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Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
Build and maintain Python backend services and APIs for ML and Generative AI applications—including LLM, RAG, and AI agent workflows—deployed into cloud/GCC environments with a focus on Responsible AI controls and production support.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
This role involves designing and implementing automation frameworks and LLMOps solutions to streamline client operations within a managed services environment. The engineer will focus on CI/CD, infrastructure as code, and deploying agentic AI applications to production.
Lead and scale Acosta Group's enterprise AI architecture and platform engineering, defining reference architectures and building reusable AI platform services across GenAI, agentic AI, and RAG using Azure, Azure AI Foundry, Kubernetes, and MLOps/LLMOps.
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Builds and deploys AI-driven systems (RAG, agents) for Thomson Reuters’ investigative platform CLEAR, integrating AI into full-stack web apps, APIs, and enterprise workflows for legal/tax/compliance domains.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
The Principal AI Engineer will lead the architecture and development of AI agents and machine learning systems for Venture Global LNG. This role involves hands-on prototyping, setting engineering standards for cloud and on-premises environments, and mentoring senior engineers to build scalable, safety-first AI solutions.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
Lead hands-on design and delivery of AI solutions, agents, copilots, and RAG workflows using Azure AI and Databricks, while establishing reusable engineering patterns and guiding teams from prototypes to production.
The Software Development Engineer will build and scale conversational advertising experiences on Amazon Search using Large Language Models. The role involves developing low-latency distributed systems, implementing LLMOps, and creating data pipelines to deliver personalized AI-driven shopping experiences.
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients…
Leads enterprise-wide GenAI and agentic AI projects for Citi’s Controls Technology platform, architecting production-ready solutions using foundation models, RAG, knowledge graphs, and multi-agent orchestration to enhance operational efficiency and business value.
Leads the design, scaling, and governance of Acosta Group’s enterprise AI platform, including GenAI, agentic workflows, and AI-enabled automation, ensuring reusable, production-ready solutions across business domains.
Lead hands-on design and delivery of AI agents, copilots, and RAG solutions using Azure AI and LLMs, establishing reusable patterns and guiding teams from prototype to production.
Oversees data infrastructure, pipelines, and governance for a major financial institution, ensuring secure, scalable, and efficient data collection, storage, and analysis to drive business insights and operational efficiency.
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
We are looking for a Senior LLM Developer / AI Full Stack Developer in Lithuania or Latvia to work remotely for our client. Key Responsibilities: Design and implement end-to-end GenAI solutions using Python. Build…
Australian Citizens with baseline clearance. able to obtain Negative Vetting Level 1. Essential criteria: 1. Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform,…
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