We’re looking for a Forward Deployed Engineer to help deploy, extend, and integrate LIGER, an enterprise AI platform that connects knowledge, systems, and agentic workflows to accelerate outcomes across federal missions. You’ll join a small, cross-functional team working directly with customers to get LIGER into production and build the features that make it stick. 

As a Forward Deployed Engineer, you’ll work directly with customers while staying closely connected to the core product team. You’ll have real influence on what gets built and how it gets deployed.

• Work closely with customers to integrate the LIGER GenAI platform into their existing business processes
• Build and ship features across the full stack: Angular/TypeScript frontend, Node.js/Python backend, PostgreSQL
• Design and implement agentic workflows: tool-calling, multi-step reasoning pipelines, and the orchestration infrastructure that makes them reliable in customer environments
• Build and maintain document processing pipelines supporting text extraction, chunking, metadata enrichment, indexing, and persistence for downstream semantic retrieval use cases
• Ensure successful deployment and initial configuration of the LIGER platform, supporting customers for 60-180 days post-sale before transitioning the deployment to a long-term project team
• Conduct proof-of-concept demonstrations to showcase LIGER’s capabilities and its value to potential and existing customers
• Rapidly build features into or around LIGER’s core platform to meet customer-specific needs, working closely with the core product team to integrate new features into the product
• Document and communicate customer requirements and feedback to ensure continuous improvement and alignment with customer priorities
• Engage directly with customers in various formats, including in-person, hybrid, or remote work as required by the customer
• Travel occasionally to customer locations within the United States for direct engagements and support
• Work collaboratively with internal teams including product management, engineering, and support to deliver seamless solutions to customers

• This position requires a TS/SCI with Polygraph

• 3+ years of full stack development experience, comfortable owning both frontend and backend

• Proficiency in Angular and TypeScript on the frontend

• Solid backend experience in Node.js and/or Python

• Experience using PostgreSQL to store, retrieve, and manage structured application data, with experience in database design and SQL development

• Hands-on experience building with LLMs (prompt engineering, API integration, tool use, and managing model outputs in production)

• Familiarity with agentic patterns: orchestration, tool-calling, retrieval-augmented generation (RAG), or multi-step agent flows

• Experience designing and developing RESTful APIs and backend services

• Active use of AI-assisted development tools in your day-to-day coding workflow

• Strong knowledge of containerization technologies (e.g. Docker) and CI/CD pipelines, specifically with GitLab

• Familiarity with cloud computing deployment models, especially AWS GovCloud and/or working within a federal environment

• Excellent communication and interpersonal skills, with the ability to interact effectively with multiple stakeholders, including senior executives from government and industry

• Ability to manage multiple tasks in a fast-paced environment and prioritize effectively

What Will Set You Apart

• Background in NLP, computational linguistics, or data science, with hands-on experience in text extraction, entity recognition, embeddings, semantic search, or related techniques

• Experience building scalable document processing pipelines supporting text extraction, chunking, metadata enrichment, indexing, and persistence for downstream semantic retrieval use cases

• Experience with Model Context Protocol (MCP): building servers, defining tools, or integrating MCP into an agent stack

• Familiarity with frameworks like LangChain, LlamaIndex, or similar orchestration tools

• A portfolio of side projects, open-source contributions, or other evidence of a builder’s disposition

• Demonstrated fluency with AI coding tools and a workflow that treats them as force multipliers

• Proven ability to work quickly and independently as part of a small team of engineers to deliver high-quality, tailored solutions

• Experience in sales engineering within the federal government sector, with a deep understanding of federal customers’ unique challenges and requirements

• Background working on AI-native products or internal tooling where models are core to the user experience, not bolted on

• Familiarity with federal cybersecurity requirements and vulnerability management concepts

• Familiarity with container orchestration engines such as Kubernetes (e.g., EKS, AKS, GKE, OpenShift)

• Strong background in Unix/Linux operating systems

• Knowledge of AWS products and capabilities, with specific experience in GovCloud environments

• Ability to clearly communicate the value and benefits of technical solutions to non-technical audiences

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