- Embed GenAI technologies and practices into the engineering ecosystem
- Enhance productivity, accelerate innovation, and enable responsible AI use in daily workflows
- Champion modern software delivery patterns, automation, and resiliency practices
- Enable domain-aligned teams through modular, API-driven, and decoupled solutions
- Drive GenAI adoption and skill-building across the engineering community
- Perform complex analysis, advanced design, configuration, and development for impactful tasks
- Direct and implement solutions to moderately complex, loosely scoped problems
- Deliver efforts independently and by leading other team members
- Lead investigation and resolution of critical problems, defects, and incidents
- Advocate for technology and identify opportunities to improve the business
- Provide technical guidance and mentorship
- Apply current industry trends and techniques to formulate solutions
- Expand technical knowledge and capabilities
- Perform other assigned responsibilities
Requirements
- 5+ years of professional software engineering experience
- At least 1 year shipping production systems built on LLMs or AI agents
- Bachelor's degree in computer science, related STEM field, or equivalent in education and/or work experience
- 6 additional years of software engineering experience
- Experience with GitHub, Python, .NET/C#, Angular, AWS, OCF, Mongo, DocumentDB, and SQL Server
- Experience with modern agent frameworks such as Claude Agent SDK, LangGraph, AgentCore, or similar
- Experience with LLM APIs such as Anthropic and OpenAI
- Proficiency with tool use, retrieval, multi-step workflows, evaluation, and observability
- Strong software fundamentals in distributed systems, API design, testing, and CI/CD applied to AI-augmented systems
- Experience defining and driving technical direction for a workstream or product area
- Track record of identifying opportunities and influencing engineering or product strategy through technical insight
- Ability to make decisions involving significant factors with broad implications
- Strong communication and collaboration skills
- Advanced leadership skills, including acting without clear ownership and influencing team members
Core Competencies
Demonstrates expertise in embedding GenAI technologies into engineering workflows, driving adoption and skill-building while enhancing productivity through modern software delivery patterns and automation. Proficient in leading teams, providing technical guidance, and resolving complex problems in AI-augmented systems.
Highest-signal resume keywords
- 5+ Years Software Engineering Experience
- Production Systems Built on LLMs or AI Agents
- Experience with GitHub, Python, .NET/C#, Angular, AWS
- Strong Software Fundamentals in Distributed Systems
- Advanced Leadership Skills
Hard Skills
- Software Engineering
- LLM APIs
- API Design
- CI/CD
- Distributed Systems
- Testing
- Configuration
- Development
- Complex Analysis
- Automation
Soft Skills
- Strong Communication Skills
- Collaboration Skills
- Mentorship
- Influencing Team Members
- Decision-Making
Certifications & Qualifications
- Bachelor's Degree in Computer Science
- STEM Field or Equivalent Experience
Industry Keywords
- GenAI Technologies
- Software Delivery Patterns
- Modular Solutions
- API-Driven Solutions
- AI-Augmented Systems
- Technical Direction
- Engineering Community
- Product Strategy
- Observability
- Multi-Step Workflows
Tools & Technologies
- GitHub
- Python
- .NET/C#
- Angular
- AWS
- OCF
- Mongo
- DocumentDB
- SQL Server
- Claude Agent SDK