About the role

Lead AI initiatives at OP Labs, building scalable automation tools and collaborating to drive innovation. Transform business challenges into AI-driven solutions in a fully remote setup.

Responsibilities

Partner Across the Organization
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.

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)
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
Experience in fintech, crypto, or high-growth environments is a plus
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
Background in BizOps, Data Science, Data Engineering, or Product Engineering
Experience building AI agents or advanced automation workflows