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Build and maintain backend services for an LLM gateway (routing, rate limiting, key management, observability) and support Kubernetes-based platform services, using Go, Rust, or async Python with Envoy, gRPC, and OpenTelemetry.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
The Senior Data Engineer will modernize and optimize NBME's data platform by building scalable data pipelines, data lakes, and AI/ML-ready data solutions on AWS. This role involves collaborating with cross-functional teams to support analytics and AI initiatives while promoting AI-assisted engineering best practices.
Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary The AI team is comprised of highly experienced designers, developers,…
Senior engineer owning the AI inference and runtime platform layer—serving open-weight LLMs on Kubernetes, building a microVM-based agent sandbox, and writing Rust/Python services for model lifecycle, autoscaling, and isolation.
The Lead Full Stack Developer will lead a team in building and architecting secure digital banking platforms using Angular, Node.js, and AWS serverless technologies. The role involves integrating Generative AI and LLM capabilities into enterprise workflows while ensuring compliance with financial regulations.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
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.
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.
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
The Senior AI Data Engineer will build and maintain AI-focused data infrastructure, specifically working with knowledge graphs, vector databases, and RAG architectures. The role involves developing LLM-integrated data pipelines to support advanced data processing.
Senior ML engineer builds and refines AI agents and RAG systems for internal document search at a large Russian company, focusing on prompt engineering, quality metrics, and production safeguards.
• Operate and monitor enterprise AI applications, including Claude Chat, HE T2A, and Cowork for SEA. • Manage Linux servers, Docker containers, NGINX, and systemd services in production environments. • Support and…
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.
Backend developer building scalable Java/Spring Boot services and APIs for UK government digital projects, with a focus on integrating agentic AI (LLM agents, RAG) into the engineering platform.
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