Patlytics
AI Engineer
New York +1 · Hybrid · Full-time · Posted Jun 17, 2026
- Location
- New York
Toronto
About the job
Build and operate production AI/ML systems for patent analysis, search, infringement detection, and complex IP research workflows.
What you'll do
- Develop multi-step LLM pipelines, retrieval systems, and agentic workflows for patent-related tasks.
- Build evaluation frameworks with success metrics, curated datasets, and continuous regression testing.
- Deploy and monitor production AI services, balancing quality, cost, and latency across cloud and LLM providers.
What they ask for
- Track record shipping LLM-powered features used by real users, including production pipelines with monitoring and fallbacks.
- Strong Python skills and backend capability across API design, data pipelines, asynchronous processing, and observability.
- Strong technical background in ML/AI pipelines and understanding of ML methods, statistics, and the ML project lifecycle.
- Experience deploying, monitoring, and maintaining data science products in cloud environments such as AWS and GCP.
Nice to have
- Experience with data transformation and analytics tools/languages such as Pandas, Sklearn, SQL, or Spark.
- Familiarity with database modeling and data warehousing principles.
Tools
Python, AWS, GCP, Pandas, Sklearn, SQL, Spark, BM25
AI focus
Develop and deploy LLM/ML systems for patent intelligence, including claim analysis, infringement detection, prior-art search, retrieval, agentic workflows, data classification, post-training, and rigorous evaluation.
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