Note: The job is a remote job and is open to candidates in USA. Motive empowers people who run physical operations with tools that make their work safer, more productive, and more profitable. The GTM AI Engineer will build and own internal AI agents, automations, and full-stack applications for the GTM organization, managing solutions from prototyping through production, testing, maintenance, and user adoption.
Responsibilities
- Own the full stack 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
- This includes building complex agents using Glean and N8N, as well as using AI enhanced IDE tools such as Cursor to develop a range of agents, workflows, and full stack applications
- Internally developed tools may be tested head-to-head with external vendors to determine the efficacy of the solutions we build
- Collaborate with our internal product managers and Enterprise Systems teams to integrate key data sources into your applications / agents in a secure way that respects and adds to Motive's data governance structure
- Ensure agents and applications follow UX best practices, meet users where they already work, and can be easily leveraged by a less technical business audience
- Have a strong POV on when an agentic workflow is warranted vs a business logic focused solution
- Have a strong POV on which of our internal development tools is best suited to solve a specific 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 LLM's and agentic orchestration
Skills
- We are seeking an individual with an experimentation mindset, who is not afraid to try new ideas, learn from failures, and is energized by the prospect of rapid prototyping and testing
- The ideal candidate is deeply passionate about AI, believing in its potential to fundamentally reshape the future of work and eager to be a part of this transformation
- You should possess a strong understanding of AI fundamentals, such as context windows, token consumption, compute costs, chunking, and performance benchmarks, along with knowledge of API usage, scripting, SQL/SOQL, and Python fundamentals
- Experience with prompt engineering for complex tasks, leveraging foundational models (like Gemini, GPT, Claude, etc) through both web interfaces and APIs, and familiarity with the evolving agentic landscape, including orchestration layers and MCP, are also essential
- The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations
- It is Motive's policy to require that employees be authorized to receive access to Motive products and technology
Benefits
- Restricted stock units may be included in total compensation for certain roles
- Health, pharmacy, optical and dental care benefits
- Paid time off
- Sick time off
- Short term and long term disability coverage
- Life insurance
- 401k contribution
Company Overview
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