AI Technical Lead, .NET

🔥 45 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

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Creatio

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

💼 Consulting

📣 Marketing

📦 Logistics

💰 Private Equity Round on 2024-06

Consulting • Marketing • Logistics

Creatio is an AI-native no-code platform designed to automate CRM and workflows. It allows users to design and evolve applications using visual no-code designers and natural language, making it accessible and user-friendly without requiring special technical skills. Creatio aims to elevate organizations by enhancing productivity and improving customer experience through its end-to-end solutions for marketing, sales, and customer service.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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