Note: The job is a remote job and is open to candidates in USA. OP Labs is a company transforming financial infrastructure through innovative technology. The AI Lead Engineer will partner with various teams to identify AI-driven opportunities, build and prototype AI solutions, and ensure responsible AI practices while driving adoption across the organization.

Responsibilities

• Work closely with Data and business teams to understand workflows, identify pain points, and find high-impact opportunities for AI-driven automation and efficiency
• Turn business problems into clear AI use cases
• 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
• Partner with engineering and data teams to turn prototypes into secure, scalable, production-ready systems
• Guide teams on AI capabilities, responsible use, and best practices. Mentor others on design, coding standards, and effective AI tools
• Pilot new solutions with teams, gather feedback, iterate quickly, and support rollout to ensure real business impact
• Work with Security, Legal, and Compliance to meet privacy, security, and ethical standards
• Define success metrics and track outcomes such as: Time saved, Cost reduction, Increased speed and productivity, Revenue impact, Risk reduction
• Continuously explore new AI models, tools, and practices to bring practical innovations into the business

Skills

• 4+ years in software engineering or a technical/analytical role
• 1+ year working with applied AI, generative AI, or automation
• Strong understanding of LLMs and common patterns (e.g., retrieval, agents)
• Hands-on experience with AI tools and frameworks (e.g., Gemini, Claude, LangChain, Python)
• Ability to quickly prototype working solutions
• Experience building and scaling production systems
• Strong system design, coding, and debugging skills
• Ability to understand business processes and turn them into technical solutions
• Focus on measurable impact and ROI
• Clear communicator with technical and non-technical audiences
• Proven ability to drive adoption across teams
• Comfortable with ambiguity and fast iteration
• Able to manage multiple projects in a dynamic environment
• Experience working with engineering, legal, security, and compliance teams
• Strong understanding of privacy and ethical considerations
• Experience in fintech, crypto, or high-growth environments
• Background in BizOps, Data Science, Data Engineering, or Product Engineering
• Experience building AI agents or advanced automation workflows

Benefits

• Competitive compensation
• Fully paid medical, dental, and vision
• 4% 401K match

Company Overview

Company H1B Sponsorship