Senior AI Engineer

🕒 July 28

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $148k - $209k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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TaskRay

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

TaskRay is a Salesforce-native project management and customer onboarding platform that centralizes project delivery inside Salesforce. It provides template-driven onboarding, automation, resource management, task views (Kanban, Gantt), collaboration tools, analytics and AI-powered assistance (Agentforce) to standardize processes, accelerate time-to-value, and improve visibility across projects. TaskRay is positioned for companies running customer implementations and onboarding workflows within Salesforce, from small businesses to enterprises across regulated industries.

📋 Description

• Build production agent capabilities for our PM Agent and Execution Agent, and our 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 • Partner with design partner customers to ship custom agent workflows that teach us what to productize • Develop integrations with adjacent systems where the agents need them (Google Drive, calendar and meeting transcripts, document stores, CRM data) • Write clean, well-documented code that your teammates will thank you for • Actively contribute to our agentic coding standards and norms

🎯 Requirements

• You have shipped LLM-based features to production users. You have lived through the gap between a working demo and a system that actually serves customers • 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 • Strong written communication. You can explain technical decisions clearly to product, customer success, and customers themselves. • Strongly Preferred: 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) • Comfort in customer-facing technical contexts, including design partner work and customer demos (all virtual)

🏖️ Benefits

• 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