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Jobs/Staff Engineer Role/Ocrolus Inc. - Lead Engineer – AI Transformation
Ocrolus Inc.

Ocrolus Inc. - Lead Engineer – AI Transformation

Remote - IND1w ago
RemoteStaffAPACCloud ComputingArtificial IntelligenceStaff EngineerAI EngineerGovernanceTeam LeadershipMovePythonClaude

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Requirements

• 8–15 years in Applied AI / ML / Data Systems • Proven track record of building and scaling AI systems in production • building and scaling AI systems in production • Strong ability to connect AI capabilities to business outcomes • AI capabilities to business outcomes • Comfortable operating across strategy, execution, and stakeholder alignment • strategy, execution, and stakeholder alignment • Experience driving cross-functional transformation at scale • cross-functional transformation at scale • Delivered AI systems from idea → production → scale • idea → production → scale • Built solutions that moved core business metrics • moved core business metrics • Made clear trade-offs between accuracy, cost, and speed • accuracy, cost, and speed • Able to operate in ambiguity and create structure • TECHNICAL CAPABILITIES • Strong proficiency in at least one programming language (Python preferred) with proven hands-on project experience • at least one programming language (Python preferred) • Experience working with LLMs & GenAI tools (OpenAI, Claude, open-source models) in real-world use cases • LLMs & GenAI tools • Solid understanding of APIs, integrations, and backend logic (build, not just use) • APIs, integrations, and backend logic • Experience in building or contributing to RAG pipelines, AI agents, or orchestration frameworks • RAG pipelines, AI agents, or orchestration frameworks • Hands-on exposure to automation workflows (e.g., n8n or similar tools) • automation workflows • Working knowledge of NLP / document processing systems • NLP / document processing systems • Good to Have (Depth Enhancers) • Experience with cloud platforms (AWS / GCP) for deploying AI solutions • cloud platforms • Understanding of MLOps / LLMOps concepts (deployment, monitoring, versioning) • MLOps / LLMOps concepts • WHAT THIS ROLE IS • WHAT THIS ROLE IS • A hands-on builder with strong AI depth • A systems thinker who can design scalable solutions • A cross-functional operator who drives real impact • This is a builder + operator + Influencer role. • WHAT THIS ROLE IS NOT • Not a research-focused role • Not limited to model development • Not confined to a single team or function

Responsibilities

• Identify AI Opportunities Across the Organization • Proactively evaluate existing processes and workflows • Identify areas where AI can drive efficiency, accuracy, or scale • Redesign workflows using an AI-first approach (current → future state) • Goal is to improve: • Build and Implement AI Solutions • Design and develop AI-powered systems and workflows end-to-end • Move from idea → prototype → production deployment • idea → prototype → production deployment • Drive Adoption and Influence Across Teams • Work across functions to enable adoption of AI-driven solutions • Partner with stakeholders to translate business problems into AI use cases • Influence without authority to ensure successful implementation • Define AI Systems, Architecture & Tooling • Establish a scalable approach to AI systems and integrations • Define standards for: • Model selection and orchestration • System design and integrations • Tooling and frameworks • Ensure Reliability, Quality & Governance • Ensure AI systems are reliable, secure, and production-ready • Output quality and evaluation • Hallucination control • Data handling and compliance • WHAT SUCCESS LOOKS LIKE (FIRST 6–9 MONTHS) • Multiple AI-driven workflows deployed and adopted across teams • Measurable improvements in productivity, efficiency, or cost • Clear pipeline of AI opportunities across the organization • Established foundation for scalable AI adoption

Benefits

• Opportunity to build AI capabilities from the ground up • Direct impact on how the organization scales and operates • High visibility and partnership with leadership • Ability to drive meaningful, measurable business outcomes • High visibility with leadership and measurable business outcomes • measurable business outcomes • Chance to build something foundational and long-term • foundational and long-term • READY TO SHAPE AI AT OCROLUS? • If you are looking to: • Build AI systems that are used at scale • used at scale • Drive real business impact • real business impact • Define how a company competes using AI • competes using AI • Life at Ocrolus • Life at Ocrolus • We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. • Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence • Our culture is grounded in four core values: • Empathy – • Curiosity – • Humility – • Ownership – • We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. • We look forward to building the future of lending together.

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