Patlytics
AI Engineer
3w ago
USARemotellmgenerative ai
AI Engineer at Patlytics working on AI-powered patent intelligence platform.
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
- If you don’t meet 100% of the above qualifications, you should still consider applying. Studies show that you can still be considered for a role if you meet just 50% of the position’s requirements.
Conditions
- 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
Other
- 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.
- 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
- That said, these responsibilities are just the beginning! As we continue to grow, we encourage you to contribute wherever you observe opportunities in the business that align with your interests.