We are looking for a Senior AI Solutions Engineer with strong Python expertise and hands-on experience building production-grade AI systems, intelligent automation platforms, and agent-based workflows.

The ideal candidate combines solid backend engineering skills with practical experience designing scalable AI architectures, integrating LLM-powered solutions, and deploying secure, reliable AI systems into real production environments.

This role requires a deep understanding of orchestration flows, memory and context management, tool integrations, and modern AI infrastructure, along with the ability to work independently in complex and fast-moving technical domains.

• Strong hands-on experience building production-ready AI systems and AI agents
• Deep expertise in Python
• Strong understanding of AI agent architecture, orchestration flows, memory, and guardrails
• Experience designing secure AI workflows with history, context management, and execution controls
• Experience integrating multiple APIs, external services, and complex workflows
• Strong understanding of scalable backend architecture and infrastructure
• Experience deploying and supporting AI systems in production environments
• Experience with CI/CD pipelines and operational reliability
• Familiarity with cloud-native deployments on AWS
• Experience with observability, monitoring, and evaluation of AI systems
• Experience with LLM-based systems and modern AI tooling ecosystems
• Experience with MCP (Model Context Protocol) or similar orchestration concepts is a plus
• Experience with AWS AgentCore is highly preferred
• Startup or innovation-focused engineering experience is a plus
• Strong communication and collaboration skills
• Ability to work independently and drive technical solutions in complex domains

• Design and implement production-grade AI solutions and agent-based systems
• Build scalable and secure AI workflows with memory, orchestration, and context management
• Integrate AI systems with multiple services and APIs across complex environments
• Design architectures for AI-driven interactions and workflow automation
• Deploy, maintain, and optimize AI systems in production
• Contribute to CI/CD automation and operational stability
• Collaborate with engineering and product stakeholders to define AI-driven solutions
• Research and evaluate emerging AI technologies and frameworks, including AWS AgentCore
• Ensure high-quality, maintainable, and secure implementations of AI-powered systems