AI Engineer - Lead Software Engineer

What you'll do

• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, and prompt management.
• Engineer cloud-native AI services on AWS using containers, serverless patterns, and distributed data stores.
• Optimize platform performance across latency, throughput, scalability, caching, and cost controls.
• Build well-governed APIs that connect AI capabilities to enterprise platforms and business processes.
• Establish evaluation, experimentation, regression testing, and observability frameworks to improve agent behavior.
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.

What we're looking for

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Experience architecting and shipping production large language model applications, including agentic workflows and tool integration patterns.
• Strong software engineering fundamentals to deliver cloud-native services using containers and serverless designs on AWS.
• Proficiency designing distributed systems with asynchronous workflows, durable messaging, and scalable data access patterns.
• Experience building retrieval-augmented generation solutions and managing prompt lifecycle/versioning.
• Demonstrated ability to implement evaluation and monitoring approaches for model quality, reliability, and safe behavior.
• Strong API design skills, including secure integration patterns and reusable platform capability development.
• Proven technical leadership skills, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders.