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Salary: £40,000 - 55,000 per year Requirements: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines,…
Software Engineer building agentic AI systems for a major airline client via DRIMO, designing LLM-integrated flows, backend services in Java/Spring Boot, and GCP serverless components in a hybrid setup.
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
Develops GenAI applications from concept to production, integrating LLMs, RAG, and agentic workflows into secure enterprise systems; bridges client needs with engineering teams.
The Finance Data Engineer will build and maintain automated, AI-driven finance pipelines and agentic workflows to ensure data sovereignty and compliance. The role involves integrating SAP and other financial systems while implementing strict data classification and validation frameworks.
Builds AI-driven data pipelines and predictive models to optimize retail operations like demand forecasting, inventory allocation, and marketing attribution using Google Cloud (BigQuery, Vertex AI).
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Senior Java/AI engineer at a digital consulting firm, responsible for full-lifecycle development of client applications using Java, Spring Boot, microservices on Azure, and LLM/AI technologies including RAG, AI agents, and vector databases.
Design and build autonomous AI agents using LLMs and agentic frameworks to streamline merchant communication and reduce operational costs in Rakuten’s ecommerce ecosystem.
Builds autonomous AI agents to automate creative content generation (images, videos) for P&G’s marketing platforms using multi-modal LLMs like Gemini, Imagen, and Veo.
The Senior AI Agent Engineer will design and develop autonomous AI agents to automate creative content workflows using multi-modal LLMs and agentic frameworks. The role involves building RAG pipelines, implementing evaluation frameworks, and deploying solutions on GCP to support P&G's marketing asset generation.
Industry/Sector Not Applicable Specialism Customer Management Level Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client…
Industry/Sector Not Applicable Specialism Customer Management Level Senior Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse…
Transform Your Career as AVP, Marketing Technology and Operations Ready to lead a radical, high-velocity transformation of an enterprise go-to-market engine? Trimble is looking for a visionary executive to architect…
Leads full-stack development and AI agent integration for Citi’s applications, managing teams to design scalable, secure systems supporting complex AI workflows using React, Python/Java, LangChain, and cloud infrastructure.
Leads contact center testing and automation for PwC’s global clients, designing test suites for IVR, chatbots, and AI-driven workflows while managing teams and ensuring quality in CCaaS deployments.
Designs and implements enterprise-scale AI solutions, focusing on agentic systems, RAG architectures, and model provider integrations to build scalable, production-grade AI systems for media applications.
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.
Designs AI-driven conversational systems and architectures, focusing on LLM-based workflows, agent orchestration (e.g., LangGraph), and Azure AI tools to enable scalable, observable, and secure AI solutions for enterprise clients.
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.
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