GTM AI Engineer United States - Remote
Motive
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
What You'll Do:
Own the full development cycle of prototyping / developing proof of concepts, scaling prototypes for production use, beta testing with end users, and performing ongoing maintenance for internal AI tools
Build complex agents using Glean and N8N, use low code tools like Retool or Cursor to develop front-end applications, and create complex prompts for use in Glean, Gemini, or Perplexity
Internally developed tools will be tested head-to-head with external vendors to determine efficacy
Collaborate with internal product managers and ESYS team to integrate key data sources into applications / agents in a secure way that respects Motive’s data governance structure
Ensure agents and applications follow UX best practices and can be easily leveraged by a less technical business audience
Articulate when an agentic workflow is warranted vs a point solution (i.e., prompt) and determine which internal AI tools are best suited for a given use case
Manage a provided cost envelope for production use cases, testing different LLM models to balance performance with token consumption cost
Create and maintain documentation around launched solutions
Train end-users on the usage of launched tools
Stay up-to-date on the latest advancements in LLMs and agentic orchestration
What We're Looking For:
3-5 years of hands-on development experience in an enterprise environment while leveraging machine learning + AI models
Strong understanding of AI fundamentals such as context windows, token consumption, compute cost, chunking, and performance benchmarks
Understanding of API usage, limitations, and how to leverage APIs to aggregate data across multiple source platforms, including rate limits and scalable API use for data sources and LLMs
Understanding of scripting, SQL / SOQL, and Python fundamentals
Experience leveraging prompt engineering to complete complex tasks, such as multi-step agentic workflows or coding
Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok and others), both through the web interface and via the API
Familiarity with the evolving agentic landscape, including orchestration layers, MCP, and Agent2Agent
Ability to communicate technical concepts to a non-technical end user
Fully remote position (USA or Canada and must already be located in the country)
Pay Transparency: Your compensation may be based on several factors, including education, work experience, and certifications. Motive offers benefits including health, pharmacy, optical and dental care, paid time off, disability coverage, life insurance, and 401k contribution. The compensation range for this role is dependent on location, experience, and other factors. Motive is an equal opportunity employer and we welcome diverse candidates from all backgrounds.
Motivate's commitment to equal opportunity: Motive is an equal opportunity employer. We are dedicated to building a diverse and inclusive workplace. We do not discriminate on the basis of any protected status under applicable law.
All candidates may be subject to eligibility verification and compliance checks as required by U.S. export controls and company policy.
#J-18808-Ljbffr