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Full Stack Developer

LMI Government Consulting (Logistics Management In

Washington, DC(remote)

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JOB DETAILS
SALARY
$100,000–$175,000 Per Year
SKILLS
Access Control, Alliance/Partner Management, Application Integration, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Background Investigation, Building Systems, Contract Requirements, Cross-Functional, Data Management, Database Design, Detail Oriented, Distributed Applications, Event Management, Federal Compliance Regulations, Federal Government, Government, Government Contracts, Healthcare, MCP - Microsoft Certified Professional, Machine Tool, Metadata, Node.js, Open Source, Operational Support, PostgreSQL, Problem Solving Skills, Product Design, Programming Tools, Python Programming/Scripting Language, REST (Representational State Transfer), SQL (Structured Query Language), Scalable System Development, Secure Coding, Security Clearance, Shallow Parsing, Software Development, Startup, Structured Data, Support Documentation, Team Building, Team Lead/Manager, Technical/Engineering Design, United States Citizen, Use Cases, User Interface/Experience (UI/UX)
LOCATION
Washington, DC
POSTED
3 days ago
Overview

We're looking for a Full Stack Developer to help build and extend 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 shipping a ground-up product redesign and increasingly building the agentic capabilities that make LIGER genuinely powerful. This position requires the ability to obtain a CBP Background Investigation; U.S. citizenship is required. This is a 100% remote role with quarterly travel for in person team planning and collaboration events.

This isn't a maintain-the-backlog role. You'll work across the stack, own features end-to-end, and help shape how AI agents are integrated into workflows that real users depend on. If you're excited about building systems where models do real work, not just generate text, keep reading.

About This Team

LIGER sits within LMI's Chief Technology Office. We're 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, we're building for users who need reliability and trust, so craft and attention to detail matter.

You'll work daily with our designer, engineering lead, and product team. The agentic layer of LIGER is still being shaped, and this is a real opportunity to define how it gets built.

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 sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

What You'll Do
Build and ship full stack features across frontend (Angular, TypeScript), backend (Node.js/Python), and the integration layer between them
Design and implement agentic workflows: tool-calling, multi-step reasoning pipelines, and the infrastructure that makes them reliable
Use AI coding tools as a daily part of your development workflow
Integrate and maintain connections to external services, data sources, and APIs as part of agent execution flows
Collaborate directly with our designer and engineering lead in working sessions, shaping UX decisions rather than just implementing them
Contribute to backend architecture decisions around agent orchestration, state management, and LLM interaction patterns
Ship incrementally and stay close to users, getting things in front of people rather than perfecting in isolation

Qualifications

What We're Looking For
3+ years of full stack development experience, or fewer years with demonstrable depth in agentic or LLM-native development; 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, SQL development, and operational support
Hands-on experience building with LLMs (prompt engineering, API integration, tool use, and managing model outputs in production)
Active use of AI-assisted development tools in your day-to-day coding workflow
Experience designing and developing RESTful APIs and backend services that support scalable, maintainable integration across distributed application components
Familiarity with agentic patterns: orchestration, tool-calling, retrieval-augmented generation (RAG), or multi-step agent flows
Ability to move fast and iterate without heavy specs or detailed tickets

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

What Will Set You Apart
A portfolio of side projects, personal websites, open-source contributions, or other evidence of a builder's disposition; we care more about what you've built than where you've worked
Demonstrated fluency with AI coding tools and a workflow that treats them as force multipliers, not novelties
Experience with Model Context Protocol (MCP): building servers, defining tools, or integrating MCP into an agent stack
Experience building scalable document processing pipelines supporting text extraction, chunking, metadata enrichment, indexing, and persistence for downstream semantic retrieval use cases
Background working on AI-native products or internal tooling where models are core to the user experience, not bolted on
Familiarity with frameworks like LangChain, LlamaIndex, or similar orchestration tools
Experience developing software in environments governed by federal security and compliance requirements, with attention to secure coding practices, access control, auditability, and deployment constraints

Target salary range: $100,000 - 175,000

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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LMI Government Consulting (Logistics Management In