3 months ago
Remote, BrazilSenior
Responsibilities
- Design, build, test, deploy, and maintain production software systems, scalable services, APIs, integrations, and automation workflows.
- Develop AI-enabled products, copilots, agent-based systems, and workflow solutions using LLMs, RAG, tool calling, memory, and orchestration patterns.
- Operationalize statistical, predictive, and AI models while building validation, monitoring, feedback, and performance-improvement mechanisms.
- Evaluate and select AI models and technologies and optimize latency, quality, reliability, and cost.
- Contribute to digital twin, operational decision-support, intelligent automation, and AI-enabled research platforms.
- Translate business requirements into scalable technical products and advise on feasibility, trade-offs, and implementation approaches.
- Help define reusable AI platforms, engineering patterns, and organizational capabilities.
Requirements
- At least 5 years of professional software engineering experience.
- Experience delivering production applications and services across the full software development lifecycle.
- Experience building AI-enabled products or intelligent systems.
- Strong experience with React, Node.js, and TypeScript, with Python for AI, automation, and data workloads.
- Experience with API development, systems integration, scalable architecture, SQL, data modeling, and data integration.
- Practical experience with LLMs, generative AI, prompt engineering, RAG, agentic workflows, and AI orchestration patterns.
- Experience evaluating, selecting, optimizing, monitoring, testing, and supporting AI systems in production.
- Experience with automated testing, CI/CD, and modern engineering practices.
- Experience with Azure, AWS, or Google Cloud, vector databases and semantic search, MCP, MLOps, model lifecycle management, AI evaluation or observability, and cloud-native deployment is desirable.
- Digital twin, optimization, decision science, healthcare, data services, or market research experience is desirable.
Benefits
- Remote work is indicated by the #LI-Remote designation.
- Must be willing to work in the US Eastern time zone.
- Applicants should submit a CV in English.
Tech Stack
Categories
About M3 USA
M3 USA builds digital platforms that connect healthcare professionals with life sciences companies, offering physician communities, medical news and education, market research panels, clinical trial recruitment, and targeted marketing services. It monetizes through B2B services for pharma, biotech, and healthcare organizations across brands including MDLinx and M3 Global Research. Headquartered in Fort Washington, Pennsylvania, it is the U.S. arm of M3, Inc., a Tokyo Stock Exchange–listed company founded in 2000.