We're Hiring: Forward Deployed Engineer (FDE) — AI / Agentic Software
Travel: 2–3 days/week to portfolio company locations
About the Opportunity
We’re looking for Forward Deployed Engineers who can operate at the intersection of software engineering, AI, product, and business operations .

This is a highly hands‑on, Palantir-style FDE opportunity within a software holding company . You will work directly with portfolio companies, understand their operational challenges, identify high‑impact opportunities for AI and agentic automation, and then build, deploy, operate, and improve production systems end‑to‑end .

This is not a presentation‑heavy solutions role . You will be expected to write production code, work directly with operators and executives, and take ownership of measurable outcomes.

What You'll Do
Embed with portfolio companies

Work directly with portfolio companies to understand their operating models, workflows, and business priorities.

Build relationships with GMs and operational leaders and quickly earn their trust.

Identify the 2–3 highest‑leverage workflows where agentic software can create meaningful impact.

Build and deploy AI-powered solutions

Design and build the initial “wedge” for each deployment.

Develop integrations, prompts, evaluations, UI surfaces, and agentic workflows.

Launch the first production agentic loop using the organization’s core platform.

Own the entire technical delivery cycle rather than handing work between specialized teams.

Operate systems after launch

Monitor and tune deployed systems in production.

Adjust autonomy levels and gating based on real‑world performance.

Track outcomes and continuously improve deployed workflows.

Transition stable solutions to portfolio operations teams when appropriate.

Act as the technical partner to business leaders

Serve as the technical face of the organization to portfolio company GMs.

Translate ambiguous operational challenges into clearly scoped technical solutions.

Set expectations, communicate trade‑offs, and ensure stakeholders understand the value created by the system.

Build reusable organizational knowledge

Bring lessons from deployments back to HQ.

Identify recurring patterns across companies and verticals.

Codify successful approaches into reusable playbooks.

Help accelerate future deployments by turning individual solutions into repeatable systems.

Required Technical Skills
You should be comfortable owning a production system from backend through frontend and data layer .





Core requirements:

TypeScript or Python for backend development.

Ability to independently own end‑to‑end technical delivery.

Experience programming with Go and/or TypeScript .

Experience working with modern AI development tooling and coding agents.

Strong understanding of LLMs / foundation models and agentic workflows.

AI / Agentic Engineering Experience
A major requirement is experience building real production AI systems , not simply experimenting with AI or creating demonstrations.

Strong candidates will have experience with:

Production LLM applications

Agentic workflows

AI‑powered automation

Evaluation frameworks / evals

Autonomy gating

Outcome tracking

AI developer tools and coding agents

Integrations and workflow automation

Production deployment and post‑launch iteration

We are specifically looking for engineers who have shipped AI/agentic software to external users.
Business & Operator Mindset
Technical ability alone isn't enough for this role.

You should be able to:

Understand how a business operates.

Read and interpret a P&L; .

Translate business problems into technical opportunities.

Determine where AI can create the highest leverage.

Work effectively with non‑technical executives.

Navigate ambiguity without requiring highly prescriptive requirements.

Balance technical quality with business outcomes.

Ideal Background
The strongest candidates may come from backgrounds such as:

Senior full‑stack engineer with direct customer exposure

Product engineer who has shipped production AI systems

Generalist engineer capable of owning an entire technical solution

High‑Growth Startups

Early‑stage engineer

Engineers who have operated with significant autonomy in high‑growth environments

Business / Operator Exposure

Experience working with PE‑backed or portfolio companies

Consulting environments

Vertical SaaS

M&A; integration or similar operational transformation work

You should demonstrate:

Strong executive presence.

Polished communication with C‑suite executives and GMs.

Ability to explain complex technical concepts clearly.





Ability to build trust quickly with business operators.

Comfort working in ambiguous, rapidly changing environments.

Ability to independently drive projects from problem discovery through deployment and measurable outcomes.

What We're Looking For

3–6 years of relevant experience in full‑stack, customer‑facing software/product engineering or forward deployed engineering

Production experience with LLMs / agentic software

Robust TypeScript or Python

Experience with AI development tools and coding agents

Customer‑facing / embedded engineering experience

Strong business and operator instincts

Ability to work directly with executives and GMs

Strong communication and executive presence

Willingness to travel frequently to portfolio company locations

Ability to work in a hybrid environment

Early‑stage startup engineers

Product Engineers with strong AI experience

Engineers from high‑growth technology companies

Customer‑facing engineers who have owned production deployments

Tech Environment
Languages: TypeScript, Python, Go

Frontend: React

AI: LLMs, Foundation Models, Agentic Workflows, Evals

Development: AI-native development tools and coding agents

This Role Is NOT a Fit If...

Your experience is limited to solutions engineering demos or prototypes without production ownership

You have primarily worked as a backend-, frontend-, or mobile-only specialist and cannot own full‑stack delivery

You have not built or coded with up-to-date AI development tools

Your experience consists primarily of short consecutive stints

You have not shipped production AI/agentic systems to real users

You prefer narrowly defined requirements and do not enjoy ambiguous business problems

Competitive Equity

Hybrid work model

Frequent exposure to portfolio companies and high‑impact deployments

Visa transfer and relocation opportunities available

Why This Opportunity?
This is an opportunity to work on high‑impact AI deployments where engineering directly changes how businesses operate .

Instead of building isolated features, you will repeatedly:

You’ll work closely with business operators, ship production AI systems, learn from each deployment, and help turn those learnings into reusable solutions across an entire portfolio.

Toronto, Canada
Candidates should be comfortable with a hybrid schedule and 2–3 days per week of domestic travel to portfolio company locations.

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📌 Forward Deployed Engineer (FDE) — AI / Agentic Software (Ontario)
🏢 Carnaby Fox
📍 Ontario