Senior Python AI Engineer

We are creating intelligent Python applications by combining multi-agent orchestration, RAG pipelines, and strong guardrails for safe production behavior. You will integrate MCP, connect foundation models through AWS Bedrock and GCP Vertex AI, and keep evaluation, observability, and security front and center. Submit your application to help shape our next generation of AI systems.

Responsibilities

• Plan and implement scalable software systems that support data-driven intelligent applications
• Transform complex technical concepts into real solutions that align with company objectives
• Partner with cross-discipline teams to define technical requirements and deliver excellent results
• Produce maintainable, well-documented code that aligns with industry standards
• Resolve technical obstacles across the entire software development lifecycle
• Review code with peers and provide helpful, actionable feedback
• Assess emerging technologies and recommend enhancements to existing infrastructure
• Help steer architectural decisions that set the long-term technical direction of initiatives
• Support junior engineers through mentoring and knowledge sharing across the team
• Deliver solutions that emphasize scalability, strong performance, and long-term maintainability

Requirements

• Solid experience of 3+ years in applied Python engineering, with a history of building, releasing, and maintaining dependable AI systems and intelligent applications in production
• Proven track record in designing and executing stateful multi-agent workflows, agentic systems, and multi-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and AWS Strands Agents SDK
• Practical experience delivering Model Context Protocol (MCP) integrations
• Strong background in building and maintaining Retrieval-Augmented Generation (RAG) pipeline systems
• Hands-on skill in prompt engineering to refine and improve language model interactions
• Demonstrated ability to set up guardrail mechanisms that ensure safe, controlled system behavior
• Working understanding of knowledge graphs and how they support AI-based solutions
• Experience connecting foundation models using cloud services such as AWS Bedrock and GCP Vertex AI
• Ability to maintain robust evaluation approaches, observability tooling, and security measures for production deployments
• Good communication abilities and functional English fluency (B2 level or above) to gather business requirements and translate them into agentic architecture designs