Description

Design and deliver production-grade AI applications using cloud-native architectures.

This role is hybrid.

Responsibilities

• Build reusable AI frameworks for RAG, document processing, and agentic workflows.
• Integrate GenAI capabilities into enterprise platforms with strong engineering discipline.
• Mentor engineers and lead architecture reviews to ensure code quality and consistency.
• Own CI/CD pipelines, automated testing, and production observability.
• Partner with stakeholders to define requirements and deliver shippable milestones.

Required Skills

• 6+ years of experience building production full-stack systems at scale.
• Proficiency in Java and/or Python, using modern frameworks like Spring Boot.
• Hands-on experience with distributed, cloud-native architectures and event-driven systems.
• Applied GenAI expertise including RAG, LLM orchestration, and prompt design.
• Experience implementing evaluation frameworks, safety, and guardrails.
• Strong foundation in system design, scalability, security, and observability.
• Experience with CI/CD, automated testing, and telemetry tools.

Preferred Skills

• Public cloud experience, specifically Azure.
• Familiarity with vector databases, Kafka, or high-throughput messaging systems.

Key Skills

Education

Bachelor's degree