Software Engineer evaluating AI - generated code, architecture, and reasoning for Gramian Consultancy. Creating coding problems and feedback to improve next - generation AI models.
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.
Requirements
- 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
Benefits
- Competitive compensation
- Fully paid medical, dental, and vision
- 4% 401K match
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