- 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
- Help identify areas of the software lifecycle that can be accelerated through generative AI and automation.
Requirements
- 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 systems
- Experience 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 SDLC
- Strong 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.
Core Competencies
Demonstrates expertise in integrating generative AI tools into software engineering workflows, enhancing productivity and software quality through AI-augmented engineering practices. Proficient in developing intelligent data processing and NLP pipelines while ensuring compliance and security in AI implementations.
Highest-signal resume keywords
- Generative AI Tool Integration
- AI-Enabled Engineering Techniques
- NLP Pipeline Development
- AI Model Deployment
- Prompt Workflow Design
ATS Optimization Keywords
Hard Skills
- Generative AI Coding Tools
- LLM Code Generation
- AI Test Generation
- Debugging Automation
- AI Component Integration
- Data Processing
- AI Security Practices
- Software Development Lifecycle
- AI-Assisted Engineering
- Agent-Based Development
Soft Skills
- Strong Problem-Solving Skills
- Effective Communication
- Cross-Functional Collaboration
- Mentoring Engineering Teams
- Curiosity and Experimentation
Industry Keywords
- AI-Augmented Engineering Standards
- Software Quality Improvement
- User Experience Enhancement
- Security and Compliance Considerations
- Production Workflow Integration
Tools & Technologies
- GitHub Copilot
- Cursor
- Codeium
- ChatGPT
- Claude
- AI Test Generators
- AI Developer Tooling
- Automated Testing Agents
- AI Dashboards
- AI Interfaces