AI-Native Software Engineer (AI Development Lifecycle)

Quick Facts

• Role: AI-Native Software Engineer (AI Development Lifecycle)

• Experience: 8+ years

• Work mode: Hybrid (3 days in office)

Description

Build end-to-end applications using an AI-assisted development lifecycle. Convert ambiguous business problems into working prototypes and PoCs within days, and use AI throughout design, coding, testing, debugging, documentation, and refinement. Define acceptance criteria and continuously evaluate AI output for correctness, quality, security, usability, and business fit, then harden prototypes into secure, maintainable production-ready applications.

Responsibilities

• Build end-to-end applications using an AI-assisted development lifecycle

• Rapidly turn business requirements and ideas into working prototypes and PoCs

• Use AI across 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 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 engineering judgment on what AI can accelerate vs. what still requires deeper engineering and human validation

Requirements

• 8+ years of strong hands-on software/application development

• Demonstrated experience using AI-assisted or AI-native development approaches to build real applications

• Strong rapid prototyping and PoC development experience

• 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 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 accelerators or evaluation harnesses is highly desirable)

• Strong understanding of software architecture, security, scalability, observability, and production engineering

• Comfort experimenting, evaluating, failing fast, and iterating

Benefits

• Work on AI-native application development measured by working, validated outcomes

• Build end-to-end solutions across frontend, backend, integrations, data, AI, testing, and deployment as needed

• Contract duration: 6–12 months