Senior AI Engineer

Role Description

We are hiring a Senior AI Engineer to build production agent capabilities for TaskRay's AI platform. You will work closely with our Staff AI Engineer and our product team to ship features that customers actually use, against the most demanding bar in our company: agents that automate real implementation work for enterprise onboarding teams.

You will work across the full AI stack:

• Prompt and agent design
• Retrieval
• Evals
• Tool integrations
• Off-platform service layer

We are sequencing these agents deliberately, starting with internal-facing capabilities (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 heads-down builder role with leverage. We are small, the work is real, and shipping speed matters.

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.

What You'll Do

• AI Feature Development
  • Build production agent capabilities for our PM Agent, Execution Agent, and External Onboarding Agent.
  • Contribute to our MCP server, the platform layer that connects these agents to TaskRay's project, customer, and onboarding data.
  • Design prompts, agent loops, and tool integrations that meet customer-grade reliability.
  • Own subsystems end to end: retrieval pipelines, eval harnesses, prompt libraries, tool registries, and the observability around them.
• Design Partner Work
  • Partner with design partner customers to ship custom agent workflows.
  • Translate customer-specific work into reusable building blocks for the core platform.
  • Partner with Product on customer-facing demos, walkthroughs, and feedback loops.
• Platform and Integration
  • Help build and maintain the MCP server and the off-platform service layer.
  • Develop integrations with adjacent systems where the agents need them (Google Drive, calendar and meeting transcripts, document stores, CRM data).
  • Contribute to the eval, observability, and reliability infrastructure.
• Engineering Craft
  • Write clean, well-documented code.
  • Participate in code reviews with a constructive, growth-oriented mindset.
  • Actively contribute to our agentic coding standards and norms.

Qualifications

• You have shipped LLM-based features to production users.
• Hands-on experience with retrieval pipelines, agent loops with tool use, and evals.
• Strong Python proficiency, with production experience deploying real systems.
• Hands-on experience integrating LLM provider APIs (Anthropic Claude, OpenAI, or equivalent).
• Strong written communication skills.

Strongly Preferred

• Experience with Model Context Protocol (MCP) or agent orchestration tooling.
• Curiosity about the Salesforce platform.
• Experience with compound or agentic coding workflows (Claude Code, Cursor, or equivalent).
• Comfort in customer-facing technical contexts, including design partner work and customer demos.

Compensation

• Estimated salary range: $148,000 - $209,000 per year.
• Eligible for 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 Description

At TaskRay, we celebrate differences and believe diverse teams create better solutions and stronger connections. We’re committed to providing equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, pregnancy, genetic information, veteran status, or any other status protected by law.

If you need accommodations during the application or interview process, please let us know. And if you meet most but not all of the qualifications, we encourage you to apply—we’d love to hear from you.