Senior AI Engineer (Python)

Miratech • US, US

1d • Remote

About The Position

Miratech is seeking a Senior AI Engineer with Python, LangGraph, and LangChain experience to join its US healthcare client. The role contributes to developing and enhancing an enterprise AI platform for intelligent workflows, conversational experiences, and AI-powered automation across business functions. The engineer will work with agentic AI architectures, build scalable AI solutions, and collaborate with an engineering team to support innovation and business impact.

Requirements

• 8+ years of hands-on experience in Python development and enterprise application development.
• 2+ years of hands-on experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.
• 2+ years of experience with LangChain, including building LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.
• Strong understanding of agentic AI concepts, including AI agents, planning, orchestration, memory management, and tool-calling frameworks.
• Experience building and deploying production-grade Generative AI applications and solutions.
• Experience integrating AI applications with enterprise platforms, backend services, and APIs.
• Experience designing and implementing conversational AI and chat-based applications in production environments.
• Familiarity with AI observability, monitoring, telemetry, and evaluation platforms.
• Strong knowledge of software engineering best practices, testing, debugging, and performance optimization.
• Experience working in Agile development environments and collaborating with cross-functional teams.
• Excellent problem-solving, communication, and stakeholder management skills.

Nice To Haves

• Hands-on experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
• Experience building and deploying multi-agent AI solutions in production.
• Experience implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.
• Experience working with vector databases and semantic search technologies.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience working on centralized AI platforms supporting multiple business functions and use cases.
• Exposure to healthcare or other highly regulated enterprise environments.

Responsibilities

• Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
• Build and extend AI-enabled guided workflows and automation capabilities.
• Design, develop, and optimize conversational AI and chat-based experiences.
• Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
• Integrate AI agents and applications with enterprise systems, services, and APIs.
• Support modern AI integration frameworks and agent communication patterns.
• Implement AI observability, monitoring, telemetry, and performance tracking capabilities.
• Collaborate with engineering teams and stakeholders to accelerate platform development and business use case delivery.
• Troubleshoot technical challenges, improve solution reliability, and drive continuous platform enhancements.
• Contribute to architecture discussions, best practices, and scalable AI engineering standards.

Benefits

• Comprehensive compensation and benefits package, including health insurance.
• Relocation program.
• Flexibility associated with remote work.
• Professional development opportunities, including certification programs, mentorship and talent investment programs, and internal mobility.
• Internship opportunities.
• Inclusive and supportive multicultural work environment with open communication and regular team-building social events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed