Artificial Intelligence Engineer

Job Description

Your Tech Stack & Toolkit

• Languages: Expert-level Python and solid Postgres knowledge.
• AI/ML: Production-grade RAG, Vector Databases, and LLM frameworks (LangChain, LangGraph, etc.).
• Infrastructure: AWS (EKS, ECS, Bedrock), Docker, and Kubernetes.

What We Expect from You

• Proven experience deploying RAG (Retrieval-Augmented Generation) in production and working with Vector Databases.
• Expert-level Python proficiency and solid Postgres knowledge.
• Hands-on experience with AWS (EKS/ECS) and containerization via Docker & Kubernetes.
• Experience in a startup/scale-up environment where you owned architectural decisions and worked cross-functionally with product teams.

The Nice-to-Haves

• Domain Expertise: Background in Fintech or Insurance.
• Advanced AI: Experience with agent frameworks (LangGraph, CrewAI) or AWS Bedrock.
• Platform Building: Experience building internal AI platforms for enterprise B2B clients.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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