Senior Python AI Engineer

We are advancing Python-based AI products by engineering secure, observable, and scalable agentic systems that solve real business problems. You will implement multi-agent orchestration with tools like LangChain and LangGraph, build RAG pipelines, and integrate MCP while leveraging AWS Bedrock and GCP Vertex AI. Join the team and apply now to deliver robust AI capabilities into production.

Responsibilities

• Architect and deliver scalable systems that enable data-driven intelligent applications
• Convert sophisticated technical ideas into working implementations that match organizational objectives
• Coordinate with multidisciplinary teams to clarify technical needs and achieve strong delivery outcomes
• Develop readable, maintainable code that follows industry conventions and is properly documented
• Diagnose and address technical problems throughout the full software development lifecycle
• Conduct peer code reviews and offer clear, actionable suggestions to improve quality
• Explore new technology trends and propose upgrades to current infrastructure
• Contribute to architectural planning that influences the future technical roadmap
• Coach less experienced engineers and spread technical expertise across the team
• Validate that solutions meet scalability, performance, and long-term maintainability expectations

Requirements

• Hands-on experience of 3+ years in Python engineering, with evidence of creating, deploying, and operating reliable AI systems and smart applications in production environments
• Advanced know-how in building stateful multi-agent processes, autonomous agentic systems, and cross-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and AWS Strands Agents SDK
• Real-world exposure to Model Context Protocol (MCP) integration efforts
• Demonstrated ability to develop and sustain Retrieval-Augmented Generation (RAG) pipeline solutions
• Strong command of prompt engineering to optimize communication with language models
• Experience implementing guardrails that enforce safe and controlled AI behavior
• Knowledge of knowledge graphs and their application in AI solution design
• Experience integrating foundation models via cloud services including AWS Bedrock and GCP Vertex AI
• Capability to uphold evaluation discipline, observability practices, and security safeguards in production AI systems
• Effective communication skills plus functional English fluency (B2 level or above) to understand business needs and translate them into agentic architecture designs