{"id":2161359,"url":"https://alion.io/job/findmore-senior-ai-agentic-engineer","title":"Senior AI Agentic Engineer","company":{"id":4374794,"name":"Findmore Consulting","domain":"findmore.pt","url":"https://alion.io/company/findmore-pt","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":131,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, 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AI-enabled services\nGuide engineering teams across the full service lifecycle, including requirements analysis, solution architecture, implementation, testing, deployment, observability, incident resolution, performance optimization, and continuous improvement\nDesign and implement Generative AI and LLM-based solutions using prompt engineering, RAG, embeddings, semantic search, structured outputs, tool/function calling, evaluation, and performance optimization\nDevelop Agentic AI services using frameworks such as LangChain/LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, OpenAI Agents SDK, Microsoft Agent Framework, or comparable technologies\nDefine reliable, scalable, and secure agent architectures covering orchestration, tool integration, memory strategies, observability, error handling, guardrails, and lifecycle management\nWork with AI data and search technologies, including SQL/NoSQL databases, PostgreSQL, MongoDB, Azure AI Search, vector databases, embeddings, and semantic retrieval\nGuide engineering teams in CI/CD, automated testing, deployment automation, code reviews, GitHub/GitLab workflows, and Agile delivery practices\nSupport cloud-native application development and deployment across AWS, Microsoft Azure, or GCP\nDefine reusable patterns, technical guardrails, and engineering standards for AI services\nMentor developers and review solution quality and architectural decisions\nEnsure AI solutions are scalable, secure, maintainable, and aligned with responsible AI principles\nSupport security, data protection, model and agent risk management, and compliance considerations throughout the AI service lifecycle\nRequirements\nSenior-level experience leading AI agent and service engineering initiatives, with hands-on development and technical ownership\nStrong programming skills in Python, Java, or Kotlin\nStrong knowledge of software design patterns, maintainable code structures, automated testing, and production-ready engineering practices\nExperience guiding engineering teams through CI/CD, automated testing, deployment automation, code reviews, and GitHub/GitLab workflows\nExperience with Agile delivery practices\nExperience with cloud-native application development and deployment on AWS, Microsoft Azure, or GCP\nStrong experience with APIs, integrations, scalable services, and operational readiness\nHands-on experience designing and delivering Generative AI and LLM-based solutions\nStrong knowledge of prompt engineering, RAG, embeddings, semantic search, structured outputs, tool/function calling, evaluation, and performance optimization\nPractical experience building Agentic AI services using relevant agent frameworks\nStrong understanding of agent orchestration, tool integration, memory strategies, observability, error handling, guardrails, and lifecycle management\nExperience with AI data and search technologies, including SQL/NoSQL databases, PostgreSQL, MongoDB, Azure AI Search, vector databases, 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