Forward Deployed Engineer - Clearance Required
$145,000–$210,000 year
HybridWashington, United States
Job Summary
Integrate the LIGER GenAI platform into customer business processes and build custom features across the full stack using Angular, Node.js, Python, and PostgreSQL. Design agentic workflows, document processing pipelines, and orchestration infrastructure to support text extraction, chunking, and semantic retrieval. Conduct proof-of-concept demonstrations, configure deployments, and provide post-sale support for 60-180 days before transitioning to long-term project teams. Translate customer needs into working code, document requirements, and collaborate with internal product and engineering teams to deliver tailored solutions. Engage directly with customers in-person, hybrid, or remotely, traveling occasionally to support engagements across the United States.
Required Qualifications
- This position requires the ability to obtain a CBP Background Investigation
- U.S. citizenship is required
- 3+ years of full stack development experience
- 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
- Hands-on experience building with LLMs
- 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
- Ability to clearly communicate the value and benefits of technical solutions to non-technical audiences
Desired Qualifications
- 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
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