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Ищем сильного инженера-архитектора для проектирования и реализации AI-решений в автоматизации закупочных процессов. Ты будешь отвечать за полную разработку решений: от интеллектуальных агентов и систем извлечения…
A senior Python engineer hired as a subcontractor in Warsaw to own the architecture and hands-on build of a data-collection/profiling system: core components and APIs (FastAPI/Django/Flask, PostgreSQL, Celery/RabbitMQ) plus low-level event capture (ETW/PresentMon/DXGI), profiling tools, and a web dashboard for test history and reports.
Job Description: Lead Agentic AI Engineer — Forward Deployed Engineer (FDE) 1.Role Overview & Mission As a Lead Agentic AI Engineer (Forward Deployed), you will operate at the intersection of applied GenAI…
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced…
PlaysDev — аккредитованная аутстафф-компания, специализирующаяся на DevOps-инженерах. За плечами 350+ реализованных проектов, в штате более 60 DevOps-специалистов. Мы развиваем внутреннее экспертное сообщество и делаем…
Develops, tests, and deploys AI applications (RAG, AI agents, workflows) for business use cases across departments, taking them from prototype to production in a continuous delivery environment. Stack centers on Python, LLM orchestration (LangChain, LlamaIndex, Dify), vector DBs, and public cloud platforms.
A founding Lead Data Engineer will architect and scale the data infrastructure for an AI assistant platform — building real-time and batch pipelines, analytics and vector-search systems, and setting the standards for the future data team. Core stack includes Python, PostgreSQL/NoSQL, Spark, Airflow, Kafka and vector databases.
Senior full-stack engineer who architects and ships enterprise Generative AI platforms and agentic systems end to end — owning a Python/TypeScript backend (FastAPI/NestJS, RAG pipelines, PostgreSQL and vector DBs) plus the consuming React/Next.js frontends, with self-managed Docker and CI/CD deployments.
Capgemini is hiring a Senior AI/LLM Consultant (hybrid, UK — Abingdon with occasional travel to a client site in Newbury) to design and build the 'AI brain' for autonomous telecom network operations: LLM agents, RAG and multi-agent workflows, semantic/graph search, and predictive analytics, using Python, LangChain/LangGraph, vector and graph databases, and Kubernetes/Docker deployment. UK security
A consultant role at Capgemini Invent (London, Manchester or Glasgow) building GenAI full-stack applications for clients — from LLM/RAG proof-of-concepts through to production solutions. Core stack: Python/FastAPI or TypeScript/React, GenAI frameworks like LangChain, LLMs (OpenAI, Anthropic, etc.), AWS/Azure, and Docker/Kubernetes.
Senior Solutions Architect at Capgemini designing autonomous network solutions for mobile and fixed telecom: network programmability (REST/YANG, NETCONF/RESTCONF, gRPC) plus scalable, token-efficient agentic AI architectures using LangGraph/LangChain, Vertex AI, RAG, and vector databases. Permanent, hybrid role based in London with occasional travel to M4 corridor client sites.
Designs, builds, and deploys end-to-end agentic AI systems for Capgemini's clients in Stockholm — multi-agent orchestration with LLMs, RAG pipelines, and frameworks like LangGraph, plus backend services in Python/Node.js deployed on AWS, Azure, or GCP. A client-facing consulting role with hybrid work options.
A senior hands-on engineer/consultant who embeds with client teams to architect, build, and ship production-grade AI and agentic systems, while also presenting to C-suite stakeholders and shaping engagements. Core stack: Python/TypeScript, React, LangChain/LangGraph-style agentic frameworks, LLMs, AWS/Azure/GCP, Docker/Kubernetes, and Terraform.
Our opportunity AI Engineer – Agentic Workflows We're seeking an AI Engineer – Agentic Workflows to design, implement, and own generative AI systems in production. You will independently lead technical initiatives,…
Overview In questa posizione lavorerai per implementare e ottimizzare soluzioni di automazione basate su AI, collaborando con il team per integrare nuove tecnologie nei processi esistenti. Sarai responsabile del…
Fullstack engineer building generative AI applications for a UK government & defence-focused technology firm: developing RAG and AI-agent proof-of-concepts and scaling them into production systems. Core stack: Python/FastAPI, TypeScript/React, GenAI frameworks like LangChain, AWS/Azure, Docker/Kubernetes, PostgreSQL and vector databases.
Malezan Group AB, a talent outsourcing firm scaling its Swedish ML/AI team, seeks an engineer to design, build, and deploy production-grade AI applications: LLM integration, RAG pipelines, vector databases, prompt engineering, and agentic workflows, using Python/TypeScript, LangChain/LlamaIndex, cloud platforms, and DevOps tooling.
Awisee is hiring a remote Lead AI Systems Architect to design and scale multimodal AI pipelines that turn raw social media content (video, audio, captions) into high-precision structured data products for social media intelligence and influencer marketing. The stack spans Python, PyTorch, Whisper, LLM orchestration (DSPy, Instructor, Pydantic), open-source model serving (vLLM, TGI), and vector dat
Junior AI developer at NaPopravku building AI health features (AI Doctor, Health Tracker): integrating LLMs and RAG, developing agents, embeddings/vector search, and model quality monitoring, mostly in Python alongside a PHP/Laravel backend. Remote or hybrid, for candidates with 1-3 years of experience; pays 150k-200k RUB/month.
Designs, builds, and deploys production-grade AI applications powered by LLMs — RAG pipelines, prompt engineering, and agentic workflows — bridging AI with robust backend software. Core stack: Python/TypeScript, LangChain/LlamaIndex, vector and relational databases, and cloud platforms (AWS/GCP/Azure) with Docker and Kubernetes.
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