AI Engineer

Patlytics • New York, NY

18h • Hybrid

About The Position

Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engine—custom-built for intellectual property—power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed. Fresh off our $40M Series B — led by SignalFire , with participation from N47 , Myriad Venture Partners , Liquid 2 Ventures , BAM Corner Point , Alumni Ventures , Antiportfolio Ventures and Relativity - allows us to triple down on the product, accelerate growth globally, hire future mission-aligned colleagues, and to continue redefining what is possible for our customers. — we're scaling fast across product, engineering, and go-to-market. If you want to build at the inflection point, this is it. With teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AI-powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas. We hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply. As an AI Engineer, you’ll develop and deploy robust, scalable AI/ML algorithms for cutting-edge IP applications.

Requirements

• You've shipped LLM-powered features that real users depend on, not just demos or side projects.
• You have a track record of turning prototype prompts into production pipelines with monitoring and fallbacks
• You think in evals first. Before writing a prompt, you ask 'how will we know if this is better?' and you build the scaffolding to answer that question rigorously
• You're comfortable with ambiguity at the model layer. You know that Claude, GPT, and Gemini make different tradeoffs, and you've developed intuition for when to switch, fine-tune, or route between them
• You write solid Python and have enough backend instincts to own a service end-to-end: API design, data pipelines, async processing, and observability
• You can read a patent claim and not immediately give up. You're curious about domain knowledge and willing to become a genuine expert in IP reasoning over time
• You have a strong technical background building ML & AI pipelines
• You have great understanding of ML methods and statistics, including ML project lifecycle and associated challenges at each stage of development
• Experience deploying, monitoring and maintaining data science products in cloud environments such as AWS and GCP.
• Solid understanding of data transformations and analytics functions using tools/languages like (Pandas, Sklearn, SQL, Spark, etc.)
• Familiarity with database modeling, data warehousing principles and SQL

Responsibilities

• Develop and deploy robust, scalable AI/ML algorithms for cutting-edge IP applications
• Design, implement, and iterate on multi-step LLM pipelines for patent claim analysis, infringement detection, and prior art search, including the model selection, prompt architecture, and structured output contracts that define product quality
• Build and maintain a rigorous evals framework: define success metrics per pipeline stage, curate golden datasets from real IP cases, and run continuous regression testing to catch degradation before users do
• Develop retrieval systems (vector search, BM25 hybrids, re-ranking) optimized for patent corpus characteristics, long documents, technical claim language, biological sequence identifiers
• Architect and ship agentic workflows within our Agent layer, coordinating tool use, memory, and multi-turn reasoning over complex IP research tasks
• Develop data classification techniques and post-training on the latest LLMs
• Collaborate with patent attorneys and domain experts to encode expert judgment into prompts, rubrics, and fine-tuning datasets, then measure whether it worked
• Own cost, latency, and quality tradeoffs for production inference: prompt caching strategies, context window management, batching, and model migration planning on AWS, GCP and other LLM providers.
• Partner with a highly talented cross functional group of researchers, applied scientists, engineers, and product managers to build and evolve the (your company’s platform, product, solution, etc.)
• Work with large, complex data sets, solve difficult, non-routine analysis problems, and apply advanced analytical methods as needed
• Partner with the Leadership Team to align development strategies with key product requirements and long-term technical roadmap
• Build tools to monitor data pipeline performance, data quality and models in production
• Perform unit testing, profiling, and parameter tuning
• Collaborate with data engineers & platform team to implement data pipelines and robust production real-time and batch decisioning solutions
• Lead ongoing R&D of new technologies, data sources and data science & optimization tools
• Improve existing machine learning methodologies by developing new sources and testing enhancements, running computational experiments, and fine-tuning parameters

Benefits

• Comprehensive health coverage – Medical, dental, vision, plus FSA, commuter benefits, and health advocacy through Rightway
• Mental health & wellness support – Access to Spring Health and Headspace, plus "Mental Escape Days" to recharge when you need it
• Immediate 401(k) enrollment – No waiting period to start saving for your future
• Generous time off – Unlimited PTO, 12 paid company holidays, plus a full week off during our Holiday Break
• Family-first policies – Paid parental leave to support you during life's biggest moments
• Invest in yourself – Professional development budget, gym membership stipend, and learning opportunities
• Celebrate what matters – Birthday and work anniversary recognition, plus generous employee referral bonuses
• Hybrid work environment (open to remote pending location), while staying connected with a passionate and talented team

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed