Lead AI-Native Software Engineer

DevIQ•Denver, CO

4d•$140,000 - $175,000•Hybrid

About The Position

We’re looking for a hands-on Lead AI-Native Software Engineer to help shape how we build software in the age of agentic AI. This role blends technical leadership, AI-accelerated delivery, and client-facing consulting, with meaningful hands-on time spent designing and shipping solutions alongside the team. You’ll use agentic AI tools such as Claude Code and Codex as a core part of your daily workflow, and you’ll raise the bar for how our teams and our clients build software with them.

Requirements

8+ years of professional software engineering experience, including experience leading technical teams or serving as a technical lead
Real-world, production experience using agentic AI coding tools (such as Claude Code, Codex, or Cursor) to accelerate software delivery, beyond autocomplete-style assistance
Prior consulting or customer service experience with a track record of success working directly with external clients or customers
Strong expertise in at least one modern language and ecosystem (such as TypeScript/Node, Python, C#/.NET, or Java) and experience delivering on at least one major cloud platform (AWS or Azure)
Deep grounding in software engineering fundamentals, including architecture, automated testing, CI/CD, and code review, and the judgment to know when to trust agent output and when to inspect it closely
Exceptional communication skills, including the ability to explain technical trade-offs to non-technical audiences, facilitate meetings, present with confidence, and write clearly
Strong interpersonal skills, including empathy, active listening, patience, and professionalism under pressure
Adaptability and curiosity, with a demonstrated habit of learning rapidly evolving tools and helping others do the same

Nice To Haves

Experience supporting pre-sales efforts (architecture, scoping, solutioning, estimating) preferred
Experience building agentic workflows and infrastructure, such as MCP servers, custom agents, prompt libraries, or AI-assisted CI pipelines
Experience driving adoption of AI development practices across a team or organization, including measuring impact on velocity and quality
Experience with conflict resolution, stakeholder management, or formal customer-facing roles in a professional services environment
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience

Responsibilities

Lead the architecture, design, and implementation of modern software solutions for clients, serving as the senior technical voice on consulting engagements
Use agentic AI tools (Claude Code, Codex, Cursor, or similar) as a primary development workflow, delegating implementation, testing, and refactoring tasks to agents while maintaining rigorous quality standards
Design codebases to be agent-friendly, with clear conventions, strong automated test coverage, and documentation that enables AI tooling to work effectively
Establish review and verification practices for AI-generated code, ensuring correctness, security, and maintainability in everything the team ships
Build and maintain prompts, custom agents, and CI/CD integrations that automate routine engineering work across client projects
Serve as a trusted advisor to clients, communicating complex technical concepts clearly to both technical and non-technical stakeholders, setting realistic expectations, and building lasting relationships
Listen actively and empathetically to client needs, asking thoughtful questions and translating business goals into pragmatic technical roadmaps
Mentor and coach engineers on AI-native development practices, raising the velocity and quality of every team you work with
Partner with sales and leadership on pre-sales activities, including technical discovery, solution design, and estimating
Foster a collaborative, inclusive team culture, giving and receiving feedback constructively, navigating disagreement respectfully, and owning the problem as a team
Evaluate emerging AI development tools and patterns and decide which earn a place in the stack