Forward Deployed Engineer (Internal tools)

About us

Trexo Robotics is enabling mobility by building powered wearable robots. Our first product is a robot for children with movement disorders such as Cerebral Palsy, and it allows kids to walk, in many cases, for the first time in their lives. The device is currently being used by hundreds of families and the best hospitals across North America.

We are constantly working towards building mobility solutions for all. At Trexo Robotics, you will find a flat organization where you can work with highly optimistic, low ego, and exceptionally talented individuals who look forward to solving hard problems.

About the job

We're looking for a Forward Deployed Engineer to work directly with our teams, uncover real operational bottlenecks, and build the automations, AI agents, dashboards, and tools that solve them. You will own problems end to end, from identifying what’s worth fixing to shipping durable solutions and seeing how they perform over time.

This isn't a role where problems arrive pre-scoped, you will be diagnosing which bottlenecks are worth solving, deciding how to solve them, and take solutions from idea to implementation. You will write real code that colleagues depend on, sit with the people whose work you're automating, and own projects end to end.

This is a newly created hybrid position (3 days per week on-site in Mississauga).

What you'll do:

• Design and build AI-powered internal tools, agents, and workflows using LLMs, Python, JavaScript, and tools like Zapier/Make, Airtable, and Salesforce.
• Work directly with internal teams (e.g. finance, marketing, business operations, regulatory, or production) to understand how work actually happens, identify the highest-impact bottlenecks, and prioritize what to automate.
• Build and improve data pipelines, integrations, and dashboards that turn fragmented operational data into reliable, actionable insights.
• Partner with teams to define and track meaningful KPIs, investigate issues, and turn analysis into clear recommendations and decisions.
• Take ownership of projects end to end, from diagnosing the problem and designing the solution to deployment, monitoring, documentation, and ongoing improvement.
• As the first person in this role, establish the standards, practices, and foundations for how internal tooling is built and scaled at Trexo.

Required Skills

• 3+ years of experience in software engineering, data engineering, technical operations, or a similar role, ideally building tools or automations used by other teams.
• Hands-on experience building production LLM applications (agents, tool-use/function calling, RAG, or automated workflows), not just demos or coursework.
• Proficiency with AI development tools and platforms (e.g., Claude Code, Curson, Codex, or similar agentic coding tools in a professional setting)
• Strong Python and/or JavaScript skills, with the ability to build integrations and handle cases that no-code tools can't.
• Strong SQL and data skills, including working with relational data, cleaning messy datasets, and assessing data quality. Comfortable with Excel or Google Sheets.
• Experience building dashboards, reports, or data pipelines that support real business decisions, with good judgment about which metrics actually matter.
• Familiarity with REST APIs, webhooks, and JSON, and experience connecting real-world systems such as CRMs, email, calendars, spreadsheets, and internal databases.
• Strong communication and collaboration skills, with the ability to work closely with non-technical teams and translate technical or data insights into clear actions.
• Comfortable with ambiguity and minimal process, since you'll be defining both as the first person in this role.

Nice to have

• Experience with MCP servers, agent frameworks (e.g., LangChain, LangGraph), or workflow orchestration tools (e.g., n8n).

• Experience with BI/dashboarding tools (Tableau, Quicksight, Looker, Metabase, or similar).

• Experience with Airtable, Zapier, or CRMs like Salesforce (flows, fields, reports) at a company of meaningful scale.

• Experience at an early-stage startup, particularly having helped stand up a new internal function.

• Basic understanding of funnel analytics and marketing attribution.

• Experience working with healthcare, medical device, or other regulated/compliance-sensitive data.