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Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Build and scale LLM-powered AI agents and RAG systems for a digital bank, focusing on secure, observable microservices and production-grade AI workflows.
Own SQL Server databases and ETL pipelines, tune performance, and build vector-aware data stores to power AI features for an aerospace manufacturer.
Build and deploy full-stack AI systems for clients, from scoping to production, using modern GenAI stacks, Python, and FastAPI.
Design and deploy production-ready AI systems for insurance, focusing on Agentic AI, LLMs, RAG pipelines, and Computer Vision using Python and deep learning.
About the Role As a Product Owner on MCO’s eComms Compliance team, you will own the roadmap for a new scrum team dedicated to AI feature development across our communications surveillance and archiving solutions, which…
Build and deploy LLM-based AI pipelines and services, integrating them into corporate products and systems using Python, RAG, and vector databases.
Design and implement AI security controls, threat detection, and incident response for Absa’s AI/ML systems, including LLMs, agentic AI, and MCP ecosystems, while hunting for adversarial threats.
Build and deploy agentic AI systems and LLM features like RAG with citation, handling end-to-end AI/ML projects from data prep to deployment.
Build and scale an AI-powered clinical reasoning system that handles millions of patient consultations, improving safety and accuracy through agentic architectures, retrieval, and continuous learning.
Lead the design and deployment of production-grade AI systems, including LLMs, RAG, and agentic AI, using FastAPI/Flask and MLOps pipelines.
Build and deploy AI-powered expert systems for legal, tax, and compliance using RAG, custom agents, and MLOps/LLMOps pipelines in Python and cloud environments.
Oversee independent security validation for an organization’s AI/LLM ecosystem, conducting adversarial testing and control assessments to ensure models, APIs, and infrastructure are secure and compliant before deployment.
The Manager: AI Architecture is responsible for designing, governing, and evolving the organization’s end-to-end Artificial Intelligence (AI) architecture. The role ensures AI solutions are scalable, secure, ethical,…
Design, fine-tune, and deploy large language models for healthcare applications, build RAG pipelines, and curate training data.
Leads independent security assurance for an organization’s AI/LLM ecosystem, conducting adversarial testing, validating controls, and ensuring AI solutions are secure, compliant, and production-ready.
Get to Know Our Team The Fulfilment Engineering team builds the technology that connects demand with supply across Grab’s services. We solve complex marketplace problems spanning allocation, driver experience,…
Builds RAG workflows and AI-agent pipelines using Teradata-Claude integrations in Python/SQL, optimizing data models and ETL/ELT for advanced analytics.
Designs and refines prompts for LLMs like ChatGPT and Azure OpenAI to power AI apps, automations, and chatbots that improve productivity and user experiences.
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