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