AI Engineer

AI Engineer/Sr data scientist

Location: Santa Clara, CA (hybrid- work from office)

Job: Longterm Contract

Exp: 15+

Top 3 skills to be looking for: Production Agentic AI solution, multi-Agents experience , Lang Graph

Job Description

• Design, build, and maintain data pipelines and integrations leveraging PostgreSQL Server and Snowflake for downstream AI and analytics use cases.

• Own the end-to-end LLM application lifecycle — from prompt engineering and retrieval workflow design through evaluation, observability, security, and performance tuning.

• Design and implement a production-grade, enterprise-class multi-agent framework that is reliable, scalable, and maintainable in live environments.

• Architect and deploy multi-agent, enterprise-class AI/agentic solutions on the Azure platform, aligning with Azure-native services and best practices.

• Collaborate with cross-functional stakeholders to translate business requirements into robust, enterprise-class, production-ready AI system designs.

• Ensure multi-agent LLM systems meet performance, security, and observability standards before and after deployment.

• Communicate technical decisions and trade-offs clearly to both technical and non-technical partners.

Roles & Responsibilities

• Demonstrated, hands-on experience designing, building, and deploying a production-grade, enterprise-class multi-agent framework in real-world systems.

• Strong, hands-on experience with PostgreSQL Server and Snowflake, including schema design, query optimization, and data integration.

• Solid understanding of the LLM application lifecycle: prompt engineering, retrieval-augmented workflows, evaluation methodologies, observability tooling, security considerations, and performance optimization.

• Required hands-on experience with the Azure platform for building and deploying multi-agent, enterprise-class AI/agentic solutions.

• Strong grasp of multi-agent architecture patterns (orchestration, coordination, agent-to-agent communication) at enterprise scale.

• Ability to take ambiguous requirements through to delivered, production-ready, enterprise-class outcomes with minimal hand-holding.

• Strong communication skills, with the ability to explain complex multi-agent system behavior to varied audiences.