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Staff ML Engineer designing, building, and scaling production ML/AI systems—including LLMs, embeddings, recommendation systems, and forecasting—on a modern data platform using Python, SQL, and tools like Snowflake or Databricks for a SaaS client-experience platform serving appointment-based self-care businesses.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
This Senior Data Engineer role involves building scalable data pipelines and lakehouse solutions within the Microsoft Azure and Fabric ecosystem to support generative AI and agent-based applications. The position is an initial three-month contract with the potential to transition into a permanent role.
This Staff SRE role focuses on building, managing, and scaling Google's data indexing pipelines for products like Search and YouTube. The engineer will lead reliability initiatives, optimize distributed systems, and develop infrastructure for ML-based retrieval and model training.
The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
Senior AI Engineer leads development of LLM-based language and voice technologies for healthcare, focusing on RAG, classification, and fine-tuning to enhance patient-provider interactions via conversational AI systems.
Kulu is seeking a Senior AI Full Stack Engineer to build AI agents for software onboarding using React, Python, FastAPI, and various AI/ML technologies. The role involves designing production AI systems, integrating LLMs, and working with computer vision in a high-growth startup environment.
Build multimodal embeddings and LLM-based representations for Reddit Ads, using NLP/CV models to power relevance, targeting, and ranking systems.
This role involves developing scalable, AI-powered full-stack applications using Java, Spring Boot, and modern frontend frameworks like React or Angular. The developer will integrate Generative AI, LLMs, and RAG architectures into enterprise systems while managing microservices and cloud-native deployments.
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
The Data Engineer will build and maintain reliable ELT pipelines and data models within an Azure-based environment to support analytics and AI products. The role involves working in a cross-functional squad to ensure high-quality, governed data integration across the company's professional services subsidiaries.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
Projetar, desenvolver e implantar soluções de IA Generativa e LLMs em escala. Desenvolver agentes inteligentes, aplicações baseadas em LLMs e integrações via APIs. Atuar com LLMOps, garantindo qualidade, segurança,…
Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
Designs and maintains end-to-end data systems for a Singapore government agency, focusing on pipelines, storage, and data quality while contributing to broader system architecture.
Full Stack AI Application Engineer at FPT Software in Singapore, responsible for hardening AI prototypes into production-grade solutions using React, TypeScript, Node.js, Python, and Azure AI services.
Builds AI-enhanced full-stack applications by designing frontends, APIs, and data services while integrating AI tools and capabilities into enterprise solutions.
Leads AI-driven personalization initiatives (reinforcement learning) for Braze’s Decisioning Studio, building full-stack solutions (frontend to ML pipelines) and mentoring engineers to deliver scalable, user-centric AI experiences.
Designs and builds AI-powered features for a CRM platform using C# and .NET, including agents, copilots, and RAG systems, while ensuring reliability and security.
This role involves building and deploying LLM-based agentic solutions for healthcare insurance payment integrity. You will work across the full machine learning lifecycle, developing data pipelines and evaluation frameworks to create explainable AI tools for claims handling.
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