Senior Applied AI Software Engineer – US Hours

🔥 0 minutes ago

🌐 United States, Philippines – Remote

🇺🇸 United States – Remote 🇵🇭 Philippines – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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M3 USA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

M3 USA is a company that specializes in providing market research, recruitment, and promotional solutions to the healthcare industry. They focus on connecting healthcare professionals, particularly physicians, with tools and resources that improve the practice of medicine. Through a variety of services, including qualitative and quantitative market research, multi-channel promotion, healthcare recruitment, and clinical trials, M3 USA supports the life sciences industry by enabling healthcare professionals to stay informed and provide optimal care. A subsidiary of M3 Inc. , M3 USA is engaged with leading pharmaceutical companies and offers extensive research capabilities across Europe and the U. S. They are known for their data-driven intelligence and their efforts in building networks within the healthcare community.

📋 Description

• Design, build, test and maintain production software systems • Develop scalable services, APIs, integrations and automation workflows • Contribute to architecture, engineering standards and best practices • Support deployment, monitoring and continuous improvement of production solutions • Design and deploy AI-enabled solutions using LLMs, agentic architectures and automation • Build production AI applications, copilots and workflow solutions • Develop prompt and context engineering frameworks • Implement RAG, tool-calling, memory and orchestration patterns • Evaluate and select appropriate AI models and technologies • Optimise latency, quality, reliability and cost • Monitor, test and continuously improve AI system performance • Operationalise statistical, predictive and AI models • Build validation, monitoring and feedback mechanisms • Contribute to digital twin and decision-support platforms • Translate business requirements into scalable technical solutions • Shape ideas into practical products and capabilities • Advise on feasibility, trade-offs and implementation approaches • Help define reusable AI platforms, patterns and capabilities across the organisation • Collaborate with Data Scientists, Engineers, IT teams and Business Analysts

🎯 Requirements

• 5+ years of professional software engineering experience • Experience delivering production applications and services • Experience building AI-enabled products or intelligent systems • Experience across the full software development lifecycle • Strong React, Node.js and TypeScript as the primary development stack • Python for AI, automation and data-related workloads where appropriate • API development, systems integration and scalable architecture • SQL, data modelling and data integration • Automated testing, CI/CD and modern engineering practices • Practical experience with LLMs, generative AI and prompt engineering • Experience with RAG, agentic workflows and AI orchestration patterns • Foundation model evaluation, selection and optimisation • Monitoring, testing and support of AI systems in production • Must be willing to work in US Eastern time zone • CV must be submitted in English • Desirable: experience with Azure, AWS or Google Cloud • Desirable: vector databases and semantic search • Desirable: MCP connecting AI to enterprise tools and data • Desirable: MLOps and model lifecycle management • Desirable: AI evaluation/observability • Desirable: cloud-native deployment using Docker, Kubernetes, etc. • Desirable: digital twin, optimisation or decision science experience • Desirable: healthcare, data services or market research experience

🏖️ Benefits

• Remote work arrangement • Opportunity to work with global healthcare and life sciences technology and research solutions • Work with modern AI technologies including LLMs, agentic AI and intelligent automation • Collaboration with Data Scientists, Engineers, IT teams and Business Analysts • Exposure to digital twin platforms, decision-support systems, AI-enabled research products and Copilot-style experiences