Senior Python AI Engineer

We are building a team around a Senior Python AI Engineer to ship production-ready intelligent applications that tackle business goals and deliver value to end users. You will work with multi-agent orchestration, MCP, and RAG while strengthening evaluation, observability, and security across deployments—apply today.

Responsibilities

• Design and build scalable software solutions powering intelligent, data-driven applications
• Turn complex technical concepts into practical systems that support organizational goals
• Collaborate across functions to define technical requirements and deliver high-quality solutions
• Write clean, maintainable, well-documented code following industry best practices
• Troubleshoot and resolve technical issues throughout the software development lifecycle
• Take part in code reviews and provide constructive feedback to fellow engineers
• Research and evaluate emerging technologies to suggest improvements to existing systems
• Contribute to architectural decisions shaping the long-term technical direction of projects
• Mentor junior team members and share technical knowledge across the organization
• Ensure solutions are designed for scalability, performance, and maintainability

Requirements

• Hands-on Python software engineering experience of 3+ years with a history of designing, building, and operating reliable Artificial Intelligence systems and intelligent applications in production environments
• Deep expertise in architecting and implementing stateful multi-agent workflows, autonomous agentic systems, and multi-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and the AWS Strands Agents SDK
• Practical experience working on Model Context Protocol (MCP) integrations
• Hands-on skill with building and maintaining Retrieval-Augmented Generation (RAG) pipelines
• Strong prompt engineering ability to optimize interactions with language models
• Experience implementing guardrails to keep AI systems safe and controlled
• Familiarity with knowledge graphs and their application within AI-driven systems
• Experience integrating foundation models through AWS Bedrock and GCP Vertex AI
• Ability to ensure strong evaluation, observability, and security practices across production AI deployments
• Decent communication skills with working English fluency (B2 level or higher) to understand business requirements and translate them into agentic architectures