AI Technical Lead, .NET

🕒 il y a 5 jours

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 11%

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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Creatio

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2014

💼 Conseil

📣 Marketing

📦 Logistique

💰 Private Equity Round en 2024-06

Consulting • Marketing • Logistics

Creatio est une plateforme native AI sans code conçue pour automatiser la gestion de la relation client (CRM) et les workflows. Elle permet aux utilisateurs de concevoir et de faire évoluer des applications à l'aide de concepteurs visuels sans code et de langage naturel, la rendant accessible et conviviale sans nécessiter de compétences techniques particulières. Creatio vise à élever les organisations en augmentant la productivité et en améliorant l'expérience client grâce à ses solutions de bout en bout pour le marketing, les ventes et le service client.

Description

• Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations • Optimize development processes and introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements • Facilitate backlog refinements, sprint planning, and sprint reviews/demos • Participate in pair programming, complex development, code reviews, and mentoring • Collaborate with stakeholders and product managers to define technical direction and translate business requirements into technical solutions • Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails • Ensure quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions • Monitor and guide 4th-line incident response, ensuring SLA compliance and issue resolution • Contribute to knowledge sharing, team development, and continuous improvement

🎯 Exigences

• 6+ years of professional software engineering experience • Strong expertise in C# and .NET • 3+ years of experience in a Tech Lead or Team Lead role • Experience with architectural decision-making, technical ownership, and mentoring • Hands-on experience building and delivering LLM-powered applications to production • Strong understanding of AI agent architectures, tool calling, orchestration, context management, and agent frameworks • Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices • Proficiency with AI coding agents such as Claude Code, Cursor, Codex, or similar tools • Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles • Experience with relational databases, automated testing, CI/CD, and cloud-native development • English level: Upper-Intermediate or higher • Experience with MCP, multi-agent systems, and advanced agent orchestration • Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations • Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization • Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI • Python experience for AI development, prototyping, or automation • Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms

🏖️ Avantages

• Clear career paths • Mentorship opportunities • Access to continuous learning • Flexible work arrangements • Initiatives supporting schedule management, productivity, and personal and professional wellbeing • Recognition of achievements and contributions • Competitive compensation and benefits supporting employees and their families • Rewards approach recognizing contributions and commitment

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