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. Learn more at evidentid.com.
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.
Key Responsibilities
Hands-On Product EngineeringDesign, build, test, and ship high-impact SaaS features and servicesDrive architecture decisions and technical execution from requirements to productionSet and uphold standards for code quality, reliability, observability, and security
AI-First Development LeadershipEvaluate, 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 & CoachingLead and mentor a team of 2–3 engineers through planning, execution, and deliveryCoach engineers on strong fundamentals and high-leverage AI-assisted workflowsProvide technical guidance through design reviews, code reviews, and pairing
Cross-Functional CollaborationPartner with product, design, and leadership to deliver the right solutions quicklyCommunicate progress, risks, and opportunities clearly and proactively
Required Skills & Qualifications
5+ years of professional software engineering experience, including leading small teams or acting as a player/coachProven ability to build and ship SaaS products end-to-end in fast-moving environmentsStrong system design and problem-solving skills; able to articulate tradeoffs clearlyDeep, practical experience using AI/LLM tools in daily engineering work, with clear opinions on what drives real leverageExcellent communication and mentorship skills; comfortable leading change
Preferred Qualifications
Experience integrating LLM-based features into production systemsBackground in developer productivity, platform engineering, or SDLC automationFamiliarity with AI privacy, security, and compliance considerations
