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Consults clients on AI-driven process transformations, designing and deploying generative AI solutions (LLMs, agents, RAG) to solve business challenges while collaborating with tech teams on cloud, DevOps, and system integrations.
Builds and deploys AI models and systems using LLMs, agentic frameworks, and Azure cloud tools to enable advanced search, retrieval, and automation for a tech company.
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
Full Stack Engineer using AI-assisted coding tools daily to build end-to-end web applications (Node.js/Python/Golang backend, React/Angular/Vue frontend) and integrate GenAI/LLM capabilities for a Singapore-based consulting firm.
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
Senior architect designing and delivering AI-first, cloud-native applications and solutions for Microsoft’s Global Center Innovation and Delivery Center, focusing on full-stack engineering, AI integration (Azure AI services, GitHub Copilot), and scalable DevOps practices.
Builds enterprise-grade AI-powered full-stack applications by integrating LLMs, RAG pipelines, and agentic systems with cloud-native microservices on Azure/AWS.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
The AI Engineer will design, build, and deploy enterprise-grade Generative AI applications, including RAG solutions and agentic workflows, to support digital transformation. The role involves hands-on development with LLMs, Python, and cloud AI platforms while ensuring system performance, safety, and governance.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
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.
Hands-on AI & Automation Engineer designing, building and operating agentic AI solutions using Microsoft Foundry, Copilot Studio, Power Platform, Azure and orchestration frameworks like Semantic Kernel/LangChain within a large superannuation fund's London office.
Design and build AI-native multi-agent systems for sales workflows using LLMs, RAG, and agentic frameworks while acting as product owner—managing backlogs, roadmaps, and stakeholder alignment.
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 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.
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.
Builds and supports AI agents, copilots, RAG workflows, and automation solutions for Acosta Group, using GenAI/LLM frameworks (LangChain, LangGraph, CrewAI, etc.) and enterprise platforms like Azure AI and Microsoft Copilot Studio.
The Solutions Architect will design and deploy enterprise-grade agentic AI solutions for clients, integrating Mastercard's payment technology into complex environments. This role involves hands-on technical leadership, architecture design, and collaboration with cross-functional teams to ensure secure and scalable AI implementations.
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.
Leads AI agent and copilot development for enterprise workflows, designing reusable components and integrations while ensuring scalability, security, and responsible AI deployment.
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