{"id":2470512,"url":"https://alion.io/job/findmore-consulting-senior-ai-software-engineer","title":"Senior AI Software 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":119,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":["PT"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":103000,"period":"year","method":"role_seniority_country_cell","sample_n":14},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"OpenAI","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-13T17:04:33Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T12:54:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"Main tasks\nDesign, develop, deploy and maintain production-ready GenAI applications, including internal AI assistants, RAG systems, agents and document-processing solutions.\nBuild Python backend services, APIs and integrations with client systems.\nDevelop solutions using LLM integrations, MCP, embeddings, vector databases and context management.\nTake end-to-end ownership of solutions, from technical discovery and architecture through implementation, deployment, monitoring and continuous improvement.\nStandardise and package solutions for deployment across different client environments.\nContribute to architectural decisions and define best practices for software development, GenAI evaluation, observability, scalability and maintainability.\nUnderstand client business needs, challenge requirements and propose pragmatic, product-oriented solutions.\nRequirements\n5+ years of experience in software engineering.\nStrong Python backend development skills, using FastAPI or similar frameworks.\nStrong knowledge of software design and application architecture.\nHands-on experience delivering production-grade GenAI solutions.\nGood understanding of RAG architectures, GenAI agents, context management and LLM integrations.\nAbility to deliver solutions from POC to production, covering backend development, infrastructure, deployment and integration.\nComfortable working with cloud environments, servers, networking fundamentals, CI/CD and production operations.\nNice to have\nFamiliarity with the team’s technology stack: Azure AI Foundry, LangChain, LangGraph and OpenAI/Azure OpenAI.\nExperience with PostgreSQL, vector databases, embeddings and ETL/ELT pipelines.\nExperience with Azure, Docker and Kubernetes.\nOther requirements\nEnglish proficiency.\nStrong ownership mindset, autonomy and initiative.\nAbility to quickly understand new business domains and adapt to changing client contexts.\nPragmatic approach focused on solving real business problems.\nComfortable working in a fast-paced 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