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FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At…
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
Nous recherchons un(e) Ingénieur(e) IA spécialisé(e) en IA générative, dans le but de transformer des flux de travail et des données complexes en solutions intelligentes et automatisées qui stimulent nos opérations…
Designs, builds, and deploys autonomous AI agents and multi-agent workflows that automate real-world business processes, working with LLMs (GPT, Claude, Gemini, Llama), agent frameworks like LangChain/LangGraph, RAG, and vector databases, plus Python/TypeScript backend services on cloud platforms.
Early-career AI Engineer at AMD in Singapore building agentic AI and 'digital workers': designing LLM-based agents, RAG pipelines, and prompt/context engineering, then deploying and monitoring them in real business workflows using Python, agent frameworks, vector databases, and cloud/DevOps tooling.
Role Overview We are looking for a hands-on AI Engineer to design, develop, and deploy AI-powered applications leveraging LLMs, Agentic AI frameworks, and modern AI engineering tools. The ideal candidate should have…
Early-career AI engineer at AMD building agentic AI and digital agents: designing LLM-powered agents with reasoning and tool use, developing RAG pipelines and prompt/context engineering, and deploying AI solutions into real business processes. Core stack is Python, LLM platforms (OpenAI/Azure/Anthropic/Gemini), agent frameworks like LangChain, and cloud/container tooling.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Lead the design and optimization of advanced RAG pipelines and LLM fine-tuning for enterprise-scale deployment, focusing on low-latency, high-relevance systems using Python, PyTorch, and LangChain.
AI Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it.…
Role Overview: Lead the design and optimization of advanced RAG pipelines and model finetuning processes. Bridge the gap between prototype and enterprise-scale LLM deployment. Key Responsibilities Pipeline Ownership:…
Senior backend engineer on Constructor's ML Infrastructure team, building and operating high-load distributed Python services and platform capabilities (model serving incl. LLMs, data pipelines, vector storage) so ML and product teams can run ML at scale. Fully remote, primarily AWS/Kubernetes.
Principal-level (Level IV) engineer who leads the architecture, development, and deployment of BCT's NerveCenter AI platform — designing cognitive architectures, multi-agent orchestration, and RAG pipelines that combine LLMs and deep learning for secure government/defense environments. Core stack includes Python, Java/Go/C++, PyTorch, TensorFlow, LangChain, vector databases, and secure cloud (GCP
Designs, builds, and deploys agentic AI solutions (LLM agents, RAG, multi-agent workflows, tool calling) for enterprise clients at a Kuwait-based system integrator, working mainly in Python with LangChain/LangGraph, vector databases, and cloud AI platforms like Google Vertex AI, Azure OpenAI, and Anthropic Claude.
OTAKOYI is looking for a smart and eager Senior AI Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us! Our Partner has an advanced, enterprise-grade…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Designs and builds agentic LLM systems (multi-step reasoning agents, RAG pipelines, MCP integrations) while also handling data engineering work such as ETL pipelines, data warehouse modeling, and ML/NLP tasks. Core stack: Python (FastAPI, PySpark, Airflow), LangChain/LangGraph, vector databases, PostgreSQL/Snowflake/BigQuery, and Hugging Face/BERT models.
Present Technologies, ranked on the Top 2 of the Best Place to Work for in Portugal, is seeking for highly-skilled Senior Fullstack Developers to join our development team. From large-scale digital platforms to…
SRE role at SberTech keeping an enterprise AI platform (ChatGPT-style chat with RAG on Qdrant) reliable in production: owning SLOs, on-call and postmortems, running Kubernetes, CI/CD and IaC, building observability with Prometheus/Grafana and OpenSearch, and tuning PostgreSQL, Kafka, Redis and S3. Hybrid work in Moscow.
Job Description Summary Job Description Summary As a Staff AI Engineer, you’ll lead enterprise full stack and AI platform architecture at scale for multiple initiatives across the company. You’ll design and ship…
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