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