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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Hatz AI, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), BIG-IP Global Traffic Manager (GTM), Workflow Management Systems, Large Language Models, Claude Code, Agentic-AI - **Published:** October 18, 2026 - **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-new-york-ny--637e465d-065f-430f-bb8c-f35716b7c9fa ## About the Role * 2-5+ years of engineering or technical deployment experience, including customer-facing work * A track record of scoping and delivering complex projects in fast-moving or ambiguous environments * Hands-on experience building or deploying systems powered by LLMs or generative models - and an understanding of how model behavior shapes product experience * You're self-directed in ambiguity - you can shape an unclear ask into a detailed workflow, flag issues early, and deliver on customer need without hand-holding * Clear communication with engineers, product teams, and MSP stakeholders alike * Calm and judgment when the stakes are high Nice-to-Haves * Experience writing or maintaining customer-facing documentation * Have proficiency in Python or familiarity with AI tools and complex software * Experience using coding tools like Claude Code, Codex, OpenCode, etc. * Ability to contribute directly in the codebase when progress or clarity depends on it * Prior exposure to security and compliance workflows (SOC reports, DPAs, security questionnaires) * Familiarity with incident management and on-call rotation practices ## Description Forward Deployed Engineer (FDE)Location: New York City (Flatiron District) - Hybrid | ~50% TravelHatz AI is building the infrastructure that lets businesses adopt AI with confidence. Based in the Flatiron District of New York City, we work at the forefront of an AI transformation that is reshaping how work gets done. Across the country, employees are quietly turning to AI tools to boost productivity - but businesses need a trusted, secure way to embrace that same technology. That's the gap we're closing.As a Forward Deployed Engineer (FDE), you'll partner with MSPs and their end-customers to turn AI capabilities into production systems. This role sits at the intersection of customer delivery and core platform development - equal parts engineering, deployment, and product influence.About the RoleFDEs lead complex, end-to-end deployments of AI agents and workflows in production, working alongside our most strategic MSP partners and their customers. You'll own the full arc - discovery, technical scoping, system design, build, and production rollout - partnering directly with MSP engineering and domain teams.Success here looks like production adoption, measurable workflow impact, and eval-driven feedback that shapes our product and model roadmaps. You'll work hand in hand with our Product, Partnerships, GRC, Security, and GTM teams.This role is based in New York City. When not traveling (~50%), the team works from our NYC office on a hybrid schedule.What You'll DoOwn technical delivery across multiple deployments, from first prototype to stable productionBuild full-stack systems that deliver real customer value and sharpen how we learnRepresent Hatz in senior client settings - CEOs, CMOs, and C-suite equivalents - with the presence to make every interaction land.Embed closely with MSP and end-customer teams to understand their needs and guide adoption of what you buildScope work, sequence delivery, and remove blockers earlyMake sound trade-offs between scope, speed, and quality - and adjust plans to protect deliveryCodify working patterns into tools, playbooks, and building blocks others can reuseShare field feedback that helps Product understand where the platform shines and where it can improveKeep teams moving through clarity and follow-throughWhat We're Looking For2-5+ years of engineering or technical deployment experience, including customer-facing workA track record of scoping and delivering complex projects in fast-moving or ambiguous environmentsHands-on experience building or deploying systems powered by LLMs or generative models - and an understanding of how model behavior shapes product experienceYou're self-directed in ambiguity - you can shape an unclear ask into a detailed workflow, flag issues early, and deliver on customer need without hand-holdingClear communication with engineers, product teams, and MSP stakeholders alikeCalm and judgment when the stakes are highNice-to-HavesExperience writing or maintaining customer-facing documentationHave proficiency in Python or familiarity with AI tools and complex softwareExperience using coding tools like Claude Code, Codex, OpenCode, etc.Ability to contribute directly in the codebase when progress or clarity depends on itPrior exposure to security and compliance workflows (SOC reports, DPAs, security questionnaires)Familiarity with incident management and on-call rotation practicesBenefitsCompetitive salary and equityComprehensive health, dental, and vision insurance; life and disability coverage; 401(k) with matchHybrid work scheduleOpportunities for professional development and career growthA collaborative, inclusive work environmentEqual Opportunity StatementHatz AI is proud to be an equal opportunity employer. We are committed to building a diverse, inclusive team and welcome applicants of all backgrounds, identities, and experiences. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We believe diverse perspectives make for better products and a stronger company - and we're actively working to build a team that reflects that belief.Ready to shape the future of AI for the businesses that depend on it? We'd love to hear from you.Compensation: $90K-$160K base, plus variable, plus equity.