{"id":32781,"url":"https://alion.io/job/m3usa-senior-applied-ai-software-engineer","title":"Senior Applied AI Software Engineer","company":{"id":50511,"name":"M3","domain":"m3.com","url":"https://alion.io/company/m3-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"ET","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":128000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Digital Twin","optional":false},{"name":"ISO 27001","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-07-23T02:59:06Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-17T07:41:03Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"About M3: A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India.\nDue to continued growth, M3 MR is seeking a Senior Applied AI Software Engineer\nBusiness Unit Mission:\nM3 MR, part of M3 Inc., provides the most comprehensive and highest-quality healthcare market research recruitment, data collection, and insight support services globally. With proprietary access to healthcare professionals and patient communities across more than 70 countries, M3 MR partners with pharmaceutical, biotech, medical device, and market research agencies to deliver trusted, compliant, and decision-ready insights at speed and scale.\nM3 MR holds ISO 20252, ISO 27001, and ISO 27701 certifications, reflecting the group’s commitment to data quality, respondent integrity, information security, and operational excellence across quantitative and qualitative methodologies. The group combines deep healthcare expertise, advanced technology platforms, and global operational reach to support clients across the full research lifecycle.\n Role Purpose\nBuilding production systems powered by software engineering, data science and modern AI.\nWe are seeking a hands-on Senior Applied AI Software Engineer to design, build and deploy production systems that combine software engineering, data science, large language models (LLMs), agentic AI and intelligent automation. This is a software engineering role first and an AI role second. We are looking for someone who enjoys building real systems, shipping code and solving business problems, while applying modern AI technologies where they create meaningful value. You will work alongside Data Scientists, Engineers, IT teams and Business Analysts to transform ideas, models and business requirements into robust, scalable solutions. This includes operationalising statistical and decision-science models, building AI-powered products and workflows, selecting and integrating foundation models, optimising cost and performance, and developing agent-based systems that automate and enhance complex business processes. Initial focus areas include digital twin platforms, operational decision-support systems, AI-enabled research products, intelligent workflow automation, Copilot-style experiences and agentic AI solutions embedded across the organisation. Success in the role will be measured by the delivery of reliable, maintainable production systems that create measurable business value, rather than experimentation alone.\nKey Responsibilities\nSoftware Engineering & Product Delivery\nDesign, build, test and maintain production software systems.\nDevelop scalable services, APIs, integrations and automation workflows.\nContribute to architecture, engineering standards and best practices.\nSupport deployment, monitoring and continuous improvement of production solutions.\nApplied AI & Intelligent Systems\nDesign and deploy AI-enabled solutions using LLMs, agentic architectures and automation.\nBuild production AI applications, copilots and workflow solutions.\nDevelop prompt and context engineering frameworks.\nImplement RAG, tool-calling, memory and orchestration patterns.\nEvaluate and select appropriate AI models and technologies.\nOptimise latency, quality, reliability and cost.\nMonitor, test and continuously improve AI system performance.\nData & Decision Science Enablement\nOperationalise statistical, predictive and AI models.\nBuild validation, monitoring and feedback mechanisms.\nContribute to digital twin and decision-support platforms.\nBusiness Collaboration & Technical Leadership\nTranslate business requirements into scalable technical solutions.\nShape ideas into practical products and capabilities.\nAdvise on feasibility, trade-offs and implementation approaches.\nHelp define how AI is applied across the organisation through reusable platforms, patterns and capabilities.\n Essential Experience\n5+ years of professional software engineering experience.\nExperience delivering production applications and services.\nExperience building AI-enabled products or intelligent systems.\nExperience across the full software development lifecycle.\nTechnical Skills\nStrong React, Node.js and TypeScript as the primary development stack\nPython for AI, automation and data-related workloads where appropriate.\nAPI development, systems integration and scalable architecture.\nSQL, data modelling and data integration.\nAutomated testing, CI/CD and modern engineering practices.\nPractical experience with LLMs, generative AI and prompt engineering.\nExperience with RAG, agentic workflows and AI orchestration patterns.\nFoundation model evaluation, selection and optimisation.\nMonitoring, testing and support of AI systems in production.\nDesirable Experience\nAzure, AWS or Google Cloud.\nVector databases and semantic search.\nMCP: connecting AI to enterprise tools and data.\nMLOps and model lifecycle management.\nAI evaluation/observability: measuring and monitoring model performance in production.\nCloud-native deployment: best practices for building scalable, reliable AI applications designed to run in the Cloud (Docker, Kubernetes etc).\nDigital twin, optimisation or decision science experience.\nHealthcare, data services or market research experience.\n Working hours: Must be willing to work in US Eastern time zone\nPlease submit your CV in English","description_format":"text","description_chars":6169,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Clinical Trial Services (CRO)","Pharma Marketing & Medical Communications","Health & Medical Media"],"lifecycle":[{"event":"open","at":"2026-07-23T02:59:06Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long 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