TaskRay

TaskRay

Senior AI Engineer

Denver HQ · Senior

Sponsorship not specified$148k-$209kDetected 14 days ago
PythonCode ReviewLLMsLLMOpsAI OrchestrationSalesforceCRMCustomer Success

About the role

  • 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.
  • 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.

Responsibilities

  • Build production agent capabilities for our PM Agent (the internal-facing agent that maintains live project status and increases customer team productivity), our Execution Agent (the internal-facing agent that completes tasks on behalf of human counterparts), and our External Onboarding Agent (the customer-facing agent that handles status, document collection, and end-customer interaction).
  • Design prompts, agent loops, and tool integrations that meet customer-grade reliability, not demo-grade
  • Own subsystems end to end: retrieval pipelines, eval harnesses, prompt libraries, tool registries, and the observability around them
  • Translate customer-specific work into reusable building blocks for the core platform
  • Partner with Product on customer-facing demos, walkthroughs, and feedback loops
  • Help build and maintain the MCP server and the off-platform service layer that hosts our agent capabilities
  • Develop integrations with adjacent systems where the agents need them (Google Drive, calendar and meeting transcripts, document stores, CRM data)
  • Cultivate authentic connections with customers, partners, and each other.

Requirements

  • You have shipped LLM-based features to production users.
  • Hands-on experience with retrieval pipelines, agent loops with tool use, and the evals that keep them honest
  • Strong Python proficiency (the lingua franca of the AI stack), with production experience deploying real systems
  • Hands-on experience integrating LLM provider APIs (Anthropic Claude, OpenAI, or equivalent) into real applications, including evals, prompt iteration, and cost and latency engineering
  • we care about what you have shipped.

Nice to have

  • Experience with Model Context Protocol (MCP) or agent orchestration tooling
  • Curiosity about the Salesforce platform.
  • You do not need to know it.
  • We will teach you.
  • But you should be excited about integrating agents with the system of record where most enterprise customer-facing work actually happens.
  • Experience with compound or agentic coding workflows (Claude Code, Cursor, or equivalent)

Compensation

  • Cash compensation for this role is commensurate with experience.

Benefits

  • We believe in a customer-first mindset across everything we do, continuously learning and focusing on the 'We' rather than the 'I'.
  • Medical, dental, and vision benefits
  • 12 weeks paid family and medical leave, 16 weeks for birthing people
  • Vacation bonuses
  • Company-paid life insurance
  • Cell phone reimbursement stipend

Company info

  • 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.
  • 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, and the off-platform service layer that hosts it all.
  • You will partner with design partner customers to learn what the agent needs to do before generalizing it into the product.
  • This is a heads-down builder role with leverage.
  • We are small, the work is real, and shipping speed matters.
  • 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.
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This listing is sourced directly from TaskRay's careers page and normalized into a canonical job model.