EvenUp
Vertical AI · Legal AI for personal injury claims
Vertical AI · Legal AI for personal injury claims
Currently tracking 9 active AI roles, up 133% versus the prior 4 weeks. Primary focus: Agent · Engineering.
EvenUp currently has 13 active AI-related job listings. The company is primarily hiring for roles related to agents and serving infrastructure, each accounting for 31% of their active AI positions. Engineering is the most frequent function with 8 roles, and the United States is the top hiring country with 8 roles. Their technical focus appears to be on model serving, agent orchestration, and RAG. Over the last 30 days, EvenUp has not posted any new AI roles, representing a 100% decrease compared to the previous 30-day period.
EvenUp currently has 15 active AI-related roles in our index. The most common open titles are: Senior Backend Engineer, Growth & Agents (2), Senior Frontend Engineer, Growth & Agents (2), Engineering Manager, AI DocGen, Product Solutions Associate, Senior Backend Engineer, AI Platform. Most positions are in Engineering and Product.
EvenUp's active AI hiring is concentrated in: agents (60%), serving infrastructure (27%), application (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
EvenUp is hiring AI talent in: United States (10 roles), Canada (5 roles).
Job postings at EvenUp most frequently mention: Large Language Models (LLMs), System Design, Product Management, Distributed Systems, Search Engines.
In the past 30 days, EvenUp has posted 6 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer Staff Machine Learning Engineer at EvenUp, a fast-growing vertical SaaS company using AI to close the justice gap. This role involves setting technical direction for the Piai™ platform, shaping modeling strategy, and building production systems. Responsibilities include tackling complex modeling problems, applying advanced ML techniques, establishing evaluation standards, driving data excellence, and providing technical leadership and mentorship. Requires 7+ years of ML engineering experience with production-shipped models and deep expertise in ML/NLP, particularly LLMs. | AgentPost-train | 9 |
| Staff Machine Learning Engineer - LLMs & Document AI Staff Machine Learning Engineer focused on building and deploying advanced Document AI models and LLM fine-tuning for a legal tech SaaS company. The role involves solving complex modeling challenges, establishing evaluation standards, and providing technical leadership. |
| Post-trainAgent |
| 9 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer to build and deploy production ML systems for a legal tech platform, focusing on NLP, information retrieval, and generative AI, covering the full ML lifecycle from data to deployment and monitoring. | AgentServe | 8 |
| Senior/Staff Product Manager - AI Orchestration & Agentic Workflows Product Manager to lead the development of an AI orchestration layer for agentic workflows in legal tech, focusing on AI playbooks, smart workflows, context systems, and evaluation frameworks. | Agent | 8 |
| Senior Machine Learning Engineering Manager Senior Machine Learning Engineering Manager to build and lead a new Machine Learning and Generative AI function, focusing on high-visibility, high-impact generative AI products including Document Generation, Knowledge Bases, and Agentic Systems. The role involves hiring, mentoring, setting vision and culture, designing roadmaps, providing technical leadership, and delivering product outcomes. | ShipAgent | 8 |
| Staff Machine Learning Engineer - Systems Staff Machine Learning Engineer to lead the design and architecture of high-impact generative AI products, focusing on RAG, vector search, and fine-tuning frameworks for a proprietary claims-intelligence platform. The role involves defining technical strategy, providing hands-on leadership, collaborating cross-functionally, driving innovation in semantic search and evaluation, and mentoring an ML team. | AgentServe | 8 |
| Senior Machine Learning Engineer - Systems Senior Machine Learning Engineer to develop and deploy end-to-end ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning pipelines, integrating structured, unstructured, and embeddings-based data. The role involves building frameworks for data extraction, evaluation, and benchmarking of LLMs, translating business problems into ML system designs, and researching state-of-the-art techniques in semantic search and prompt engineering. Responsibilities include implementing evaluation strategies, ensuring scalability of embedding generation and retrieval pipelines, and integrating ML frameworks into production. | AgentData | 8 |
| AI Product Manager AI Product Manager to lead the development of core models for entity extraction and linking in legal and medical domains. Responsibilities include roadmap ownership, prompt engineering, building evaluation frameworks, managing the end-to-end model lifecycle, balancing technical trade-offs, and researching emerging techniques. Requires 5+ years of experience in AI modeling or data science products, with deep understanding of LLMs, evals, RAG, agentic orchestration, and ML. | Post-trainAgent | 8 |
| Senior Backend Engineer, Growth & Agents Senior Backend Engineer role focused on building AI-powered customer communication systems, including AI outreach agents and communication workflows, with a focus on backend features, services, and low-latency, high-performance needs. | AgentServe | 7 |
| Chief of Staff to CPO/CLO Chief of Staff to CPO/CLO at a fast-growing vertical SaaS company focused on closing the justice gap. The role involves partnering with executives, leading analysis, preparing executive materials, driving cross-functional execution, and building/implementing AI-enabled workflows and operational tooling, including agents and chatbot systems. | Agent | 7 |
| Senior Product Manager, Document Generation The Senior Product Manager, Document Generation will own the product lifecycle for EvenUp's document generation suite, focusing on AI-powered workflows for legal teams. This role requires shipping B2B SaaS products, understanding LLMs in practice, and collaborating with engineering and ML teams to build reliable and accurate AI features. | Ship | 7 |
| Engineering Manager, AI DocGen Engineering Manager for AI DocGen team at EvenUp, a fast-growing vertical SaaS company focused on personal injury law. The role involves leading a team to build and scale AI-native document generation workflows, including LLM-based systems, and balancing strategic leadership with hands-on technical contribution. The focus is on delivering customer-centric solutions and ensuring engineering excellence in a regulated environment. | Agent | 7 |
| Director of Product Director of Product role at EvenUp, a vertical SaaS company focused on the legal industry, to shape the future of their platform and drive AI product strategy. The role involves leading a team of product managers, collaborating cross-functionally, and focusing on launching AI products. Requires deep, hands-on experience shipping AI/ML products, understanding LLMs, prompt engineering, and generative systems. | Ship | 7 |
| Forward Deployed AI Strategist This role is for a Forward Deployed AI Strategist at EvenUp, a vertical SaaS company focused on AI for personal injury law. The role involves embedding with clients to prototype solutions, tune retrieval, design pipelines, and solve complex customer problems using EvenUp's multi-model AI platform. It requires technical capability, curiosity, and a desire for hands-on experience with generative AI, with a focus on driving revenue and product direction. | AgentData | 7 |
| Senior Backend Engineer, Entities This role focuses on building and optimizing backend systems and infrastructure for deploying LLM-based algorithms and services within the AI Platform team. It involves end-to-end ownership of projects, cross-team enablement, and ensuring reliability, observability, and performance of AI-powered systems. The role operates at the intersection of backend engineering, LLM integration, and experimentation, aiming to make LLMs more accessible, scalable, and impactful across the engineering organization. | ServeAgent | 7 |