Job Title: Data Engineer AI & Agentic Systems
Location: Sunnyvale, CA (Onsite)
Duration: 6 12+ Months
Primary Skills: Snowflake, SQL
Experience: AI integration, Agentic AI
Secondary Skill: Tableau
About the Role:
We are seeking a highly skilled Data Engineer with strong experience in AI integration and Agentic AI to build next-generation intelligent data systems. This role combines modern data engineering with AI/LLM orchestration and scalable distributed systems.
Key Responsibilities:
- Design and optimize large-scale data pipelines using Snowflake and SQL
- Integrate LLMs, RAG pipelines, and agentic workflows into data systems
- Build infrastructure for multi-agent orchestration, memory handling, and vector search
- Collaborate with AI/ML and engineering teams for end-to-end solutions
- Ensure scalable, secure, and high-performance data systems
- Support data ingestion and transformation for AI workflows
- Develop dashboards using Tableau (secondary)
Minimum Qualifications:
- Strong expertise in Snowflake & SQL
- Experience with AI/LLM systems and agentic frameworks (LangChain, LlamaIndex, etc.)
- Hands-on experience with RAG pipelines and vector databases (FAISS, Milvus, etc.)
- Strong Python programming skills
- Experience with distributed systems and ML data pipelines
Preferred Qualifications:
- Prior experience in large-scale enterprise environments
- Experience with agentic systems, A2A protocols, and context engineering
- Knowledge of vector search, feature stores, and ML pipelines
- Familiarity with cloud platforms (AWS, Google Cloud Platform) and tools like Kafka, Spark