AI Engineer – Agentic Data Platform designs, builds, and deploys autonomous AI agents that reason, plan, and execute tasks using LLMs, multi-agent frameworks, and enterprise data pipelines — transforming complex business operations into intelligent, self-directed, and scalable automated workflows.
- Architect and build autonomous multi-agent AI systems at scale.
- Integrate LLMs and agentic frameworks into enterprise data platforms.
- Design and optimize data pipelines for AI agent consumption and retrieval.
- Develop evaluation frameworks to monitor agent accuracy and performance.
- Implement guardrails for safety, compliance, and production-grade reliability.
- Collaborate with data scientists, engineers, and business stakeholders cross-functionally.
- Research and prototype emerging agentic AI models, tools, and frameworks.
- Translate complex business challenges into autonomous AI-native solution designs.
- Proficiency in Python with LangChain, LangGraph, or similar orchestration tools.
- Strong knowledge of LLMs, prompt engineering, and AI agent design patterns.
- Experience with cloud platforms including AWS, GCP Vertex AI, or Azure.
- Solid understanding of vector databases, RAG pipelines, and knowledge graphs.
- Familiarity with MLOps, CI/CD, and agent observability and monitoring tools.
- Strong problem-solving, analytical thinking, and effective cross-functional communication.
Note: Salary depends on experience and skills and is paid in local currency.
Date Posted
March 26, 2026
Offered Salary:
3461238 - 4012509 / year
Expiration date
November 20, 2028
Qualification
Bachelor Degree