AI-Native Software Engineer - JobID-0024
$114,000 - $184,000
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Posted 51 days ago
SENIORITY
Lead
SALARY
$114,000 - $184,000
About the role
- Use generative AI tools (LLM copilots, autonomous coding agents, AI test generators) as a core part of daily software engineering workflows
- Demonstrate and share AI-enabled engineering techniques that improve team productivity and software quality
- Help define and evolve AI-augmented engineering standards, patterns, and best practices
- Prototype and evaluate emerging AI developer tooling (agent frameworks, code copilots, automated testing agents)
- Mentor engineering teams on effective use of generative AI in development workflows
- Integrate AI Components into Complex DoW Software Environments
- Integrate AI models and services into mission-critical software systems. Develop Intelligent Data Processing and NLP Pipelines
- Deliver AI‐Enabled Dashboards, Interfaces, and Insights
- (Required):Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time professional experience.5-7 years of full-time professional experience
- Ability to travel up to 10% of the time, as needed
- Demonstrated curiosity and experimentation with emerging AI technologies and engineering practices.
- Daily use of generative AI coding tools such as GitHub Copilot, Cursor, Codeium, ChatGPT, Claude, or similar systemsExperience using LLMs for code generation, debugging, test generation, and documentation automation
- Familiarity with agent-based development workflows and AI-assisted engineering environments
- Experience designing prompt workflows or system prompts to improve developer productivity
- Ability to critically evaluate AI-generated code for correctness, security, and performance
- Strong understanding of AI concepts and practical deployment patterns
- Demonstrated ability to scope requirements for engineering solutions that meet business challenges using AI with measurable outcomes
- Experience in engineering solutions that integrate AI models into production workflows to improve User Experience and productivity
- Understanding of security and compliance considerations when implementing AI solutions, especially in sensitive or classified environments, to support multiple deployment environments
- Understanding of secure software development practices and AI-specific security risks as they pertain to a full SDLCStrong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently
- Strong communication skills — ability to collaborate and explain complex concepts to diverse audiences, and synthesize details into actionable recommendations and implementations
- Cross-functional collaboration — builds strong relationships across engineering, security, compliance, etc. What Makes You Stand Out: Experience building AI-augmented developer tooling
- Familiarity with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel, etc.)Experience integrating AI capabilities into DevSecOps pipelines
- Experience deploying or operating self-hosted LLMs in secure environments
- Proficiency in containerization (Docker, Podman, etc.) and orchestration frameworks (Swarm, Kubernetes, etc.)Development, system integration, and test experience with complex DoW systemsExperience supporting and working with cross-functional teams in a dynamic environment
- Familiarity with US Navy and US Army tactical C2 or sensors such as Aegis, CEC, CAC2S, IBCS, SPY-1, etc. system design is desired
- Experience with creating and configuring Virtual Machines (VMware, VirtualBox, etc.)Problem-solving skills with the ability to navigate ambiguous situations
- Excellence in technical communication with peers and non-technical cohorts
- Ability to work closely with Program Managers and Chief Engineers to document, manage and communicate systems and software requirements
- Attention to detail
- Initiative, creativity, reliability, teamwork
- Strong organization and planning skills
- Solid analytical abilities, coupled with a strong sense of ownership, urgency and drive
- If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network.
Before you apply
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Your profile is current
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A number in mind
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Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
