Senior Python AI Engineer

We are seeking a Senior Python AI Engineer to deliver robust AI-powered applications that address business needs and create measurable end-user impact. You will implement multi-agent orchestration, MCP integrations, and RAG pipelines while enforcing evaluation, observability, and security in production—apply today.

Responsibilities

• Build scalable software solutions that enable intelligent, data-driven applications
• Convert complex technical ideas into working systems that support organizational objectives
• Partner with cross-functional teams to define technical requirements and deliver high-quality outcomes
• Produce clean, maintainable, and well-documented code using industry best practices
• Diagnose and fix technical issues throughout the software development lifecycle
• Participate in code reviews and offer actionable feedback to peers
• Evaluate emerging technologies and propose upgrades to existing systems
• Shape architectural decisions that influence the long-term technical direction of projects
• Coach junior team members and share technical expertise across the organization
• Optimize solutions for scalability, performance, and long-term maintainability

Requirements

• Proven 3+ years of hands-on Python software engineering experience designing, building, and operating dependable Artificial Intelligence systems and intelligent applications in live production
• Deep understanding of architecting and implementing stateful multi-agent workflows, autonomous agentic systems, and multi-agent orchestration with LangChain, LangGraph, CrewAI, Google ADK, and the AWS Strands Agents SDK
• Practical exposure to Model Context Protocol (MCP) integrations
• Demonstrated ability to build and maintain Retrieval-Augmented Generation (RAG) pipelines
• Solid prompt engineering skills to optimize language model interactions
• Track record of implementing guardrails for safe and controlled AI system behavior
• Working knowledge of knowledge graphs and their use in AI-driven systems
• Hands-on experience integrating foundation models through AWS Bedrock and GCP Vertex AI
• Strong capability to ensure evaluation, observability, and security practices for production AI deployments
• Decent communication skills with working English fluency (B2 level or higher) to understand business requirements and map them to agentic architectures