Software Engineer - Mid

Spear AI•Bolling AFB, DC

8d•Remote

About The Position

We’re looking for a Software Engineer to develop and maintain full stack software applications and services supporting AI/ML and analytic mission operations, focusing on scalable back-end systems, APIs, and user interfaces for enterprise platforms. Works closely with senior engineers, data engineers, and AI/ML practitioners to deliver mission capability. About Spear AI Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation’s security. As we expand, we’re building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you’re joining our Hardware, Software, or Services division, you’ll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure. The Services team is Spear AI’s applied engineering and technical advisory arm - embedded alongside government customers to design, build, and operate the AI pipelines, data infrastructure, and software systems that take emerging AI capability from concept to fielded mission impact. The team brings together machine learning engineers, data engineers, software engineers, cloud architects, and operational subject matter experts who pair deep technical skill with a working understanding of how the Intelligence Community and DoD actually function day to day. Services engagements vary from small, focused capability sprints to multi-year embedded support across classified environments.

Requirements

4+ years of hands-on software development experience
Active TS/SCI clearance with ability to obtain CI Polygraph
Proficiency in at least one modern front-end framework (React, Angular, or Vue) and at least one back-end language (Python, JavaScript/Node.js, Java, Go, or similar)
Experience with web frameworks, relational and/or non-relational databases, and cloud platforms
Working knowledge of API design (REST/GraphQL) and microservice patterns
Knowledge of software engineering best practices and common design patterns
Experience with version control (Git), testing frameworks, and DevOps tools
Demonstrated ability and willingness to rapidly learn novel AI platforms, frameworks, and tool integrations, including those enabling agentic AI capabilities

Nice To Haves

TS/SCI CI Poly clearance
Strong AWS cloud skills (ECS/EKS, Lambda, S3, IAM, RDS, and CloudWatch)
Experience with GitLab and GitLab CI/CD pipelines
DevSecOps exposure (secure coding, automated testing, container/dependency scanning)
Familiarity with MCP servers or tool-using LLM systems
Familiarity with AI/ML concepts and patterns for integrating ML services into applications
Military experience strongly preferred
Intelligence Community experience strongly preferred

Responsibilities

Design and implement full stack software components for AI/ML and analytic applications
Develop RESTful APIs and microservices following established architectural patterns
Build user interfaces and dashboards for AI system monitoring, control, and mission workflows
Implement automated testing and continuous integration practices
Collaborate with data scientists, AI engineers, and senior SWEs on system integration
Troubleshoot and resolve software issues in development and production environments
Participate in code reviews and maintain high-quality coding standards
Contribute to software architecture decisions and technical documentation
Contribute to CI/CD pipelines and DevSecOps tooling under the guidance of senior engineers
Support development and operation of MCP server integrations and AI tooling

Benefits

Unlimited PTO
Dedicated sick time
Comprehensive health and benefits – Medical, dental, and vision coverage
11 Paid Holidays
Professional development
Collaborative environment
Mission-driven work
401(k) with company match
Onsite / Remote / Flexible work arrangements or hybrid options (position dependent)
Relocation assistance (position dependent)
Referral bonuses
Performance bonuses
Life insurance and disability coverage
Technology home office setup stipend
Professional certification reimbursement (position dependent)