Forward Deployed Engineer - Clearance Required

LMI is a digital solutions provider focused on accelerating government impact with innovation and speed. They are seeking a Forward Deployed Engineer to integrate their enterprise AI platform, LIGER, into customer environments while working closely with clients to ensure successful deployments and feature development.

Responsibilities:

• 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

Requirements:

• This position requires the ability to obtain a CBP Background Investigation; U.S. citizenship is required
• 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
• 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