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AI Lead Engineer

Oplabs
2 months ago
Full-time
Hybrid
Worldwide

What are the role responsibilities?

  1. Partner Across the Organization
  2. Work closely with Data and business teams to understand workflows, identify pain points, and find high-impact opportunities for AI-driven automation and efficiency.
  3. Turn business problems into clear AI use cases.
  4. Build & Prototype AI Solutions
  5. Design and iterate on practical AI tools such as copilots, agents, and automated workflows using modern GenAI techniques. Write clean, reliable code in Python and Golang to support these solutions.
  6. Scale to Production
  7. Partner with engineering and data teams to turn prototypes into secure, scalable, production-ready systems.
  8. Serve as an Internal AI Advisor
  9. Guide teams on AI capabilities, responsible use, and best practices. Mentor others on design, coding standards, and effective AI tools.
  10. Drive Adoption
  11. Pilot new solutions with teams, gather feedback, iterate quickly, and support rollout to ensure real business impact.
  12. Ensure Responsible AI
  13. Work with Security, Legal, and Compliance to meet privacy, security, and ethical standards.
  14. Measure Impact
  15. Define success metrics and track outcomes such as:
  16. Time saved
  17. Cost reduction
  18. Increased speed and productivity
  19. Revenue impact
  20. Risk reduction
  21. Stay Current
  22. Continuously explore new AI models, tools, and practices to bring practical innovations into the business.

What skills do you bring?

  1. Experience
  2. 4+ years in software engineering or a technical/analytical role
  3. 1+ year working with applied AI, generative AI, or automation
  4. AI & Automation Skills
  5. Strong understanding of LLMs and common patterns (e.g., retrieval, agents)
  6. Hands-on experience with AI tools and frameworks (e.g., Gemini, Claude, LangChain, Python)
  7. Ability to quickly prototype working solutions
  8. Software Engineering Strength
  9. Experience building and scaling production systems
  10. Strong system design, coding, and debugging skills
  11. Business Mindset
  12. Ability to understand business processes and turn them into technical solutions
  13. Focus on measurable impact and ROI
  14. Experience in fintech, crypto, or high-growth environments is a plus
  15. Communication & Influence
  16. Clear communicator with technical and non-technical audiences
  17. Proven ability to drive adoption across teams
  18. Problem Solving & Execution
  19. Comfortable with ambiguity and fast iteration
  20. Able to manage multiple projects in a dynamic environment
  21. Collaboration & Risk Awareness
  22. Experience working with engineering, legal, security, and compliance teams
  23. Strong understanding of privacy and ethical considerations
  24. Nice to Haves:
  25. Background in BizOps, Data Science, Data Engineering, or Product Engineering
  26. Experience building AI agents or advanced automation workflows