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About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
This role involves building and maintaining full-stack cloud applications for Generative AI, primarily using Python or .NET on Microsoft Azure. The developer will own the full lifecycle of AI-powered solutions, including RAG and agent-based architectures, while occasionally contributing to React/Next.js frontends.
Lead a team of engineers to build and deploy generative AI features, including conversational and agentic AI systems, for Anaplan's scenario planning platform.
Design and evolve a large-scale, event-driven microservices backend for Wix's User Voice platform, which processes millions of user feedback signals through an AI pipeline (LLMs, NLU, semantic clustering) to produce actionable product insights.
This role involves building agentic AI systems to support rare disease research at the NIH, focusing on conversational workflows that capture structured data from clinical and scientific sources. The position requires extensive experience in production-grade LLM application engineering, including prompt engineering, structured output, and system evaluation.
The Senior Data Scientist will build and maintain AI-driven retrieval systems and knowledge layers to support rare disease research at the NIH. The role involves end-to-end development of data pipelines, semantic search, and user interfaces using Python, PostgreSQL, and LLM-based architectures.
Own and maintain ETL/ELT data pipelines, databases, and workflow orchestration for a credit risk research initiative at NUS's Asian Institute of Digital Finance, with opportunities to contribute to AI/LLM research.
Design, build, and ship end-to-end AI-powered applications—retrieval pipelines, LLM orchestration, backend APIs, and user interfaces—for a Singapore government job platform, primarily using Python, LLM APIs, and vector databases.
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
Build and deploy AI-powered applications and agents using LLMs for engineers and operators in a rocket factory and launch platform, shipping reliable software in Python, Go, React, and TypeScript.
Build AI-powered applications and agents for rocket engineering teams using Python, Go, and LLM frameworks, deployed on AWS and Kubernetes.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
Lead application development projects building secure APIs, system integrations, and AI-enabled capabilities (LLM APIs, RAG, AI agents) on cloud platforms (AWS, Azure, GCP), managing full SDLC with Agile/DevOps practices.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Senior full-stack engineer owning features end to end on Fleet360, a fleet management SaaS, using Node.js, TypeScript, and SQL databases, with a strong emphasis on AI-assisted development workflows.
The Applied AI Engineer will leverage generative AI tools to enhance business analysis, documentation, coding, and research processes. The role requires a quantitative degree and at least two years of experience in data analytics or AI implementation.
Citigroup is seeking a Senior Software Engineer to develop full-stack, cloud-native applications using Java or Python and modern JavaScript frameworks. The role involves building scalable systems with potential exposure to generative AI technologies.
Job Description Collaborate with algorithm and backend engineers to design and build high-performance machine learning infrastructure, tooling, and frameworks. Develop scalable solutions to drive one of the following…
Full Stack Engineer building an AI delivery platform for banking, insurance and fintech clients, owning features end-to-end from React/TypeScript frontends through Node.js/Python/Go backends and Oracle/PostgreSQL data layers to Azure deployment.
Lead Data Engineer at an early-stage London AI startup, owning data architecture from the ground up—building real-time pipelines, analytics infrastructure, and vector/ML data workflows using Python, Spark, Airflow, Kafka, and vector databases.
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