Forward Deployed Engineer

Job summary

You will embed with operating teams to identify high-leverage workflows and build end-to-end production-grade AI systems. This involves owning the entire lifecycle from discovery and development to deployment, monitoring, and iteration based on real-world outcomes.

Job details

THE ROLE A heavily funded software company is building a Forward Deployed Engineering team to deploy production AI directly into the businesses it operates. This is not traditional solutions engineering. You’ll work directly with GMs and operators, understand how their businesses run, identify the highest-leverage workflows to automate, and then build the actual software end-to-end. That means owning everything from discovery through production: * agents and LLM workflows * prompts, evals and guardrails * integrations and APIs * backend systems * React-based product surfaces * SQL and data workflows * deployment, monitoring and iteration You’re not building demos or POCs that get handed off. You’re shipping real systems into live operations and owning whether they actually improve the business. WHAT YOU’LL DO * Embed with operating teams to understand messy, real-world business problems * Identify the workflows where AI/software can create the most leverage * Turn ambiguous operational problems into scoped technical solutions * Build and deploy production-grade agentic systems end-to-end * Work across Python/TypeScript, React and SQL * Design evals, autonomy controls and human-in-the-loop workflows * Integrate with existing systems and operational data * Iterate with users after launch based on real production outcomes * Work directly with senior operators and business leaders * Turn successful deployments into reusable patterns that can scale across multiple businesses WHAT THEY’RE LOOKING FOR Ideally, you have 3–6 years of software engineering experience, with the strongest profiles typically in the 4–6 year range. You should have: * Strong full-stack engineering ability * Experience with Python and/or TypeScript * React experience * Strong SQL/data fundamentals * Experience shipping LLM or agentic systems into production * Experience with evals, guardrails, tool use or autonomy controls * Strong product judgment * Comfort working directly with non-technical stakeholders * Ability to take an ambiguous problem and own the solution from start to finish STRONG BACKGROUNDS Especially relevant backgrounds include: * Forward Deployed Engineering * Product Engineering * Founding Engineering * Full-Stack Engineering * Applied AI Engineering * Early-stage or high-growth startups * Engineers who have worked at both a recognizable tech company and a startup * Customer-facing engineers who have built and operated production software NOT A FIT IF This role is probably not the right fit if your experience is primarily: * pre-sales or demo-focused solutions engineering * internal prototypes without production ownership * frontend-only or backend-only engineering * research-focused AI without product delivery * data annotation / AI training * highly specialized Big Tech engineering with limited end-to-end ownership WORKING STYLE This is a high-autonomy environment. You’ll be expected to operate like an engineer, product manager and technical operator at the same time — understanding the business problem, deciding what should be built, shipping it, and staying accountable for the outcome. The role is based in Toronto and requires regular in-person work, along with travel to operating companies when needed. This is best suited to engineers who want broader ownership than a traditional SWE role and want to build AI systems against real operational problems rather than isolated technical features.

What you’ll do

You will embed with operating teams to identify high-leverage workflows and build end-to-end production-grade AI systems. This involves owning the entire lifecycle from discovery and development to deployment, monitoring, and iteration based on real-world outcomes.

Requirements

The ideal candidate has 3–6 years of full-stack engineering experience with proficiency in Python, TypeScript, React, and SQL. You must have a strong background in shipping LLM or agentic systems into production and the ability to manage ambiguous operational problems.

Benefits

• Equity

Listed skills

• SQL · Preferred
• React · Preferred
• iteration · Preferred
• TypeScript · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• TypeScript
• React
• SQL
• LLM
• Agentic systems
• Full-stack engineering
• Data workflows
• Product judgment
• Deployment
• Monitoring
• Iteration
• API integration
• Guardrails
• Evals
• Tool use
• Full Stack Development
• Business Problems
• Product Delivery
• Agentic Systems
• Workflow Management
• Application Programming Interface (API)
• Artificial Intelligence
• Engineering Research
• Equities
• Sales
• Front End Design
• Python (Programming Language)
• Operational Data Store
• Operations
• Product Engineering
• Product Management
• Software Engineering
• SQL (Programming Language)
• React.js (Javascript Library)
• Artificial Intelligence Infrastructure

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting
• Forward Deployed Engineer
• Python Developer
• Software Developers