Idiomas: ENG B2 | PT C2
\nLocal de Trabalho: Lisboa, Braga ou Coimbra
\nModelo Trabalho: H\u00edbrido 2x semana
\nSal\u00e1rio L\u00edquido m\u00e1ximo: N\/D | Rate M\u00e1xima: N\/D
\nDisponibilidade M\u00e1xima: N\/D<\/p>","protected":false},"excerpt":{"rendered":"
AO6773 \u00b7 Portugal \u00b7 services \u00b7 Open<\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"boond_id":"6773","boond_reference":"AO6773","boond_place":"","boond_place_label":"Portugal","boond_state":12,"boond_state_label":"Open","boond_start_date":"immediate","boond_closing_date":"","boond_answer_date":"","boond_duration":255,"boond_raw_description":"Idiomas: ENG B2 | PT C2\nLocal de Trabalho: Lisboa, Braga ou Coimbra\nModelo Trabalho: H\u00edbrido 2x semana\nSal\u00e1rio L\u00edquido m\u00e1ximo: N\/D | Rate M\u00e1xima: N\/D\nDisponibilidade M\u00e1xima: N\/D","boond_criteria":"ABOUT THE OPPORTUNITY\n\nWe are looking for a Senior AI DevOps Engineer to support an international opportunity in the industrial manufacturing sector. You will work on the takeover, development, operation and continuous improvement of enterprise generative AI solutions, in a hybrid or on-site model in Lisbon, Braga or Coimbra. Candidates should be based in Portugal and comfortable working in English in a global environment.\n\nWHAT YOU WILL DO\n\n- Lead the technical handover of AI solutions delivered by external vendors into stable run mode.\n- Review code, prompts, configurations, architecture and documentation to identify technical debt and improvement priorities.\n- Create and maintain runbooks, operational documentation, prompt documentation and model-related documentation.\n- Design, develop and deliver enterprise AI features and solutions aligned with business needs.\n- Build and operate solutions using approved Microsoft and Azure AI technologies.\n- Apply grounding, evaluation, guardrails and responsible AI practices across LLM-based applications.\n- Contribute reusable components such as connectors, prompt templates, agent skills and evaluation assets.\n- Build and maintain CI\/CD pipelines for AI solutions using GitOps and infrastructure-as-code practices.\n- Apply LLMOps practices such as prompt versioning, evaluation datasets, regression testing and automated quality evaluation.\n- Implement observability for logs, traces, usage, cost, response quality and grounding quality.\n- Manage secrets, environments, application lifecycle, release processes and production readiness.\n- Investigate incidents, quality issues, hallucinations, grounding failures and integration errors as an L3 escalation point.\n- Drive permanent fixes into code, prompts, configurations and operational practices.\n- Maintain knowledge base content for known issues, workarounds and frequently asked questions.\n- Run discovery and refinement sessions with business product owners and technical stakeholders.\n- Translate business needs into user stories, acceptance criteria and delivery priorities.\n- Demo increments, collect feedback and support adoption together with business stakeholders.\n- Provide guidance and enablement on GitHub Copilot usage patterns and engineering practices.\n\nWHAT WE ARE LOOKING FOR\n\n- 5 to 8 years of professional software development experience.\n- At least 2 years of experience building or operating generative AI or LLM-based solutions in production.\n- Experience across multiple GenAI solution types, such as conversational AI, agentic workflows, RAG, document intelligence or AI-driven integrations.\n- Proven ability to take over, assess and stabilise vendor-built codebases.\n- Hands-on experience with backlog management and direct business stakeholder engagement.\n- Strong software engineering fundamentals, including testing, version control and code review.\n- Professional working proficiency in English.\n- Ability to communicate clearly with both business and technical audiences.\n- Outcome-oriented and pragmatic mindset, with the ability to balance build and run responsibilities.\n- Curiosity, self-learning attitude and adaptability in a fast-moving AI landscape.\n- Collaborative approach in hybrid, global and multi-stakeholder environments.\n\nTECHNICAL SKILLS\n\n- Python\n- TypeScript\n- Azure cloud services\n- Azure App Service\n- Azure Container Apps\n- Azure Functions\n- Azure Kubernetes Service\n- Azure OpenAI\n- Azure AI Foundry\n- Azure AI Services\n- Microsoft Graph\n- REST APIs\n- Microsoft Copilot Studio\n- Microsoft 365 Copilot extensibility\n- SharePoint\n- Microsoft Teams\n- Conversational agents\n- Agentic workflows\n- Multi-agent workflows\n- Retrieval-augmented generation\n- Document intelligence\n- Prompt engineering\n- LLM evaluation\n- Guardrail design\n- CI\/CD pipelines\n- GitHub Actions\n- Azure DevOps\n- Infrastructure as code\n- Bicep\n- Terraform\n- Docker\n- Observability tooling\n- GitOps\n- LLMOps\n- Responsible AI practices\n- AI governance practices\n\nNICE TO HAVE\n\n- Microsoft Agent Framework\n- LangGraph\n- Pydantic AI\n- Azure AI Search\n- Qdrant\n- Neo4j\n- LlamaIndex\n- Azure AI Document Intelligence\n- Azure AI Vision\n- Azure AI Speech\n- Azure AI Translator\n- Fine-tuning and model customisation on Azure OpenAI or Azure AI Foundry\n- GitHub Copilot enablement experience\n- Azure AI Engineer AI-102 certification\n- ISO\/IEC 42001 awareness\n- ISO\/IEC 27001 awareness\n- Cybersecurity best practices\n\nCOMPENSATION TRANSPARENCY\n\nBase salary range: EUR 22,000 - EUR 32,000 gross\/year\nTotal compensation: up to EUR 40,000\/year\nThe salary range is based on objective and gender-neutral criteria, including required competencies, professional experience, level of responsibility and role requirements. Final compensation will be determined according to the candidate's profile and position requirements.\n\nWHAT WE OFFER\n\n- Private health insurance from day one, with no waiting periods and optional family extension.\n- Confidential and free mental health support throu","boond_expertise_area":"services","boond_is_visible":true,"boond_created_at":"2026-07-02T15:32:45+0200","boond_created_ts":1782999165,"boond_updated_at":"2026-07-03T09:57:25+0200","boond_type_of":1,"boond_mode":1,"boond_active_positionings":0,"boond_manager_id":"20817","boond_agency_id":"1","boond_agency_label":"Hexa Consulting","boond_pole_id":"1","job_location":"Portugal","job_contract":"services","job_business_unit":"Hexa Consulting","job_seniority":"Senior","job_title_without_seniority":"AI DevOps Engineer","job_remote_url":"","job_source":"boond","manatal_hash":"","manatal_status":"","job_last_synced_at":"2026-07-13 07:54:13"},"class_list":["post-6434","company_job","type-company_job","status-publish","hentry"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job\/6434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job"}],"about":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/types\/company_job"}],"version-history":[{"count":1,"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job\/6434\/revisions"}],"predecessor-version":[{"id":6439,"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job\/6434\/revisions\/6439"}],"wp:attachment":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/media?parent=6434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}