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LatentBridge

Forward Deployed Engineer

Remote Mid Posted May 14, 2026

Role Description

Position: Forward Deployed Engineer

Location: US (NY/NJ) (On-Site/Hybrid)

Job Type: Full-Time

About LatentBridge

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.

You May Be a Good Fit If You Have

  • 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.

Pay: Up to $80,000.00 per year

Benefits:

  • Flexible schedule

Work Location: Hybrid remote in New York, NY 10040

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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