Senior Applied AI Software Engineer – US Hours

M3 USA

. Design, build, test and maintain production software systems .

Posted 9/21/2026full-timeRemote • United States, PhilippinesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-enabled solutions, including LLMs and automation workflows, while optimizing performance and reliability. Proficient in full software development lifecycle practices, with a strong focus on scalable architecture and integration.

Highest-signal resume keywords

5+ Years Software Engineering ExperienceStrong React, Node.js, and TypeScriptPython for AI and AutomationAPI Development and Systems IntegrationExperience with LLMs and Generative AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development LifecycleAI Model Evaluation and OptimizationAutomated Testing and CI/CDData Modelling and IntegrationPrompt EngineeringRAG and AI Orchestration PatternsScalable ArchitectureMonitoring and Testing of AI SystemsStatistical and Predictive ModellingDigital Twin and Decision-Support Platforms

Tools & Technologies

AzureAWSGoogle CloudDockerKubernetesVector DatabasesSemantic SearchMLOpsCI/CD ToolsAgentic Architectures

Industry Keywords

HealthcareData ServicesMarket ResearchDecision ScienceOptimisation

Tech Stack

Tools & technologies

AWSAzureCloudDockerJavaScriptKubernetesNode.jsPythonReactSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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