Senior AI Development Engineer

Job Description

Responsibilities and Duties :

AI Product Strategy & Roadmap :

– Define and own the AI product vision and roadmap, aligned with Lumenci’s business objectives and client needs

– Identify high-impact opportunities for applying AI/LLMs across patent analysis, prior art mapping, claim generation, and IP workflow automation

– Evaluate build vs. partner decisions for AI capabilities; assess and integrate third-party AI tools where appropriate

– Translate complex AI capabilities into clear product value for enterprise clients and internal stakeholders

Architecture & Technical Leadership :

– Lead the design of scalable, production-grade AI systems including LLM pipelines, RAG architectures, agentic workflows, and evaluation frameworks

– Define technical standards for AI reliability, latency, accuracy, and safety in a legal/IP context

– Drive decisions on model selection, fine-tuning, prompt engineering, and inference optimization

– Establish robust evaluation and monitoring frameworks to track agent performance in production

End-to-End Product Execution :

– Lead cross-functional squads from problem definition to production deployment

– Champion adoption of AI-led workflows across client projects and internal teams by defining use cases, piloting solutions, training users, and continuously iterating based on real-world feedback and performance data

– Write clear PRDs, epics, technical specifications, and acceptance criteria that engineering teams can act on immediately

– Maintain delivery momentum across internal engineers, AI researchers, and external partners

– Apply structured problem-solving (root-cause analysis, 5 Whys) to diagnose failure modes in AI systems and product gaps

Stakeholder Management & Communication :

– Act as the primary AI product voice with senior leadership, enterprise clients, and cross-functional teams

– Communicate trade-offs, progress, and risks clearly both written and verbal at all levels of the organization

– Build alignment between strategic OKRs and day-to-day execution priorities

Education and Experience :

Experience & Background :

– 7-10 years of experience in AI product management, AI engineering, or applied AI roles

– Demonstrated track record of building and shipping enterprise-grade AI products either at a startup (0-1 ownership) or within a large enterprise (meaningful AI initiatives at scale)

– Experience working with or leading cross-functional teams (engineering, product, domain experts, data science)

Are you interested in this position?

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