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. • 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. 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.

Requirements

Must-haves

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.
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.
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllm

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Professional Development