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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Zendesk, Inc. - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Data Governance, Extract Transform Load (ETL), Data Security, Data Stores, Python (Programming Language), Node.Js, Ruby, Runbook, Software Engineering, TypeScript, ReactJS, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Containerization, Kubernetes, Graphql, Front End Software Development, Virtual Agents, Zendesk, Data Pipelines, Automation Anywhere, Docker - **Published:** May 15, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=87e7ccaa100e854b ## About the Role Do you have experience in Zendesk?, Do you have a Master's degree?, * Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook. * Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality. * Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure). * AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability. * Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems. * Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills. * Travel readiness: willing to travel as needed to customer sites (typical range 25-50%)., * 5+ years software engineering experience delivering production systems. * Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. * Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation). * Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). * Comfortable working onsite with customers and traveling up to 50% as required., * Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments. * Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar). * Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms. * Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). * Experience with data governance, PII handling, and enterprise security/compliance constraints. ## Description * Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff. * Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows. * Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field's final line of defense for complex issues. * Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions. * Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction. ## Related Videos - [Coffee with Developers: David Heinemeier Hansson](https://www.wearedevelopers.com/videos/875-coffee-with-developers-david-heinemeier-hansson) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic](https://www.wearedevelopers.com/videos/1405-fireside-chat-with-werner-vogels-vp-cto-amazon-com-daniel-gebler-cto-at-picnic) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)