We are looking for a hands-on AI-DLC Developer / AI-Native Software Engineer who can use AI to fundamentally change how applications are designed, built, tested, and delivered. This is not a traditional AI/ML Engineer role working within a conventional Scrum or Waterfall lifecycle. The ideal candidate can take an ambiguous business problem and rapidly turn it into a working, validated solution using AI-assisted development. The expected development loop is: Understand Intent Generate Build Evaluate Refine Deliver.
Roles and Responsibilities:
Build end-to-end applications using an AI-assisted development lifecycle.
Rapidly convert business requirements and ideas into working prototypes and PoCs, often within days.
Use AI throughout development, including solution design, coding, testing, debugging, documentation, and refinement.
Develop applications, APIs, integrations, workflows, automation, and AI/agentic solutions.
Create reusable development harnesses, templates, accelerators, prompts/context frameworks, test suites, and evaluation utilities.
Work directly with business/domain experts to build, demonstrate, receive feedback, and continuously refine solutions.
Define acceptance criteria and continuously evaluate AI-generated output for correctness, quality, security, usability, and business fit.
Convert rapidly developed prototypes into secure, maintainable, production-ready applications.
Apply strong engineering judgment to determine what AI can accelerate and what still requires deeper engineering and human validation
Experience: - 8+ Years
Location: - Chicago, IL / Edina, MN (Hybrid 3 days' Work from Office)
Tentative Duration: - 6 - 12 Months
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
Strong hands-on software/application development experience. Demonstrated experience using AI-assisted or AI-native development approaches to build real applications.
Strong experience with rapid prototyping and PoC development. Hands-on experience with tools such as Claude/Claude Code, GitHub Copilot, Cursor, OpenAI/Codex, Gemini, Azure OpenAI, or similar.
Strong programming skills in Python, JavaScript/TypeScript, Java, .NET, or equivalent modern development technologies.
Experience with APIs, integrations, databases, cloud services, CI/CD, automated testing, and application security.
Exposure to Agentic AI, LLMs, RAG, tool calling, context engineering, and AI evaluation. Experience creating reusable AI development accelerators or evaluation harnesses is highly desirable.
Good understanding of software architecture, security, scalability, observability, and production engineering.
What We Are Looking For Someone who: Builds, not just designs or manages. Can go from idea to working prototype quickly. Uses AI across the entire engineering lifecycle, not just for code generation. Is comfortable experimenting, evaluating, failing fast, and iterating.
Can work across frontend, backend, integrations, data, AI, testing, and deployment as needed.
Understands the difference between a rapid prototype and production-ready software. Measures progress through working and validated software, not just completed development tasks. What This Role Is NOT We are not looking for someone whose experience is limited to:
Traditional AI/ML development within Scrum/Waterfall.
Prompt engineering or RAG development alone. Using Copilot/ChatGPT only for coding productivity.
Architecture without hands-on development. Project/Program Management or Scrum delivery.
Building PoCs without understanding production engineering.
