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The world’s largest organizations rely on Evident to help them protect their business and brand from third-party risk. Our game-changing technology - which enables the secure exchange of risk data like proof of insurance, identity, business registration, and other information - helps our customers verify that their partners have all of the required credentials to do business. In today’s new remote-first, ever-changing regulatory environment, our secure, privacy-first enterprise platform, accessible via web portal or API, provides a highly scalable and configurable solution to manage communications, storage, decisioning, and ongoing monitoring of credentials. Evident is a VC-backed technology startup, headquartered in Atlanta, GA. We’re looking for a highly skilled Lead Software Engineer who will be a hands-on builder of the product and lead a small team (2–3 engineers) in an AI-first development environment. The core of this role is using AI tools as a primary force multiplier across the software lifecycle to accelerate delivery of SaaS products without sacrificing quality. You’ll set direction, raise engineering standards, and guide the team through modern, AI-enabled ways of building.
Job Responsibility:
Hands-On Product Engineering: Design, build, test, and ship high-impact SaaS features and services
Drive architecture decisions and technical execution from requirements to production
Set and uphold standards for code quality, reliability, observability, and security
AI-First Development Leadership: Evaluate, implement, and standardize AI tools across the SDLC (coding, review, testing, docs, incident analysis)
Build “AI-in-the-loop” workflows for: - requirements/spec drafting - design exploration and architecture docs - code generation, refactoring, and migrations - test creation and regression detection - documentation, runbooks, and onboarding
Define guardrails for safe and effective AI use (security, privacy, IP, data handling)
Team Leadership & Coaching: Lead and mentor a team of 2–3 engineers through planning, execution, and delivery
Coach engineers on strong fundamentals and high-leverage AI-assisted workflows
Provide technical guidance through design reviews, code reviews, and pairing
Cross-Functional Collaboration: Partner with product, design, and leadership to deliver the right solutions quickly
Communicate progress, risks, and opportunities clearly and proactively
Requirements:
5+ years of professional software engineering experience, including leading small teams or acting as a player/coach
Proven ability to build and ship SaaS products end-to-end in fast-moving environments
Strong system design and problem-solving skills
able to articulate tradeoffs clearly
Deep, practical experience using AI/LLM tools in daily engineering work, with clear opinions on what drives real leverage
Excellent communication and mentorship skills
comfortable leading change
Nice to have:
Experience integrating LLM-based features into production systems
Background in developer productivity, platform engineering, or SDLC automation
Familiarity with AI privacy, security, and compliance considerations
What we offer:
Competitive pay package, including base pay and stock options
Full medical, dental, vision benefits and 401K
Unlimited PTO
Paid parental leave to support you and your family