Senior AI Engineer, Python

🕒 il y a 2 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔙 Ingénieur Back-end

👻 Score fantôme 25%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Miratech

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 1989

🤝 B2B

💼 Conseil

☁️ SaaS

💰 Private Equity Round en 2022-04

B2B • Consulting • SaaS

Miratech aide les visionnaires à changer le monde. Nous sommes une entreprise mondiale de services IT et de conseil qui réunit l’innovation des grandes entreprises et celle des start-up. Aujourd’hui, nous accompagnons la transformation digitale des plus grands groupes de la planète.

Description

• 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

🎯 Exigences

• 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 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 • 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

🏖️ Avantages

• Competitive pay and benefits package • Health insurance • Relocation program • Remote work flexibility through the Work From Anywhere Culture • Professional development opportunities • Certification programs • Mentorship and talent investment programs • Internal mobility opportunities • Internship opportunities • Projects for top global clients • Inclusive and supportive work environment • Regular team-building company social events

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