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