As an AI Engineer, you will be at the forefront of our innovation engine, architecting the next generation of intelligent agentic systems. This isn't just about prompt engineering; it’s about building scalable, production-ready Generative AI ecosystems that solve high-stakes business challenges.

Key Responsibilities

• Architect & Deploy: Design end-to-end GenAI solutions, specialized AI agents, and high-performance RAG pipelines.
• Lead Innovation: Rapidly build and validate Proof of Concepts (PoCs) to showcase the "art of the possible" to stakeholders.
• Consult & Collaborate: Partner with cross-functional teams and interface directly with clients to translate complex needs into tailored AI strategies.
• Research & Evaluate: Stay ahead of the curve by benchmarking emerging models, agentic frameworks, and dev kits.

The Profile

• The Experience: 3+ years of industry-hardened experience in Applied AI or Machine Learning.
• The Tech Stack: Expert-level command of agentic frameworks (LangGraph, Agno, Google ADK) and Vector Databases.
• Cloud Fluency: Deep familiarity with at least one major Hyperscaler (GCP, AWS, or Azure).
• Bonus Points: Proficiency with the Google Cloud AI stack (Vertex AI, Gemini), MLOps (Docker/K8s), and rigorous evaluation frameworks like RAGAs or LangSmith.
• AI agent building: know-how