AI/ML Engineer – RAG, API Pipelines
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Job Description
Senior AI/ML Engineer specializing in API and RAG systems. Collaborating with Data Engineers to build AI features from raw data lakes.
Responsibilities:
- Act as the bridge between data infrastructure and customer-facing AI products.
- Specialize in building low-latency API layers, production-grade RAG systems, complex ingestion pipelines, and Human-in-the-Loop workflows.
- Work alongside Data Engineers to turn raw data lakes into live AI features.
Requirements:
- Overall Experience: 7+ years in Backend Software Engineering and AI Application Engineering, including exposure to Distributed Systems
- AI & RAG Integration: 2+ years engineering production-grade RAG pipelines, managing vector retrieval context, and implementing secure validation layers for LLMs
- Prototyping & Collaboration: proven track record working synchronously with Data Engineers to rapidly turn raw data lakes and streams into production-ready AI feature prototypes
- Proficiency in Advanced API Design & GraphQL Architecture
- Proficiency in RAG, Data Flows & Ingestion Pipelines
- Proficiency in State Management & Human-in-the-Loop (HITL) Automation
- Production fluency in Python
- Working knowledge of C# (.NET Core), Java, or Node.js/TypeScript for enterprise ingestion systems
Benefits:
- Remote work.
- 13 floating holiday.
- 15 vacation days per year completed.
- Good working environment.
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