{"id":133283,"url":"https://alion.io/job/devoteam-distributed-cloud-genai-engineer","title":"Distributed Cloud | GenAI Engineer","company":{"id":6640,"name":"Devoteam","domain":"devoteam.com","url":"https://alion.io/company/devoteam","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":90,"open_postings":571,"ghost_share":0,"stale_share":0.385,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":255000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1148},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-04-06T14:29:18Z","employer_posted_date":"2026-04-06","last_verified_at":"2026-10-18T03:07:26Z","board_verified":true,"closed_at":null,"days_open":194,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":193},"description":"At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.\n We design and build enterprise-grade Generative AI solutions that run in production. LLMs are treated as software components within robust, scalable, and observable systems, not as experimental tools. Our solutions are cloud-agnostic by design, and can be deployed on Azure, AWS, or GCP, while selectively leveraging managed services when they add real value (e.g. search, AI, or data platforms).\nYour mission is to own the technical design and implementation of end-to-end Generative AI solutions, ensuring\nstrong software engineering practices, sound architectural decisions, and reliable integration of LLM-based components into real-world systems.\nThis role is hands-on and technical, with responsibility for technical leadership, mentoring, and architectural decision-making.\nKey Responsibilities\nDesign and build scalable backend systems in Python (APIs, services, pipelines).\nIntegrate LLMs into production systems (RAG, workflows, agents when justified).\nDefine cloud-native, cloud-agnostic architectures.\nEnsure quality, testability, observability, and control of cost and latency.\nLead technical decisions, code reviews, and mentor engineers.\nBuild scalable MLOps pipelines for the deployment, monitoring, and continuous improvement of GenAI models in production environments.\nEnsure the ethical, secure, and responsible deployment of generative models, managing risks related to bias and data privacy.\n 10+ years of professional software engineering experience.\nStrong backend development experience with Python.\nProven experience delivering Generative AI systems to production.\nSolid understanding of software architecture and distributed systems.\nHands-on experience with cloud platforms (Azure, AWS, or GCP).\nExperience with CI/CD and modern deployment practices.\nNice to Have\nExperience with RAG, vector search, and data platforms (e.g. Databricks).\nFamiliarity with cloud AI and search services (e.g. Azure AI Search or equivalents).\nExperience with containerized and cloud-native architectures.\nStrong technical leadership and mentoring skills.\n The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. 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