Lumenci is building and scaling an agentic AI platform (Lumenci AI) with a suite of enterprise-grade B2B products focused on patent analysis, IP strategy, and legal workflows. As we move from early builds to production at scale, we are looking for a seasoned Senior AI Development Engineer to anchor this journey someone who has built AI-powered products end-to-end, either at a startup (01 ownership) or within a large enterprise where they owned meaningful AI initiatives. This role sits at the intersection of large language models, enterprise product development, and complex legal-IP domain knowledge, and is ideal for someone ready to own both strategy and execution in a high-impact environment.
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
- ranslate 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
- 710 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 (01 ownership) or within a large enterprise (meaningful AI initiatives at scale)
- Deep hands-on experience with LLMs in production: prompt engineering, RAG pipelines, agentic frameworks, hallucination mitigation, and latency management
- Experience working with or leading cross-functional teams (engineering, product, domain experts, data science)
- Technical Depth
- Strong understanding of AI/ML system design model selection, fine-tuning, vector search, embedding models, inference optimization
- Proficiency with LLM frameworks and tooling (e.g., LangChain, LlamaIndex, OpenAI APIs, HuggingFace, or equivalent)
- Ability to evaluate LLM output quality using automated metrics (precision, recall, BLEU, ROUGE) and human-in-the-loop evaluation
- Comfortable working closely with code prototyping workflows, reviewing architecture, or building high-grade prototypes independently
- Product & Leadership Skills
- Strong product instincts: ability to move from ambiguous problem to structured roadmap to shipped feature
- Experience working in Agile/Lean environments; comfortable leading as a Scrum Master or product owner
- Excellent communication and stakeholder management; able to simplify complexity for non-technical audiences
- High ownership mindset equally comfortable setting strategy and rolling up sleeves to execute
- Startup Mindset
- Thrives in lean, high-ownership environments with evolving priorities
- Comfortable wearing multiple hats and solving problems outside a traditional scope
- Energized by rapid learning curves and cross-functional collaboration
- Bias toward action ships incrementally rather than waiting for perfection
- Domain Knowledge (Nice to Have)
- Familiarity with intellectual property, patent law, or legal workflows
- Understanding of patent invalidation strategies (novelty, obviousness) and infringement analysis
- Background in legal tech, IP, or other specialized B2B domains
- Experience with multi-modal AI systems or document intelligence applications
Skills: huggingface,langfuse,gpt 4,cloud architect,rag,llamaindex,langchain,rag pipeline,agentic workflow,llm,prompt engineering,azure ai
