Essential Duties & Responsibilities
Create code that meets design specifications, follows standards, is of high quality and is easy to maintain.
Integrate AI-assisted development tools (e.g., AI code generation, agentic coding assistants, AI-powered code review and test generation) into daily engineering work to materially increase velocity and quality.
Manage and leverage context engineering and harness engineering to get reliable, high-quality output from agentic development tools.
Work with various teams in the organization to ensure appropriate project requirements are met.
Perform unit, automation and peer testing to ensure that the product is fully tested.
Ensure that all work is properly documented.
Ability to carry out all policies and procedures as established by the team, department, or company at large.
Provide training, give project demos and other presentations as needed.
Voluntary mentoring of others, including on effective and responsible use of AI development tools.
Writing and/or contributing to design documents.
Perform code reviews.
Lead or co-lead projects and design efforts as needed.
Provide input and proposals/recommendations for code refactoring, process improvements, technologies and tools, including emerging AI-driven development practices.
Requirements & Skills
7+ years job experience in a software development/software engineer role.
Ability to reason logically and provide innovative solutions.
Demonstrated, hands-on adoption of AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot, Devin AI, or similar) as part of your regular workflow, able to speak concretely to how these tools have changed your approach to building software.
Understanding of how to properly manage agent instructions, skills and harnesses to get consistent, production-quality results from agentic tools.
Demonstrated proficiency with the following
Modern languages/stacks (e.g., Python, Go, Java, TypeScript/Node, Vanilla JS/PReact)
Web Services + REST API Design and implementation
SQL
ORM frameworks
CSS
Cloud infrastructure (AWS preferred)
Authentication and Security protocols, including OAuth2 and OIDC protocols
Git
CI/CD
Predictable and quality delivery
Successful completion of projects where AI-assisted development tools were used to meaningfully accelerate delivery or improve quality.
Familiarity with SOP, AI orchestration/agent-harness framework, is a plus.
Desired Skills
Experience working in a Kanban environment.
Experience building or integrating LLM-powered features directly into a product (RAG, agents, tool use) and instrumenting them for observability.
Experience with infrastructure-as-code (Terraform) and platform engineering.
Bachelor's Degree in Computer Science.
We are an equal opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability or veteran status.
