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Vous souhaitez participer à la construction d'une plateforme IA de nouvelle génération ? Vous êtes passionné(e) par l'intelligence artificielle générative, les architectures RAG et les LLM ? Vous aimez…
Роль: ML-инженер на создание рекомендательной системы Мы — холдинг, который создаёт сервисы нового уровня для крупных игроков финансового рынка, где комфорт, культура жизни, продуманность и точность пользовательского…
Build and maintain AI-powered web apps using Python, Django, FastAPI, and React; start as an intern, then move to commercial projects with mentorship.
Data engineer building a platform for processing unstructured data (documents, images, audio) for PKO BP bank, enabling semantic search, RAG and 'chat with data' tools. Day-to-day work spans Python/Rust services and pipelines, Qdrant vector indexing, embeddings/GenAI integration and DevSecOps operations, on a B2B contract in Warsaw.
GenAI Data Engineer building platforms for unstructured data processing. Responsibilities include developing online/offline pipelines, text extraction, and API integrations using Python and Rust, with a focus on semantic search and Qdrant indexing.
Hands-on Generative AI engineer building production RAG pipelines and LLM-powered features for a healthcare SaaS clinical assistant. Day to day: experimenting with open-source and hosted LLMs, tuning retrieval/embeddings, running evaluation and hallucination checks, and deploying on AWS/GCP/Azure with Docker/Kubernetes.
Design, build, and orchestrate autonomous AI agents using the Hermes Agent framework — implementing reasoning patterns (ReAct, CoT, ToT), vector-DB memory and RAG, tool/API integrations, and production observability and evaluation. The role is hands-on Python LLM engineering based in Weimar with remote flag set.
Senior AI Engineer owning the AI layer of an autonomous IT-operations platform that uses multi-agent LLM systems to detect, diagnose, and resolve infrastructure incidents. Day to day: building agent reasoning and planning pipelines, advanced RAG retrieval, and continuous learning in Python with frameworks like LangChain/LangGraph.
Owns the infrastructure where AI workloads actually run at AZX: the inference control plane serving open-weight LLMs across GPU clouds and customer Kubernetes clusters, plus a microVM-based agent-sandboxing platform for untrusted agent code. Daily work spans Rust systems programming, Kubernetes operators/autoscaling, and FastAPI control-plane services.
Holyweb, an outstaffing IT services company, is hiring a Middle/Middle+ DevOps engineer for a client project: keeping platform services resilient, automating environment provisioning, builds and deployments, and running services in the cloud. Core stack is Kubernetes (Kubespray), Helm, Linux, Ansible, Terraform and Docker, including air-gapped offline deployments.
Fullstack developer at RIS group building secure corporate digital products from scratch — intranet solutions, corporate service integrations, and LLM-based AI/RAG assistants. Day to day: Python/FastAPI and Node.js backends, React/Next.js frontends, plus PostgreSQL, Docker, and API integrations.
Associate-level full-stack developer at PwC Philippines (Makati) building AI-powered web applications for client engagements — integrating LLM APIs (OpenAI/Anthropic), RAG and vector search, plus React/Vue frontends and Python/Node/TypeScript backend services, working alongside consultants and data scientists.
Sigmatic is hiring a remote Data Engineer to build and run data pipelines — dbt transforms on a multi-tenant PostgreSQL warehouse and Python ETL on AWS — feeding an AI agent layer (AWS Bedrock, Qdrant) over healthcare, accounting, and operations data. The role emphasizes rigorous verification of AI-assisted code.
Senior backend engineer who owns the full backend lifecycle at an AI-first product company: designing scalable Python/FastAPI services and REST APIs, integrating LLM/AI services with PostgreSQL, Redis and vector databases, deploying with Docker/AWS, and mentoring junior developers. Full-time on-site in Gurugram.
Full-stack engineer designing and scaling Generative AI solutions (RAG, intelligent agents) for a UK technology organisation, moving proof-of-concepts into production-grade platforms. Core stack: Python/FastAPI or TypeScript/Express backends, React frontends, AWS/Azure, Docker/Kubernetes, and vector/SQL databases. Active UK SC clearance required.
Builds and maintains Python and Node.js backend services and develops LLM-powered applications — RAG pipelines, MCP servers, and AI agents — integrating AI models via API or locally while evaluating accuracy, performance, and cost. On-site role at Hacettepe Teknokent, Ankara; stack includes MySQL, REST APIs, and Git.
POSITION SUMMARY: The Senior Platform & Infrastructure Engineer is the principal technical contributor within the NXHS Corporate IT Platform & Operations team. This is a dual-mission role: the primary focus is…
Обязанности: Управление группой DevOps, планирование, декомпозиция задач, контроль выполнения Ведение, планирование и развитие инфраструктуры: Ведение реестра серверов проекта; Постановка и контроль задач для…
Senior GenAI/AI-ML engineer at Agilisium designing and deploying production-grade Generative AI solutions: LLM-based applications, RAG pipelines, and AI agents using Python, LangChain/LangGraph, FastAPI, vector databases, and cloud AI/ML services. Role is for an in-person walk-in drive in Chennai; 4-10 years experience.
O MIND é o braço de inovação da Multiplan, hoje dona de 18 shoppings pelo Brasil e diversos outros empreendimentos. Atuando há 45 anos no mercado, atualmente passamos por uma grande transformação digital, e contamos…
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