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Leads AI strategy for a global product company, designing and scaling recommendation systems, user search, and autonomous agentic models (LLMs, RAG, orchestration) to improve discovery and personalization at scale.
Build and maintain CI/CD pipelines, containerize applications, and optimize cloud infrastructure to deploy and monitor multi-agent media tools using MLOps/DevOps practices.
Build a greenfield AI-powered reporting layer that turns plain-English questions into trusted SQL queries, charts, and dashboards for enterprise portfolio management.
Build and ship secure, AI-powered cloud-native platforms using ASP.NET Core, React, and Azure, while embedding AI workflows into engineering practices.
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Build and maintain full-stack .NET and Azure applications using C#, JavaScript/TypeScript, and modern frameworks like React or Angular.
Design and deploy AI-driven automation solutions (RPA, Python, APIs) for client operations, embedding with teams to scope and deliver production-ready workflows that cut costs and boost efficiency.
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
Senior engineer designs, builds, and integrates enterprise solutions using AI/ML frameworks (e.g., PyTorch) and ERP systems, coordinating projects from design to deployment while ensuring on-time, on-budget delivery.
Location Singapore About the Role We are looking for a Full Stack Engineer – Generative AI & Agentic AI to design, develop, and deliver modern enterprise applications while leveraging Generative AI and Agentic AI…
As a part of the Central AI-Core Studio & Delivery team, this role would require you to drive the design, build, and production delivery of AI-enabled applications for our core business lines. Key Responsibilities…
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Build and deploy LLM-driven AI agents and generative solutions using Azure OpenAI, LangChain, and Hugging Face, focusing on RAG pipelines, multi-agent systems, and responsible AI.
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.
Build AI-powered data pipelines and analytics for biopharma clients, transforming complex datasets into platform features using Python, LLMs, and cloud-native tools.
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms to deliver enterprise AI solutions.
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise…
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
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