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Designs and implements AI-driven architecture solutions, integrating GenAI/ML components into enterprise systems for fintech clients. Balances high-level design with rapid prototyping to validate ideas and align with business needs.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
Assist in designing and implementing cloud-based and AI-powered solutions (RAG, chatbots, copilots) for enterprise clients using Azure, AWS, and GCP, collaborating with senior architects on workshops, POCs, and technical proposals.
Cloud and AI Security Engineer at Axos Bank in Manila, building security frameworks for AI/ML platforms, LLM applications, and multi-cloud infrastructure (AWS, Azure, GCP), focusing on AI-specific threat mitigation like prompt injection, adversarial attacks, and RAG security.
The Principal Applied AI Engineer will design and implement AI-driven agents and conversational workflows to optimize contact center operations for GE Appliances. The role involves architecting scalable solutions using LLMs, RAG, and cloud infrastructure to automate customer service interactions and transactional processes.
This role involves building AI-powered internal and client-facing tools to improve business workflows at a shipbroking firm. You will work as a full-stack developer using TypeScript, Node.js, and React while integrating AI solutions to automate tasks.
The AI Engineer will design, deploy, and maintain machine learning pipelines and LLM-based applications. The role focuses on operationalizing AI models, managing the model lifecycle, and implementing production-grade RAG systems using Python, Docker, and Kubernetes.
Designs and builds autonomous AI agents that plan, reason, and execute multi-step tasks using Python and modern AI frameworks.
Key Responsibilities Full Stack Application Development Design, develop, test, and deploy end-to-end web applications spanning frontend, backend services, APIs, and data layers Translate functional and non-functional…
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
Aflac is investing in a new generation of technology capability that will transform customer and employee experiences, scale the secure and responsible use of AI across the enterprise, and reshape how software is…
Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are…
Builds AI-driven ecommerce platforms and digital tools to enhance customer journeys, automate workflows, and boost revenue by integrating AI agents, booking systems, and analytics tools.
HAIAR is seeking a Backend Software Engineer to develop and scale their AI-driven platform for the automotive industry. The role focuses on building robust RAG architectures, managing AI pipelines, and orchestrating agent workflows using Python.
Build and scale Reddit’s next-gen ML embedding platform, designing distributed training and low-latency serving systems that power personalized recommendations across the site.
About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the…
Senior Data Engineer at SHEIN applying GenAI/LLM capabilities to data engineering workflows, building production-ready AI solutions for code assistance, metadata discovery, and operational efficiency improvements using Python, SQL, and modern data technologies.
Data Science Intern at Notion conducting analyses, building dashboards, and communicating insights to cross-functional teams using SQL and Python/R, onsite in San Francisco for Winter 2027.
Designs and develops AI and agentic solutions, integrating with existing products or standalone systems, using Python, LangChain/LangGraph, FastAPI, and tools like Microsoft Copilot Agent Studio. Focuses on agentic architectures, RAG pipelines, and AI evaluation frameworks.
Develops data-driven solutions using machine learning and generative AI to analyze and structure complex datasets for Udlændingestyrelsen’s extremism countermeasures, integrating with existing systems and ensuring compliance with legal frameworks.
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