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Senior AI Engineer, Python, LangGraph, LangChain

🔥 39 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Logo of Miratech

Miratech

501 - 1000 employees

Founded 1989

🤝 B2B

💼 Consulting

☁️ SaaS

💰 Private Equity Round on 2022-04

B2B • Consulting • SaaS

Miratech is a global IT services and consulting company dedicated to helping visionaries change the world. Specializing in outsourcing, software development, and professional services, Miratech supports digital transformation for some of the largest enterprises worldwide. By combining enterprise and start-up innovation, Miratech remains at the forefront of technology while maintaining agility and a culture of relentless performance that has led to high engagement success since its founding in 1989.

📋 Description

• 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 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 MCP and A2A communication • Work with AI observability and telemetry capabilities, including Arize • Collaborate with engineers and subject-matter experts on core platform development and business use cases • Troubleshoot technical issues, improve solution reliability and continuously enhance AI capabilities

🎯 Requirements

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

🏖️ Benefits

• Comprehensive compensation and benefits package • Health insurance • Relocation program • Remote work flexibility • Professional development opportunities • Certification programs • Mentorship and talent investment programs • Internal mobility opportunities • Internship opportunities • Impactful projects for top global clients • Inclusive and supportive work environment • Open communication • Regular team-building company social events

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