
Lead AI Engineer
iCert Global
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $175,000 - $250,000 per year
Job Level
About the role
- Report to Dioptra former CEO
- Collaborate with other engineers, product managers, and designers to architect, develop, and own our user-facing application.
- Use your full stack experience to design intelligent solutions that include back-end and front-end systems.
- Promote sound engineering practices and drive technical strategy and roadmaps.
- Help design and implement measurements of success for the team.
- Initiate, influence, and drive technical projects.
Requirements
- You have 4+ years of experience building AI products
- Experience working at a startup is a plus
- You are comfortable working on challenging problems, in ambiguous, rapidly changing environments
- You want to have a large impact on the business as an early member of the team
- You are using AI coding tools (cursor / codex) on a daily basis
- You have professional experience with the following technologies (must haves): Python, SQL, databases, CI/CD, git, agent frameworks like LangGraph / CrewAI / AutoGen
Benefits
- Robust medical (physical & mental vision and dental benefits)
- Employee assistance program (EAP)
- Equity (RSUs) and shared ownership in the company
- Generous 401K match
- Flexible work environment
- Paid maternity and paternity leave
- Generous holiday and PTO program
- CaaS (coaching as a service)
- Annual personal development allowance
- 7 Days for Humanity – 7 paid volunteer days annually
- Global and regional DEIB steering committees, employee resource groups (ERGs)
- Global DEIB training programs and guest speakers throughout the year
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdatabasesCI/CDgitAI productsfull stack developmentagent frameworksLangGraphCrewAI
Soft Skills
collaborationproblem-solvinginfluencedriveadaptabilityimpact orientationtechnical strategyengineering practices