Note: The job is a remote job and is open to candidates in USA. Software Technology Inc. is seeking an AI Engineer/Senior Data Scientist to build and deploy production-grade, enterprise-class multi-agent AI solutions on Azure. The role also owns LLM application workflows and data pipelines, ensuring systems meet performance, security, and observability standards while collaborating with cross-functional stakeholders.
Responsibilities
- 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
Skills
- 15+
- 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
Benefits
- Remote work
Company Overview
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