About the Role We are seeking an experienced AI Solutions Engineer to take ownership of the technical delivery of AI-powered solutions, automation, integrations, and internal AI operating systems. This role is ideal for a hands-on full-stack engineer who has
iLabs is a global software product engineering company headquartered in Sri Lanka, with deep roots in the US Silicon Valley. We deliver world-class solutions in Web, eCommerce, Mobile, AI/ML, and Cloud technologies, serving industries such as fintech,
Data Architect - (CREQ265829) Description Data Architect Designer of federated computational governance — the rules, standards, and interoperability contracts that let independently-owned data products compose into a coherent mesh. Less central modeler, more framework setter. Core
Company Description WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality.
ROLE PROFILE: Associate Tech Lead in a forward-thinking engineering team focused on building AI-native software solutions that transform how technology is delivered across LSEG. Design, develop, and scale intelligent applications employing Agentic AI, large language models (LLMs), orchestration frameworks,
About the Role We are seeking a talented Mid-Level Full Stack Developer to join our engineering team and build modern, scalable web applications with mobile accessibility and App Store experience. This role is ideal for a
Job Title: Software Engineer III Responsibilities Design, develop, and maintain high-quality software applications deployed on both private and public cloud platforms. Architect and design scalable, resilient solutions by applying proven industry best practices aligned with R&D objectives.
Job Description The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. This is not a model training role — its about integrating, orchestrating, and deploying AI capabilities into production software,
Key Responsibilities Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML), Deep Learning (DL), Generative AI, and Agentic AI use cases Lead the end-to-end model lifecycle management, including data ingestion, feature engineering, model
Key Responsibilities Define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions, ensuring alignment with organizational strategy and technology roadmaps Lead the design of scalable, secure, and high-performance AI platforms, covering data, model, orchestration, and serving layers
About Newton Russell Newton Russell builds the future of risk and compliance for financial services. Our platform, Brontë, powers critical risk and compliance workflows across banking, insurance and broader financial services. We move fast. We build in