{"id":2179503,"url":"https://alion.io/job/cit-senior-ai-engineer-brazil","title":"Senior AI Engineer, Brazil","company":{"id":957,"name":"CI&T","domain":"ciandt.com","url":"https://alion.io/company/ciandt","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":22,"ghost_share":0,"stale_share":0.409,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":133000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true}],"status":"closed","first_seen_at":"2026-10-09T14:00:14Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-19T13:15:56Z","board_verified":false,"closed_at":"2026-10-19T13:15:56Z","days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"We are looking for a Senior AI Engineer to design and develop AI-powered solutions that combine Large Language Models (LLMs), document intelligence, and full-stack engineering.\nIn this role, you will build reliable information extraction pipelines, improve the accuracy and traceability of AI-generated results, and contribute to the evolution of a web application. You will work across AI engineering, model evaluation, and front-end development to deliver scalable solutions that meet business requirements and provide a high-quality user experience.\nResponsibilities\nDesign and develop LLM-powered extraction pipelines using techniques such as multi-call consensus, grounding, and value verification to improve accuracy and reliability.\nAlign extracted attributes with the PriCat standard, ensuring data consistency and compatibility with new ERP systems.\nEvaluate and optimize AI models based on accuracy, cost, and latency, using LLM observability tools to monitor and improve performance.\nDevelop and integrate AI capabilities using Python, Azure OpenAI, LangChain, and Document Intelligence.\nBuild and maintain prompt templates and structured generation workflows using Jinja2.\nRebuild and enhance the web application based on the Design team's mockups, using Next.js and React.\nImplement user-facing features such as PDF grounding views to improve transparency and help users validate extracted information.\nSupport French-speaking users by investigating and resolving issues, delivering fixes, and implementing small features.\nDevelop and maintain automated tests to ensure application quality, reliability, and maintainability.\nCollaborate with engineering, design, and business stakeholders to translate requirements into effective AI-powered solutions.\nRequirements for this challenge\nStrong experience in software engineering, with a focus on AI engineering and full-stack development.\nProficiency in Python and experience building AI-powered applications.\nHands-on experience with Azure OpenAI and Large Language Models (LLMs).\nExperience with LangChain and developing LLM-based workflows or information extraction pipelines.\nKnowledge of document processing, structured data extraction, grounding, and output validation.\nExperience evaluating AI solutions against quality, cost, and latency metrics.\nFamiliarity with LLM observability tools, particularly Langfuse.\nExperience with React and Next.js for front-end development.\nFamiliarity with Jinja2 or similar template-based approaches.\nExperience implementing automated tests and troubleshooting production applications.\nStrong analytical and problem-solving skills, with attention to data quality and reliability.\nAbility to collaborate with multidisciplinary teams and communicate technical concepts clearly.\nNice to Have\nExperience with Azure AI Document Intelligence or similar document processing technologies.\nKnowledge of LLM evaluation strategies, multi-step extraction, consensus mechanisms, and grounding techniques.\nExperience integrating AI-generated data with ERP systems or enterprise data standards.\nFamiliarity with PDF rendering, document annotation, and evidence-based validation interfaces.\nExperience supporting international users or working in multilingual environments.\nKnowledge of AI application monitoring, tracing, and continuous 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