29 Aug
|
Carnaby Fox
|
Toronto
29 Aug
Carnaby Fox
Toronto
We're Hiring: Forward Deployed Engineer (FDE) — AI / Agentic SoftwareTravel: 2–3 days/week to portfolio company locationsAbout the OpportunityWe’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 DoEmbed with portfolio companiesWork 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 solutionsDesign 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 launchMonitor 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 leadersServe 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 knowledgeBring 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 SkillsYou 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 ExperienceA 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 applicationsAgentic workflowsAI‑powered automationEvaluation frameworks / evalsAutonomy gatingOutcome trackingAI developer tools and coding agentsIntegrations and workflow automationProduction deployment and post‑launch iterationWe are specifically looking for engineers who have shipped AI/agentic software to external users.Business & Operator MindsetTechnical 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 BackgroundThe strongest candidates may come from backgrounds such as:Senior full‑stack engineer with direct customer exposureProduct engineer who has shipped production AI systemsGeneralist engineer capable of owning an entire technical solutionHigh‑Growth StartupsEarly‑stage engineerEngineers who have operated with significant autonomy in high‑growth environmentsBusiness / Operator ExposureExperience working with PE‑backed or portfolio companiesConsulting environmentsVertical SaaSM&A integration or similar operational transformation workYou 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 For3–6 years of relevant experience in full‑stack, customer‑facing software/product engineering or forward deployed engineeringProduction experience with LLMs / agentic softwareStrong TypeScript or PythonExperience with AI development tools and coding agentsCustomer‑facing / embedded engineering experienceStrong business and operator instinctsAbility to work directly with executives and GMsStrong communication and executive presenceWillingness to travel frequently to portfolio company locationsAbility to work in a hybrid environmentEarly‑stage startup engineersProduct Engineers with robust AI experienceEngineers from high‑growth technology companiesCustomer‑facing engineers who have owned production deploymentsTech EnvironmentLanguages: TypeScript, Python, GoFrontend: ReactAI: LLMs, Foundation Models, Agentic Workflows, EvalsDevelopment: AI-native development tools and coding agentsThis Role Is NOT a Fit If...Your experience is limited to solutions engineering demos or prototypes without production ownershipYou have primarily worked as a backend-, frontend-, or mobile-only specialist and cannot own full‑stack deliveryYou have not built or coded with modern AI development toolsYour experience consists primarily of short consecutive stintsYou have not shipped production AI/agentic systems to real usersYou prefer narrowly defined requirements and do not enjoy ambiguous business problemsCompetitive EquityHybrid work modelFrequent exposure to portfolio companies and high‑impact deploymentsVisa
📌 Forward Deployed Engineer (Fde) — Ai / Agentic Software (Toronto)
🏢 Carnaby Fox
📍 Toronto