4 hours ago
Remote, PhilippinesSenior
Responsibilities
- Design, build, test, deploy, and maintain production software systems, scalable services, APIs, integrations, and automation workflows.
- Design and deploy AI-enabled products, copilots, intelligent workflows, and agentic AI solutions using LLMs, RAG, tool calling, memory, and orchestration patterns.
- Develop prompt and context engineering frameworks and evaluate, select, and optimize foundation models for latency, quality, reliability, and cost.
- Operationalize statistical, predictive, and AI models while building validation, monitoring, feedback, and performance-improvement mechanisms.
- Contribute to digital twin and decision-support platforms and help develop reusable AI platforms, patterns, and capabilities.
- Translate business requirements into scalable technical solutions and advise on feasibility, trade-offs, and implementation approaches.
- Support production deployment, monitoring, automated testing, continuous improvement, and reliable operation of AI systems.
Requirements
- 5+ years of professional software engineering experience and experience delivering production applications and services.
- Experience building AI-enabled products or intelligent systems and working across the full software development lifecycle.
- Strong experience with React, Node.js, and TypeScript as the primary development stack.
- Experience using Python for AI, automation, and data-related 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, AI orchestration, and foundation-model evaluation, selection, and optimization.
- Experience monitoring, testing, and supporting AI systems in production, including automated testing and CI/CD practices.
- Desirable experience with Azure, AWS, Google Cloud, vector databases, semantic search, MCP, MLOps, model lifecycle management, AI evaluation and observability, Docker, Kubernetes, digital twins, optimization, decision science, healthcare, data services, or market research.
- Willingness to work in the US Eastern time zone and ability to submit a CV in English.
Benefits
- Remote role with working hours aligned to the US Eastern time zone.
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.