Senior AI Engineer (with Python, LangGraph & LangChain)
Develop AI agents, orchestration, and conversational workflows for an enterprise AI platform, integrating Python, LangGraph, and LangChain with backend systems and observability tools.
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%.
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:
Nice to have:
We offer:
* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.
Develop AI agents, orchestration, and conversational workflows for an enterprise AI platform, integrating Python, LangGraph, and LangChain with backend systems and observability tools.
Develop and evolve generative AI applications and services using Python and LLMs, designing RAG solutions, integrating existing systems, and improving the scalability, reliability, and observability of AI products.
Designs and deploys production-grade generative AI systems, including LLM applications, RAG pipelines, and agentic workflows, while improving reliability, scalability, safety, and business impact.
Build and operate production AI agent capabilities for productivity workflows, from Python orchestration and business-software integrations to full-stack features, reliability improvements, and production quality.
The AI Engineer will focus on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.