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Build and orchestrate autonomous AI agents in Azure and Claude to automate software pipelines and deliver enterprise-grade AI-native solutions.
Build and deploy AI models end-to-end, from data pipelines to production, using Python and frameworks like TensorFlow or PyTorch.
Build and maintain cloud data pipelines in Snowflake and Databricks, ensuring clean, governed data for analytics and AI features while collaborating with data scientists and BI teams.
Leads AI-driven full-stack development, architecting backend systems in Node.js and frontend with React/Next.js, integrating AI capabilities into product pipelines while guiding a cross-functional engineering team.
Lead AI-driven full-stack development for a product company, owning backend (Node.js, Python), frontend (React/Next.js), and AI integrations (LLMs, RAG pipelines). Architect scalable systems, mentor engineers, and champion AI coding tools.
Owns and automates on-premises infrastructure, including GPU servers for AI/ML, while building secure CI/CD pipelines and observability stacks for local production systems.
Builds and maintains on-premises ICT infrastructure and GPU-enabled AI/ML compute, handling server lifecycle, automation, and Kubernetes clusters in a hands-on DevOps role.
Builds and maintains data pipelines on Databricks, integrates and cleans data from various sources, and collaborates with teams to ensure data quality and performance.
This role is for a Product Engineer at a fast-growing AI startup in London, where you will own features end-to-end and solve complex technical challenges at scale.
Designs and implements scalable cloud infrastructure and CI/CD pipelines using Kubernetes, OpenShift, and monitoring tools to ensure reliable deployments for an AI-driven governance tool company.
Builds and enhances an AI platform’s full stack (frontend/backend/cloud) with Angular/Tailwind, Flask, and PostgreSQL, while optimizing CI/CD pipelines and collaborating closely with the founding team.
Owns end-to-end development of chatbot/voicebot solutions using LLMs, NLU, and agentic AI, from prompt engineering to system integration, optimization, and safeguarding for enterprise clients.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Develops and maintains AI-driven systems for enterprise analytics, ensuring scalability, security, and performance while collaborating with cross-functional teams to deliver production-ready solutions.
The Senior Data Engineer will build and scale document processing pipelines, OCR/VLM models, and knowledge ingestion systems for retrieval-augmented GenAI applications within Singtel's new AI & Data Analytics unit.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Builds and deploys production-grade agentic AI systems (Python/React) for enterprise clients, focusing on agent workflows, RAG pipelines, and MCP integrations while maintaining DevOps/AgentOps practices.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
Builds AI-powered workflows by designing agent systems, integrating LLMs/tools, and ensuring reliability in production. Focuses on multi-step task execution, real-time interactions, and robust error handling across frontend/backend/AI layers.
Own and extend live LLM pipelines (RAG, content generation) in TypeScript/Next.js, improving reliability, quality, and cost while integrating with business systems.
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