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Design and operate production PostgreSQL clusters at scale for Dell's Database Platform, building self-healing infrastructure and automation using PostgreSQL, Kubernetes, Ansible, and Python.
Lead AI Back-End Engineer designing and scaling an LLM-powered agent platform using Python/C# APIs, Semantic Kernel, and retrieval systems like pgvector/Azure AI Search. Focuses on agent orchestration, cost/latency optimization, and mentoring engineers.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
We are looking for an AI Engineer with Full-Stack experience to build scalable, production-ready Generative AI and Agentic AI applications across frontend, backend, AI, and cloud. Key Responsibilities Develop…
Senior Postgres Platform Engineer Evaluates new database technologies and tools in the industry. Sets database system administration and programming standards, applies database technology to business problems, manages…
A hands-on engineer builds and deploys AI systems for grocery chains, splitting time between customer sites and Afresh’s platform to turn field learnings into reusable tooling.
Senior Data Scientist building AI retrieval and knowledge systems for rare disease research at the NIH, working across the full stack from PostgreSQL vector search and LLM application engineering through Next.js/React interfaces and Kubernetes deployment.
Assess and document security controls for AI/LLM systems in AWS cloud environments, authoring RMF artifacts and bridging gaps between offensive security and DevSecOps pipelines.
Ключевые задачи: Разбирать запросы заказчиков и предлагать, каким классом решений их закрывать; Разрабатывать и улучшать RAG-пайплайны: поиск, реранжирование, сборка контекста, цитирование; Поднимать и оптимизировать…
Hands-on AI engineer deploying production-grade LangChain/LangGraph agentic systems for consulting clients — building RAG pipelines, tool integrations, and observability with LangSmith across cloud platforms.
Build Harbor Compliance's first end-to-end data platform — designing real-time streaming/CDC pipelines, vector database infrastructure for AI use cases, and a cloud warehouse/lakehouse layer using Kafka/Flink/Debezium, dbt, and Snowflake/BigQuery/Databricks.
Senior Full Stack Engineer building AI-native platforms with Python backend, React/Next.js frontend, RAG pipelines, and LLM integrations for an Italian AI startup.
Вам предстоит заниматься: Вывод ML/LLM-моделей в промышленную эксплуатацию: упаковка, деплой и сопровождение инференс-движков (vLLM, Triton Inference Server, BentoML) на Kubernetes (CPU/GPU); развитие и поддержка…
The Senior Data Engineer will design, build, and maintain end-to-end data pipelines and operational software applications to support Apple's Pacific supply chain operations. The role involves utilizing a diverse tech stack including Python, SQL, orchestration tools, vector/graph databases, and AI/LLM frameworks to operationalize data for business decision-making.
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
The Senior Site Reliability Engineer ensures the reliability, performance, and operational health of Rimini Street's Agentic AI ERP platform. The role involves managing Kubernetes infrastructure, AI agents, LLM gateways, and RAG services while driving incident response and automation.
The Data Platform System Administrator will manage and optimize a diverse ecosystem of relational, NoSQL, OLAP, and vector databases to support data reliability and AI-powered workflows. The role involves maintaining data pipelines, implementing infrastructure as code, and ensuring system security and observability.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
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