Senior Applied AI Software Engineer – US Hours

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design, construct, test, and maintain production software systems.

• Develop scalable services, APIs, integrations, and automation workflows.

• Contribute to architecture, engineering standards, and best practices.

• Support the deployment, monitoring, and continuous improvement of production solutions.

• Design and implement AI-enabled solutions utilizing LLMs, agentic architectures, and automation.

• Create production AI applications, copilots, and workflow solutions.

• Develop frameworks for prompt and context engineering.

• Implement RAG, tool-calling, memory, and orchestration patterns.

• Evaluate and select suitable AI models and technologies.

• Optimize latency, quality, reliability, and cost.

• Monitor, test, and continuously enhance the performance of AI systems.

• Operationalize statistical, predictive, and AI models.

• Build mechanisms for validation, monitoring, and feedback.

• Contribute to digital twin and decision-support platforms.

• Translate business requirements into scalable technical solutions.

• Transform ideas into practical products and capabilities.

• Provide advice on feasibility, trade-offs, and implementation strategies.

• Help establish reusable AI platforms, patterns, and capabilities across the organization.

• Collaborate with Data Scientists, Engineers, IT teams, and Business Analysts.

⛳️ Requirements

• A minimum of 5 years of professional software engineering experience.

• Proven experience in delivering production applications and services.

• Experience in developing AI-enabled products or intelligent systems.

• Familiarity with the complete software development lifecycle.

• Strong expertise in React, Node.js, and TypeScript as the primary development stack.

• Proficiency in Python for AI, automation, and data-related tasks where applicable.

• Experience in API development, systems integration, and scalable architecture.

• Knowledge of SQL, data modeling, and data integration.

• Experience with automated testing, CI/CD, and modern engineering practices.

• Practical experience with LLMs, generative AI, and prompt engineering.

• Familiarity with RAG, agentic workflows, and AI orchestration patterns.

• Experience in foundation model evaluation, selection, and optimization.

• Experience in monitoring, testing, and supporting AI systems in production.

• Must be willing to work in the US Eastern time zone.

• CV must be submitted in English.

• Desirable: experience with Azure, AWS, or Google Cloud.

• Desirable: knowledge of vector databases and semantic search.

• Desirable: experience connecting AI to enterprise tools and data (MCP).

• Desirable: familiarity with MLOps and model lifecycle management.

• Desirable: experience in AI evaluation/observability.

• Desirable: experience with cloud-native deployment using Docker, Kubernetes, etc.

• Desirable: experience in digital twin, optimization, or decision science.

• Desirable: experience in healthcare, data services, or market research.

🏝️ Benefits

• Remote work arrangement.

• Opportunity to work with global healthcare and life sciences technology and research solutions.

• Engage with modern AI technologies including LLMs, agentic AI, and intelligent automation.

• Collaborate with Data Scientists, Engineers, IT teams, and Business Analysts.

• Gain exposure to digital twin platforms, decision-support systems, AI-enabled research products, and Copilot-style experiences.