Type: Full-time Freelance
Location: Thailand
Working mode: remote
About DataXight
DataXight, headquartered in Mountain View, CA, is on a bold mission to transform healthcare through groundbreaking data-driven solutions. We're passionate about empowering our team to work on projects that not only push boundaries but also make a tangible difference in the lives of millions. Are you ready to be part of something greater?
The Role
As a Senior Automation Quality Engineer, you’ll play a key role in ensuring reliability and performance of our distributed systems. You’ll drive automation initiatives, design robust test frameworks, and mentor junior engineers while collaborating with product management, software, DevOps, data engineering, and security teams to maintain world-class quality.
Key Responsibilities
AI Platform Architecture
Implement a standardized internal framework for deploying and managing agentic AI systems.
Establish foundational engineering patterns for reliability, modularity, and scalability.
Orchestration & State Management
Implement logic for agent workflows, tool-calling, and human-in-the-loop approval systems.
Manage long-running, stateful backend services with high concurrency.
Observability & Compliance
Build and maintain deep tracing, monitoring, and audit logging systems to ensure AI-driven actions are transparent and compliant.
Enable end-to-end visibility across AI workflows.
Secure Execution
Build sandboxed and controlled execution environments for tool usage.
Ensure system integrity when handling dynamic or untrusted workloads.
Context Engineering & Data Pipelines
Implement real-time data retrieval pipelines to provide high-quality contextual input to AI systems.
Optimize integration across relational and NoSQL databases.
APIs & Internal Platform Services
Develop clean, well-documented APIs that expose AI platform capabilities to internal teams.
Collaborate with engineering and data teams to integrate AI systems into production workflows.
Automation & CI/CD
Implement automated testing and deployment pipelines for AI workflows.
Promote DevOps best practices to ensure fast, reliable releases.
Must-Have Qualifications
3+ years of backend engineering experience with strong computer science fundamentals.
Genuine excitement about the AI field, follow the rapid shifts in the ecosystem (e.g., new models, MCP, agent frameworks).
Proficiency in Python (preferred) or Go / TypeScript.
Experience designing distributed, event-driven systems.
Strong understanding of observability (logging, monitoring, tracing, audit trails).
Hands-on experience with Docker and infrastructure-as-code tools (e.g., Terraform).
Experience working with relational and NoSQL databases.
Ability to independently drive ambiguous, high-impact projects.
English proficiency for professional communication.
Eligibility to work in Vietnam or Thailand.
Nice-to-Have Qualifications
Experience building infrastructure for AI/ML systems.
Familiarity with agentic AI frameworks (e.g., LangGraph, CrewAI, PydanticAI).
Experience with RAG architectures and vector search systems (e.g., Pinecone, Weaviate, MongoDB Atlas Vector Search).
Experience with secure container isolation or sandboxed execution environments.
Background in high-concurrency or asynchronous system design.
Lifelong Skills
Inquisitive Mindset: Demonstrates a deep-rooted curiosity, constantly seeking to understand project details and underlying principles, indicative of a continuous learning approach.
Clarity and Insight: Actively seeks clarity and understanding of project requirements to ensure accurate and effective implementation.
Depth of Perception: Has talent for looking beyond initial requests, intuitively grasping and addressing the core needs and objectives underlying a project.
Implementation Insight: Skilled in outlining and describing the phases of project implementation, breaking down complex tasks into manageable steps.
Articulate Communication: Exhibits strong verbal and written communication skills, adept at tailoring messages effectively for different audiences, ensuring that it is not only clear but also contextually relevant and empathetic.
Why Join DataXight
This isn’t just another job; it’s an opportunity to join a team that's earnest about making a global impact in human health. We provide room for growth, a dynamic and collaborative work environment, and the chance to make your mark in an industry ripe for innovation. Join our team and immerse yourself in a dynamic, supportive, and friendly workplace that fosters collaboration and personal growth.
High ownership and creative influence as a senior visual leader.
Opportunity to shape how complex ideas are visually communicated across products and clients.
Direct collaboration with senior leaders and domain experts.
Meaningful work at the intersection of data, science, and business.
If you’re someone who thrives on solving complex problems and actively wants to transform healthcare, apply DataXight today. Send your resume, cover letter, and relevant work samples or GitHub profile to careers@dataxight.com. We look forward to reviewing your application and potentially welcoming you to our globally connected team!
