engineers and product to build secure and compliant AI systems Contribute to architectural decisions, internal tooling, and team best practices Experience & Qualifications: 4+ years of backend or AI-focused engineering experience Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.) Strong programming skills-Python preferred; experience with APIs and cloud infra is a plus Proven track … a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)-helpful but not required Interest in promptengineering, user intent modeling, or AI agent design What We Offer: A high-trust, high-impact environment with ownership over mission-critical AI systems Challenging product problems at More ❯
cross-functional teammates to ship fast, iterate, and make an impact. Key Responsibilities: Own end-to-end product features across frontend and backend Collaborate with design, product, and legal engineering to deliver polished, AI-native workflows Help architect and evolve our codebase for performance, scale, and developer experience Contribute to shaping engineering practices, tooling, and team culture Experience … of a company still forming its best practices-and you love helping define them. Bonus: Experience working on internal legal tools, legal ops software, or compliance platforms. Curiosity around promptengineering, user intent modeling, or AI reasoning is also a plus. More ❯
scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and promptengineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯
scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and promptengineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯
