Forward Deployed Engineer

Role OverviewTo be considered for an interview, please make sure your application is full in line with the job specs as found below.We are looking for a Forward Deployed Engineer (FDE) specializing in Claude and Generative AI implementation to work directly with customers to design, build, and deploy production AI solutions.This is a highly technical, customer-facing role sitting between software engineering, AI engineering, solution architecture, and consulting. You will take business problems from initial discovery through rapid prototyping and into production, using Anthropic Claude and modern agentic AI technologiesThe ideal candidate is a strong software engineer who is comfortable operating in ambiguous customer environments, translating business requirements into technical solutions, and building working applications rather than simply producing recommendations or architecture diagrams.Key ResponsibilitiesWork directly with customers to identify high-value use cases for Claude, Generative AI, and agentic AIDesign and implement applications using Claude APIs and Anthropic's ecosystemBuild production-grade AI applications, agents, workflows, and integrations.Develop solutions leveraging tool use/function calling, structured outputs, prompt engineering, RAG, and agentic workflowsIntegrate Claude with existing enterprise applications, APIs, databases, SaaS platforms, and internal systems.Design and implement Model Context Protocol (MCP) integrations where appropriate.Rapidly prototype solutions and take successful proofs of concept through to production.Build backend services and APIs primarily using Python and/or TypeScriptWork with customer data and knowledge sources to develop retrieval and context-management architectures.Evaluate model outputs and improve accuracy, reliability, latency, and cost.Implement appropriate AI guardrails, security controls, observability, and evaluation frameworks.Run technical workshops, demonstrations, and discovery sessions with customers.Work closely with engineering and product teams to communicate recurring customer requirements and implementation challenges.Create reusable components, implementation patterns, and best practices that accelerate future deployments.Required ExperienceStrong professional software engineering background.Hands-on experience building applications using Claude / Anthropic APIsStrong programming skills in Python and/or TypeScript/JavaScriptExperience deploying LLM-powered applications into production environmentsStrong understanding of LLM concepts including:Prompt engineering and context managementTool/function callingAI agents and agentic workflowsRAG and vector searchStructured outputsLLM evaluation and observabilityExperience integrating AI applications with enterprise APIs, databases and third-party systems.Understanding of modern cloud infrastructure and application deployment.Ability to move quickly from an ambiguous business requirement to a working technical solution.Strong communication and stakeholder-management skills.Comfortable working directly with both technical and non-technical customer stakeholdersHighly DesirableExperience with any of the following would be particularly valuable:Claude CodeModel Context Protocol (MCP)Anthropic SDKsAWS Bedrock / Claude on AWSAgent orchestration frameworksLangChain/LangGraphVector databasesPostgreSQL / SQLReact / Next.jsDocker / KubernetesAWS, Azure or GCPEnterprise authentication and authorizationAI security and governanceLLM evaluation frameworksPrevious consulting, professional services, solutions engineering, or Forward Deployed Engineering experienceWhat We're Looking ForWe are particularly interested in engineers who combine deep technical ability with strong customer instinctsYou should be comfortable entering a customer environment where the problem may initially be poorly defined, understanding what the customer is actually trying to achieve, building something quickly, gathering feedback, and iterating until the solution delivers measurable business value.This isn't a pure research or advisory position. You will be expected to write code, build applications, integrate systems, solve problems, and deploy AI into real-world customer environmentsIdeal BackgroundThe strongest candidates will have experience taking Claude or other frontier LLMs from proof-of-concept through to production, with demonstrable examples of AI applications they have personally designed and built.This role is remote but will require some travel (10-25% per month). xhyhwjd No C2C companies.