FDE - Applied AI Engineer

hireVouch$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-4 years of experience delivering software or workflow systems in production
  • Strong skills in solution and deployment architecture including APIs and integrations
  • Proficient with no-code/low-code automation platforms like Zapier and capable of writing Python or JavaScript
  • Focus on production reliability: handling errors, logging, and monitoring
  • Experience designing AI-enabled workflows with necessary safeguards
  • Ability to document trade-offs and escalate issues when required
  • Strong problem-solving skills with empathy for users' needs

Responsibilities

  • Conduct technical discovery in client environments to assess existing systems
  • Develop AI-enabled workflows with appropriate guardrails
  • Rapidly prototype automations using no-code platforms combined with light coding
  • Ensure production systems are hardened with necessary safeguards such as error handling
  • Implement according to specific acceptance criteria and monitoring requirements
  • Manage sensitive information while aligning with compliance standards
  • Document insights and trade-offs clearly to support decision-making
  • Collaborate closely with AI Engineers and senior team members on integration tasks

Benefits

  • Opportunity to work embedded with clients, enhancing hands-on experience
  • Collaboration with senior and expert Engineers for professional growth
  • Involvement in impactful projects that directly improve client operations
  • Access to resources for continuous learning in AI and system design
  • Flexible working style promoting clarity, speed, and quality outcomes
Full Job Description
Applied AI Engineer (Full stack Forward Deployed Engineer)

Role Overview

You are an Applied AI Engineer (FDE) - the forward-deployed operator inside a client pod, oriented to the build/deploy/adoption side of client work. You diagnose the business problem, design the solution on our s platform, and build the integration end-to-end: you're the problem-solver who also builds, combining technical skill with empathy for the client's actual workflows and business. You work embedded in client environments alongside a Senior FDE, Partners and Engagement Leads (who own the relationship and delivery), and AI Engineers (who extend the platform capabilities you depend on). At the mid-level tier, you're supported by a senior FDE on architectural calls and are responsible for owning workstreams within the engagement: shipping production-ready integrations, hardening systems, and contributing to the pod's adoption goals

What you'll own (outcomes)
  • Production-ready integrations and automations that actually ship - not diagrams, working systems
  • Workstreams within the engagement delivered on time and on quality, with acceptance criteria met before rollout
  • Reliable production systems with measurable operational improvement (time saved, error reduction, throughput increase)
  • Reusable patterns captured from your work for the platform and for your pod
  • Clean handoffs: documentation, runbooks, and monitoring that enable maintenance without your direct involvement
What you'll do (responsibilities)
  • Participate in technical discovery in client environments - map current-state workflows, understand existing systems, surface real constraints
  • Build AI-enabled workflows: prompting, retrieval/grounding, model and provider selection with guardrails and fallbacks
  • Prototype automations in days using no-code/low-code platforms (Relay, n8n, Zapier/Make, Lindy) combined with light Python/JavaScript
  • Harden systems for production: error handling, retries, idempotency, logging, monitoring, permissions
  • Implement against acceptance criteria, KPIs, monitoring, guardrails, and rollback plans defined for the engagement
  • Handle secrets, PII, and compliance requirements aligned to client and our security standards
  • Make and document explicit tradeoffs within your scope; escalate larger architectural calls to the Senior FDE
  • Partner closely with AI Engineers on platform extensions and with the Senior FDE on integration design
  • Interface with client working-team stakeholders to build confidence and align on approach
  • Identify reusable patterns from your work and contribute them back to the platform
What we're looking for (requirements)
  • 2-4 years of proven end-to-end delivery of software or workflow systems in production
  • Solid solution and deployment architecture skills: APIs, integrations, data contracts, auth/permissions, reliability
  • Fluency with no-code/low-code automation platforms (Relay, n8n, Zapier, Make, Lindy, or equivalent) AND ability to write Python or JavaScript
  • Production reliability mindset: error handling, retries, idempotency, logging, monitoring, and permissions are part of every system
  • Competence designing AI-enabled workflows: prompting, retrieval, model selection with guardrails and fallbacks
  • Good judgment under time and ambiguity - you make tradeoffs within your scope, document them, and escalate when needed
  • Clear technical writing: PRDs, interface contracts, runbooks, specs
  • Problem-solving orientation with empathy - you surface real problems and design solutions people can use
  • Comfort in client environments at the working-team level
Helpful if you have (preferred)
  • Forward-deployed engineering experience (Palantir, consulting engineering, or client-embedded technical roles)
  • Hands-on experience with LLM/agent architectures, orchestration patterns, and AI system design
  • Background automating operations in consulting or professional services environments
  • Experience with enterprise systems (CRM, ERP, ITSM, HRIS) via APIs and integrations
  • Understanding of process mapping methodologies and operational design
Working Style
  • You create clarity fast: define the problem, the scoreboard, and the next actions
  • You default to shipping: concrete artifacts over meetings and opinions
  • You do the unglamorous work to make systems reliable and measurable
  • You're direct and low-ego: you optimize for outcomes over credit
  • You care about quality and user trust; you prevent regressions, not just fix them
  • You're curious and pragmatic about AI: push what's possible, keep it grounded
  • You build leverage: patterns, templates, and primitives that compound over time

About hireVouch

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There has never been a more opportune time to join hireVouch, a leading entity in the innovative employment landscape. This company stands out as a beacon of professional growth and diversity, offering a plethora of job opportunities across various sectors.

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Being part of the hireVouch team means more than just filling a position. It's about contributing to a culture of growth, where every member’s input is valued and drives the company forward. Collaboration and networking are at the heart of hireVouch, with a global team dedicated to pushing the boundaries of what's possible.

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hireVouch is a hub for those who are driven to innovate. The company offers a platform where creativity meets technology, creating solutions that redefine industries. Professionals at hireVouch lead the charge in deploying groundbreaking strategies that set new standards in the market.

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The trajectory of a career at hireVouch is filled with endless possibilities. The company supports its team members with robust training programs, access to cutting-edge tools, and opportunities for upward mobility. From mastering technical skills to enhancing leadership capabilities, hireVouch is committed to helping individuals achieve their professional goals.

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