Vertical AI · Legal AI for personal injury claims
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.
Currently tracking 9 active AI roles, up 133% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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 |
| 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 |
| 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 |
| Senior Backend Engineer, Growth & Agents Senior Backend Engineer for a Growth & Agents team focused on building the next generation of AI-powered customer communication systems, including AI outreach agents and communication workflows across email, SMS, and voice. | Agent | 7 |
| 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 |
| 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 |
| Senior Software Engineer, DocGen Senior Software Engineer focused on enhancing AI-native document generation workflows, integrating LLMs with existing SaaS systems, and shipping production-ready solutions. The role involves building and maintaining systems for evaluating AI performance and establishing best practices for AI-powered features in the legal tech domain. | Agent | 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 |