NLPatent

About the Company

NLPatent is redefining patent research and intelligence with AI that understands complex patent language, delivering pinpoint-relevant results across global filings and NPL, and transforming static documents into interactive insights. Powered by proprietary, domain-trained large language models, the platform enables fast, relevance-ranked search, structured insights, and dependable results. Trusted by Fortune 500 companies, Am Law 100 firms, and leading research universities, NLPatent delivers the accuracy and transparency required for high-stakes patent workflows. Our mission is simple: give professionals the clarity they need to work smarter, faster, and with greater confidence. The platform supports the full patent workflow through three modules: Search & Ask NLPatent: Run plain-English or patent number searches with instant, explainable results; filter by key parameters, and use Ask NLPaten (or Bulk Ask) for summaries, feature extraction, novelty insights, and deeper context across entire result sets. Monitor: Track new filings by semantic relevance with adjustable sensitivity, and stay updated on prosecution developments through real-time file-wrapper insights. Visualize: Turn search results or custom patent lists into interactive landscapes organized by AI-generated topic clusters to uncover whitespace and spot opportunities instantly. NLPatent consistently delivers meaningful efficiency gains, including ~90% time savings per project and 3.5+ hours saved per research task. For teams building internal tools, the NLPatent API provides secure, scalable access to our models for seamless integration into existing systems and workflows. Built by patent professionals for patent professionals, NLPatent blends the speed of AI with the precision the IP field demands, helping teams modernize their approach to patent intelligence with technology engineered for trust.

Listed Jobs

Company Name

NLPatent

Job Title

Product Owner

Job Description

Job title: Product Owner Role Summary: Lead product strategy and execution for next‑generation patent research tooling. Collaborate with engineering, data science, and UX teams to translate deep patent domain knowledge into actionable product backlogs, ensuring timely delivery of user‑centric IP software. Expactations: - Drive the vision, roadmap, and prioritization of features that address patent professionals’ pain points. - Own the product backlog, refine user stories, and set acceptance criteria aligned with legal and technical requirements. - Serve as the bridge between IP stakeholders, engineering, and data teams, maintaining clear communication and alignment. Key Responsibilities: - Define and regularly update the product roadmap based on market research, user feedback, and business goals. - Prioritize backlog items, balancing business value, technical feasibility, and regulatory constraints. - Collaborate with engineering to refine specs, conduct sprint planning, and ensure quality releases. - Translate patent industry best practices into functional requirements for IP tooling and LLM integration. - Validate product increments against stakeholder expectations and IP compliance standards. - Monitor key metrics, gather insights, and iterate product features to enhance user adoption and satisfaction. - Champion prompt engineering for LLM‑based systems, ensuring robust, accurate output for patent research workflows. Required Skills: - Proven experience (3+ years) as a patent attorney, examiner, or patent knowledge professional. - Deep understanding of patent workflows, legal standards, and IP software ecosystems. - Familiarity with the software development lifecycle, agile practices, and backlog management. - Practical experience with prompt engineering and large language model (LLM) integration in product features. - Strong stakeholder management, communication, and cross‑functional collaboration skills. - Analytical mindset for translating domain expertise into clear product requirements. Required Education & Certifications: - Juris Doctor (JD) or equivalent law degree with specialization in intellectual property, **or** - Certified patent attorney/examiner designation, **or** - Relevant professional certification in intellectual property (e.g., Certified Patent Professional).

Toronto, Canada

Hybrid

05-01-2026

Company Name

NLPatent

Job Title

Backend Software Engineer (Python)

Job Description

Job Title: Backend Software Engineer (Python) Role Summary: Design, develop, and maintain the core backend services of an AI‑first patent research platform. Work closely with the CTO and senior engineers to build scalable, Docker‑based RESTful APIs using Python and Django, integrated with relational databases and optional NLP/LLM components. Expectations: - 2+ years of commercial software engineering experience. - Deliver clean, well‑documented, and test‑covered code on a regular schedule. - Collaborate in an agile environment and participate in code reviews. - Show willingness to work 3 days per week onsite. Key Responsibilities: - Architect and implement scalable, containerized backend services in Python/Django. - Model and manage relational database schemas and write efficient queries. - Build and maintain CI/CD pipelines and Docker images for deployment. - Design and expose RESTful APIs, ensuring proper authentication, authorization, and versioning. - Write unit, integration, and end‑to‑end tests; enforce code quality standards. - Integrate with external NLP/LLM services or build semantic search components when required. - Monitor application health and performance, troubleshoot production incidents. - Collaborate with frontend developers (React) and data engineers on feature delivery. - Maintain up‑to‑date documentation for code, APIs, and deployment procedures. Required Skills: - Proficient in Python and Django web development. - Experience with Docker and building containerized applications. - Strong knowledge of relational databases (PostgreSQL/MySQL). - Version control expertise with Git. - Familiarity with RESTful API design and best practices. - Basic proficiency in AWS services (EC2, RDS, S3, Lambda) is a plus. - Exposure to Elasticsearch or OpenSearch is a plus. - Bonus: experience with NLP/semantic search, LLM integration, and React frontend development. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).

London, United kingdom

Hybrid

Junior

21-01-2026