents are.
Responsibilities
- check_circle Own the architecture of TaskRay's off-platform AI tier, including the contracts that connect it to our Salesforce-native core
- check_circle Make and defend build versus buy decisions across the agent stack: orchestration, retrieval, evaluation, observability, and guardrails
- check_circle Partner with our Architect and senior Salesforce engineering lead on the data contract between the Salesforce platform and the off-platform AI layer
- check_circle Translate the company's AI strategy into a buildable technical plan
- check_circle 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
- check_circle 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
- check_circle Design and lead the build of our Execution Agent, an internal-facing agent that completes tasks on behalf of human counterparts inside TaskRay workflows
- check_circle 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
- check_circle Build the eval, observability, and feedback infrastructure that lets us iterate on agents safely against real customer data
- check_circle Set our approach to retrieval, tool use, and multi-step reasoning. We expect production-quality systems, not demo-quality
- check_circle 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
- check_circle 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
- check_circle Be the technical voice in those engagements alongside Product. Engagements run via video and shared tooling, not on-site
- check_circle Establish TaskRay's engineering standards for AI feature development: prompt iteration, eval-driven workflows, agent observability, cost and latency budgets, security and compliance posture
- check_circle Actively contribute to our agentic coding standards and norms
- check_circle Mentor senior and mid-level engineers contributing to AI work, and shape the broader hiring bar for AI capability on the team
- check_circle Track record of shipping production agent systems at meaningful scale (real users, real reliability requirements, real failure modes you have debugged)
- check_circle 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
- check_circle Strong Python proficiency (the lingua franca of the AI stack), with production experience deploying real systems
- check_circle Hands-on experience with Anthropic Claude or comparable LLM provider APIs at production scale, including reliability patterns, eval harnesses, and cost and latency engineering
- check_circle 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
- check_circle Comfort in customer-facing technical discovery and design partner contexts. You can listen well, scope tightly, and hold your own with a senior buyer
- check_circle Experience with Model Context Protocol (MCP), agent orchestration frameworks, or comparable tooling
- check_circle Experience operating in compound or agentic development workflows (Claude Code, Cursor, or equivalent), with a point of view on how teams should adopt them
- check_circle Background that includes one or more of: customer-embedded technical engagements, ML platform, or research-to-production transitions
- check_circle Medical, dental, and vision benefits
- check_circle Every other Friday off and a team that respects your time outside of work
- check_circle Flexible PTO
- check_circle 12 weeks paid family and medical leave, 16 weeks for birthing people
- check_circle Vacation bonuses
- check_circle Anniversary bonuses
- check_circle Company-paid life insurance
- check_circle 401(k) matching
- check_circle Cell phone reimbursement stipend
- check_circle Employee Assistance Program
About the company
First impressions matter. TaskRay is on a mission to ensure businesses get off to a great start with a flawless customer experience once the opportunity is marked Closed Won. TaskRay is the leader in post-sale work management in the Salesforce ecosystem. We help companies make the transition from sales to customer success frictionless, driving greater efficiencies and creating unmatched customer experiences – all within Salesforce.
Culture is at the heart of TaskRay. We look for team members who share our values and bring them to life in their own ways. If these resonate with you, TaskRay could be the place for you:
Connection. Cultivate authentic connections with customers, partners, and each other. We believe in a customer-first mindset across everything we do, continuously learning and focusing on the ‘We’ rather than the ‘I’.
Integrity. We are transparent, sharing information and feedback freely. We infuse every action with honesty, fairness, and respect for customers and colleagues alike. We do the right thing, even when no one is watching.
Hunger. We have high expectations and expect high performance of ourselves and our teams. We constantly look to innovate and improve, unleashing our creativity and persistence to find solutions and deliver exceptional results.
Thrive. We love what we do and bring our best selves to work every day. We show up as real human beings who speak from the heart, value others’ contributions and invest in each other’s growth.