> Markdown version of [/jobs/ext/4630330-ai-technical-lead](https://www.wearedevelopers.com/jobs/ext/4630330-ai-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Technical Lead - **Company:** Verisure Sàrl - **Location:** Alicante, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Clean Code Principles, Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Engineering, Code Review, Continuous Integration, Python (Programming Language), E2e Testing, Amazon Connect, AWS Cdk, Chatbots, Genesys, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, AWS Lambda, Infrastructure as Code (IaC), Agentic-AI, Git, Event Driven Architecture, Pgvector, LangSmith, CrewAI, RAGAS (Retrieval Augmented Generation Assessment), DeepEval, Cloudwatch, Restful APIs, Model Context Protocol, Terraform, Api Management, Human in the Loop, OpenSearch - **Published:** November 8, 2026 - **Apply:** https://www.adzuna.es/details/5956715655 ## About the Role * Technical Leadership: previous experience as Tech Lead, translating business requirements into technical designs, defining architecture, guiding engineering decisions and taking solutions through development, deployment and production. * AI in Production: experience designing and building AI/ML or LLM-based solutions, with at least one solution successfully deployed to production; exposure to agentic systems, RAG, prompt engineering, evaluation and guardrails. * Cloud-Native Architecture: experience designing cloud-native, distributed and integration-heavy solutions, ideally in AWS, with experience operating them in production. * Engineering Excellence: Strong engineering practices across clean code, automated testing, CI/CD, code reviews, observability and production operations, with experience promoting shared standards through engineering chapters/communities of practice and mentoring other engineers. * Languages: Fluent in Spanish and English Soft skills & Mindset * Leadership by example: you inspire through technical credibility, consistency and genuine care for people. * Talent developer: you enjoy mentoring, giving feedback and seeing others grow, especially junior profiles. * Team builder: you create a positive, collaborative and high-trust environment where people want to be. * Pragmatic decision-maker: you balance perfection and delivery, and you are not afraid to make and explain difficult technical decisions. * Strong communication and influence skills: with technical and business audiences, including management. * Ability to manage multiple priorities and adapt quickly to change. * Continuous learning mindset and passion for the rapidly evolving AI landscape., · Committed to Making a Difference · Always Innovating · Winning as a Team ## Description * Shape and deliver AI agents and conversational solutions across the customer journey, from self-service and authentication to real-time agent assist, call summarization, automation and customer insights. * Play a key role in our evolution from Genesys OnPrem to Genesys Cloud, defining how AI and agentic capabilities are embedded into our next-generation contact center architecture. * Define architecture, engineering standards and key technical decisions, remaining hands-on when needed to ensure solutions are reliable, secure and scalable. * Lead a multidisciplinary team of AI Engineers and QA Engineers, acting as the technical reference and taking solutions from business requirements through architecture, engineering, deployment and production. Build your team's capabilities through mentoring. * Collaborate closely with Product, Architecture, Security, Legal, platform teams and business stakeholders across different countries. ️ Tech Stack * Agentic AI & LLMs | LangGraph | AWS Strands Agents | CrewAI | LangChain | ReAct | Plan-and-Execute | Tool Usage | Multi-Agent Orchestration | Human-in-the-Loop | RAG | Embeddings | Vector Databases | pgvector | OpenSearch | Retrieval | Re-ranking | MCP (Model Context Protocol) | REST APIs | Event-Driven Architectures | AWS Bedrock | AWS Lambda | AWS Step Functions | Amazon EventBridge | Amazon SageMaker | Python 3.10+ | Git | CI/CD | Infrastructure as Code (IaC) | Terraform | AWS CDK | LangSmith | DeepEval | Ragas | promptfoo | Test Automation | API Testing | End-to-End Testing | Production Monitoring & Alerting | Amazon CloudWatch | CCaaS | Genesys Cloud | Amazon Connect | NICE | Conversational AI | Voice Channels | Digital Channels