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 - 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 |
| 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 |