Forward Deployed Engineer TS SCI with Polygraph Required
Were 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. Youll join a small, cross-functional team working directly with customers to get LIGER into production and build the features that make it stick.
LIGER sits within LMIs Chief Technology Office. Were a small, high-visibility team building AI tools for federal agencies. The culture is more startup than traditional government contractor; we move fast, solve problems in design spikes rather than scheduled reviews, and care more about outcomes than process. That said, were building for users who need reliability and trust, so craft and attention to detail matter.
As a Forward Deployed Engineer, youll work directly with customers while staying closely connected to the core product team. Youll have real influence on what gets built and how it gets deployed.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectorshelping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
- 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 LIGERs capabilities and its value to potential and existing customers
- Rapidly build features into or around LIGERs 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 builders 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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