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We are looking for a Senior AI-Native Engineer to join our team at EPAM Systems in Poland. This position offers a hybrid work model — combining remote work with 3 days per week from one of our EPAM offices located in…
About Us Volante Technologies is the leading global provider of low-code cloud Payments as a Service solution for financial businesses. We are disruptors and innovators and we are growing fast. For the last three…
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟰𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟰𝟬 𝗟𝗣𝗔) Experience: 2+ yrs Location:…
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…
在腾讯，后台开发工程师不仅是“又快又稳”的问题解决专家，更是生态共创者。你将与技术团队一同沉淀优质代码，让它成为我们共有的宝贵资产。在不同的业务场景和技术发展阶段，你的架构思维也将帮助更多协作团队拓展新的思考。我们也珍视你的挑战精神，同时欢迎你一起参与团队愿景、文化和产品方向的探讨。 1.负责向量数据库系统的设计、开发与优化，实现高性能数据存储和查询； 2.研究应用向量索引算法（如LSH、IVF、HNSW等），提升检索效率与精确性；…
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
Build and maintain the core platform infrastructure supporting all Toss services—distributed systems, API gateways, and developer productivity tools. Work with Kotlin/Java, Spring Boot/Cloud, Redis, Kafka, and Kubernetes to improve performance, security, and reliability across a high-traffic fintech environment.
GMV is hiring an AI Software Engineer in Colombia to build and deploy generative AI applications for customers using LLMs, RAG, embeddings, vector databases and AI agents, integrated into full-stack Python solutions. The role spans development through production, working with Docker, Kubernetes, DevOps tooling and cloud platforms.
Senior full-stack engineer (hybrid in Cork, Limerick or Dublin) building and productionizing LLM applications — RAG pipelines, multi-agent workflows, Text-to-SQL — into secure, scalable services. Core stack: Python/FastAPI backends, React/Next.js frontends, PostgreSQL with vector search, and Docker/Kubernetes/Terraform on AWS/Azure/GCP.
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.
6-month contract role, on-site in Abu Dhabi, building production-grade backend services, microservices and APIs for AI/ML, LLM and intelligent-agent systems on a confidential end client's AI transformation programme. Core stack: Python (FastAPI/Django), Go or Java, Docker, Kubernetes, PostgreSQL, REST/gRPC.
Joins GMV's AI team to help clients embed Generative AI into their products and processes, building full-stack Python applications around LLMs, RAG, embeddings, vector databases and AI agents, and deploying them to production with Docker, Kubernetes, CI/CD and 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 AI Engineer at the Technology Innovation Institute to design, fine-tune, and deploy LLMs, vision-language models, and autonomous agentic systems in production. The role blends research and engineering, using Python/C++, PyTorch, DeepSpeed/vLLM, CUDA, vector databases, and agent frameworks like LangChain.
Technology Innovation Institute is hiring an AI Engineer to design, fine-tune, and deploy LLMs, vision-language models, and autonomous agentic AI systems. Day-to-day work spans model training (LoRA/QLoRA, RLHF), scalable low-latency inference with DeepSpeed/vLLM/TensorRT, and production deployment using Python, C++, CUDA, and cloud/edge platforms.
Lead Platform Engineer at Capgemini's Blue Harvest unit (Diegem, Belgium): architect and automate Azure (or on-prem) platforms for financial-industry clients, with an AI focus on deploying, serving and monitoring LLMs and multi-agent systems, while mentoring engineers and setting technical direction.
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
Hands-on Senior Agentic AI Engineer (posted as Senior Data Scientist) at Capgemini in Cairo who designs, builds, and productionizes LLM-based agents — RAG, multi-agent orchestration, tool calling — using Python, Agentic AI frameworks, and cloud/containerized deployment, with enterprise data integration and mentoring of junior engineers.
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.
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