Applied AI System Engineer

Epiq is a company that focuses on complex, global legal outcomes and is seeking Applied AI Systems Engineers to enhance their AI-native systems. The role involves designing and building AI-driven solutions, integrating them into enterprise workflows, and delivering measurable business impact. Responsibilities Design and build AI‑native solutions that integrate frontier models, data pipelines, APIs, and enterprise content Rapidly prototype applied AI solutions and evolve them into production‑ready systems Build and connect retrieval systems, embedding pipelines, and structured/unstructured data flows Integrate AI capabilities into real workflows with measurable business impact Work across product, data, and engineering boundaries to identify and solve high‑leverage problems Challenge Assumptions: Speak up when an assumption is wrong, explain why, and be equally comfortable saying, “I was wrong, let’s adjust.” Skills 1–5+ years of experience in software engineering, applied AI, or data‑centric systems Experience using Python or TypeScript in building real systems that connect APIs and services Experience using Python or TypeScript in building real systems that connect databases and/or unstructured content Experience using Python or TypeScript in building real systems that connect data pipelines or ETL workflows Familiarity with modern AI/ML concepts, including LLMs, embeddings, and retrieval Comfort operating without perfect specs — you can identify problems, propose solutions, and ship Ability to distinguish demo‑quality work from production‑viable systems Experience with cloud platforms (AWS and/or Azure) Hands‑on work with retrieval‑augmented generation (RAG) or embedding pipelines Exposure to graph databases or complex data relationships Familiarity with frontier LLMs (e.g., Anthropic, OpenAI, etc.) A portfolio of personal or professional AI projects you can discuss deeply Company Overview Epiq Systems provides legal process outsourcing (LPO) services in the United States and internationally. It was founded in 1988, and is headquartered in Chicago, Illinois, USA, with a workforce of 5001-10000 employees. Its website is