At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this
We are looking for a QA Specialist with deep expertise in test automation to help us raise the quality bar across the Inriver platform. You will own and evolve our automated testing strategy – spanning API,
About Signant Health At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so
Automation Developer Join us in building reliable, intelligent, and future-ready software. We are looking for a Mid-Level Automation Developer with strong coding and scripting skills to build and maintain high-quality automation solutions. This role requires hands-on
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they
Data Scientist - AI Specialization Grow Beyond UR Job with URC! Universal Robina Corporation is looking for a Data Scientist . Data Scientist with AI specialization drives the design and delivery of advanced intelligent solutions that
Summary: We are seeking a highly motivated and experienced Sr. AI Solutions Developer who operates with high autonomy, owns pre-implementation decisions, enforces OWASP and cost-first discipline, and elevates the teams technical baseline through mentorship and shared
About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc.
Our client is looking for Agentic AI Engineer to build and deploy AI agents that automate real business workflows — reducing operational cost, headcount dependency, and turnaround time. This is a hands-on implementation role, not R&D.
Data Engineer, AI Development Location: This is a hybrid opportunity where you will work 2 days in the office, 3 days a week from home. Insight at a Glance 14,000+ engaged teammates globally $8.2 billion
Who We Are We are trusted, modern technology leaders in: Agile Software Development Quality Assurance Cloud Consulting and Managed Services Data Engineering and Analytics Artificial Intelligence and Machine Learning We use technology to enrich experiences, empower
Who We Are We are trusted, modern technology leaders in: Agile Software Development Quality Assurance Cloud Consulting and Managed Services Data Engineering and Analytics Artificial Intelligence and Machine Learning We use technology to enrich experiences, empower
# AI Solutions Lead — Maria Health *Location:* Remote (Philippines) · Hybrid if based in Metro Manila # What youll do As AI Solutions Lead at Maria Health, youll be embedded across two of our core
● B.S. or M.S. in Computer Science, Software Engineering, or a related technical fi eld. ● 5+ years in Software Testing and Quality Engineering, heavily focused on code-driven UI and API automation. ● Full-stack testing expertise,
Location: Remote Type: Full-time - founding leadership hire Team: Leads a small, senior AI engineering team (2-3 today, growing) Growth path: - Head of Engineering as the product scales to hundreds of tenants About the Agile
Role overview: Data Scientist with AI specialization drives the design and delivery of advanced intelligent solutions that transform how the business operates and makes decisions. This role focuses on developing scalable, enterprise-grade AI systems, leveraging large
About the Role: We are seeking a forward-thinking Agentic AI Engineer to design, build, and orchestrate autonomous AI agents capable of reasoning, planning, and executing complex workflows. Unlike traditional LLM-based chatbots, our agents interact with dynamic
Key Responsibilities Specification-Driven Extraction Engineering: 1. Design and maintain declarative extraction specifications—using Pydantic models, JSON schemas, or domain-specific languages—that describe exactly which fields to capture, their types, and validation rules. 2. Implement pipelines that translate these