Senior AI Engineer
Company Description
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
Job Description
We are looking for a highly skilled, hands-on Senior AI Engineer with Python, LangGraph & LangChain to join our client's enterprise AI initiative. You will work closely with the existing engineering team to enhance a centralized AI orchestration platform that supports intelligent workflows, AI-powered chat and proactive assistance across multiple business use cases. This role suits an engineer with strong practical experience in Python, LangGraph and LangChain, and a solid understanding of agentic AI architectures, integration patterns and AI observability. You will contribute directly to design, development, integration and delivery to accelerate the platform roadmap. Responsibilities: - Develop and enhance AI agents and orchestration capabilities using Python, LangGraph and LangChain. - Build and extend AI-enabled guided workflows within the platform. - Contribute to the development of conversational AI and chat-based experiences. - Implement agent planning, orchestration, tool invocation and response-synthesis capabilities. - Integrate AI agents with enterprise backend systems and services. - Support integration patterns using the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. - Work with AI observability and telemetry capabilities, including Arize. - Collaborate closely with existing engineers and subject-matter experts to accelerate core platform development and business use case delivery. - Troubleshoot technical issues, improve solution reliability and support continuous enhancement of AI capabilities. Qualifications: - Strong hands-on Python programming and application development experience. - Practical experience with LangGraph, building agent workflows, stateful orchestration and AI-driven execution flows. - Experience developing LLM-powered applications with LangChain, including integrating tools and