> Markdown version of [/jobs/ext/257490-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/257490-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** LATENTBRIDGE LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $80,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computer Programming, Python (Programming Language), Software Product Management, Software Deployment, TypeScript, Large Language Models, Prompt Engineering, Information Technology, Deployment Automation - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=71f766d47a7c49b4 ## About the Role Do you have experience in Teamwork?, * 7+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. * Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. * Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications * High agency with an ability to navigate ambiguity present in complex organizations. * High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. * Passion for advancing safe, beneficial AI systems through creative technical applications. * Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. * A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. * Experience with enterprise IT systems and/or AI deployment patterns is a plus. ## Description As a member of the Applied AI team at LatentBridge, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Pre-Sales, Delivery, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent LatentBridge at the highest level in customer environments. This is a significant responsibility: you'll play a key role in championing our mission in the enterprise. Responsibilities * Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. * Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. * Provide white glove deployment support for Anthropic products in enterprise environments. * Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. * Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. * Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. * Travel frequently (25-50%) to customer sites to build in person with customers. 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