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 |
| 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 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 |
| 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 |
| 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 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 |