Senior AI Engineer (with Python, LangGraph & LangChain)

Posted Yesterday
Hiring Remotely in US
Remote
Senior level
Information Technology
The Role
Develop and enhance enterprise AI agents and orchestration capabilities using Python, LangGraph, and LangChain. Build guided workflows, conversational AI experiences, planning and tool-calling functionality, and integrations with backend systems. Support MCP and A2A communication, AI observability with Arize, troubleshooting, reliability improvements, and delivery of centralized AI platform capabilities across multiple business use cases.
Summary Generated by Built In
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 external services.
  • Solid understanding of agentic AI: AI agents, planning, orchestration and tool-calling patterns.
  • Experience integrating applications with backend services and enterprise systems through APIs.
  • Familiarity with Arize or comparable AI observability and telemetry platforms.

Nice to have:

  • Hands-on experience with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
  • Experience building conversational AI or chat-based experiences in production.
  • Experience working on a shared, centralized AI platform that serves multiple business use cases.

Additional Information

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
  • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

* 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.

Skills Required

  • Strong hands-on Python programming and application development experience
  • Practical experience with LangGraph, including agent workflows and stateful orchestration
  • Experience developing LLM-powered applications with LangChain and integrating tools and external services
  • Solid understanding of agentic AI, including agents, planning, orchestration, and tool-calling patterns
  • Experience integrating applications with backend services and enterprise systems through APIs
  • Familiarity with Arize or comparable AI observability and telemetry platforms
  • Hands-on experience with Model Context Protocol and Agent-to-Agent communication
  • Experience building conversational AI or chat-based experiences in production
  • Experience working on a shared centralized AI platform serving multiple business use cases

Miratech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Miratech and has not been reviewed or approved by Miratech.

  • Fair & Transparent Compensation — Pay is considered solid in many contexts, with on-time payments emphasized. These factors contribute to confidence in baseline compensation.
  • Healthcare Strength — Medical, dental, and vision coverage are part of the core U.S. offering. An Employee Assistance Program and wellness initiatives complement the healthcare package.
  • Retirement Support — A U.S. 401(k) plan is available as part of the package. Retirement provisions are paired with performance bonuses within total compensation.

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The Company
HQ: Tulsa, OK
701 Employees
Year Founded: 1989

What We Do

Miratech helps visionaries to change the world. We are a global IT services and consulting company that brings together global enterprise innovation and start-up innovation. Today we support digital transformation for the largest enterprises on the planet. 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. Our culture of Relentless Performance enables over 99% of Miratech’s engagements to succeed by meeting or exceeding scope, schedule and/or budget objectives since our inception in 1989.

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