To apply, please email your resume to [email protected]

About the Role

Help us reshape how the world’s most innovative companies protect and commercialize their breakthrough ideas. Tradespace is building an AI-driven platform that transforms how teams manage their intellectual property—from discovery to drafting, prosecution, and licensing. If you’re passionate about leveraging cutting-edge AI technologies to solve real-world problems, we’d love to talk.

What You’ll Do

• Design & Implement Infrastructure: Build and optimize the systems that power our AI-driven platform, focusing on integrating and orchestrating existing LLMs and other third-party APIs at scale.
• Develop & Maintain AI Agents: Architect robust agent-like solutions that combine multiple AI services, orchestrate workflows, and deliver actionable insights and outputs for IP management.
• Optimize Model Consumption: Devise strategies for prompt engineering, context handling, rate limiting, caching, and overall performance tuning to ensure low-latency, high-accuracy interactions with external AI APIs.
• Collaborate & Communicate: Partner with product, engineering, and leadership teams to translate complex business requirements into scalable AI solutions. Provide clear updates and guidance to non-technical stakeholders.
• Research & Explore: Stay on top of the latest AI frameworks, API offerings, and best practices—especially related to LLM integration and multi-agent orchestration—bringing innovative ideas to the table.
• Scale & Monitor: Leverage MLOps and DevOps best practices to deploy, monitor, and manage robust AI services in production.

Who You Are

• Deep AI Integration Expertise: You have hands-on experience working with existing AI models via APIs (e.g., OpenAI, Hugging Face, or other commercial offerings) and understand the nuances of prompt engineering, context management, and agent-based workflows.
• Strong Software Engineering Fundamentals: You are proficient in Python (or a comparable language) and have a track record of designing secure, scalable RESTful or GraphQL APIs and microservices.
• Infrastructure & MLOps Savvy: You know how to build reliable pipelines for data ingestion, orchestration, and monitoring of AI-powered features. Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, GCP, Azure), and CI/CD pipelines is a plus.
• Performance-Driven: You understand performance tuning for AI APIs—whether it’s batch processing, caching, or load balancing—and you can ensure these systems run efficiently at scale.
• Problem Solver & Innovator: You enjoy exploring new approaches, identifying solutions, and optimizing every step to deliver robust, high-impact AI features
• Excellent Communicator: You can present complex technical concepts in plain language and thrive in cross-functional team environments.

Why Tradespace?

• High-Growth Environment: Join at a pivotal stage, where your work directly shapes a game-changing AI product that’s redefining an entire industry.