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Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
The Architect will lead the design and development of JAGGAER's next-generation AI and agentic platform, integrating LLMs, multi-agent systems, and MLOps into their procurement and supply chain software. This strategic role requires deep technical expertise in full-stack engineering, AI frameworks, and cloud-native architecture to drive autonomous workflows.
Backend .NET developer working on AI-integrated services, designing, developing, and optimizing backend systems with REST APIs, SQL/MongoDB, and Elasticsearch for clients in Rennes.
This role involves building AI-driven data ingestion pipelines and a unified data model for pharmaceutical CMC processes using Python, SQL, and LLM orchestration frameworks. The engineer will develop GxP-compliant infrastructure to integrate data from various laboratory systems and external partners.
This Data Scientist role focuses on designing and deploying Generative AI and Agentic AI systems to automate business workflows like claims processing and underwriting. The position involves working with stakeholders to solve complex data problems using LLMs, orchestration frameworks, and advanced analytics.
Lead the architecture and implementation of enterprise-scale AI systems combining generative AI, autonomous agents, and knowledge graphs using Python, LLM frameworks, and graph databases like Neo4j or Amazon Neptune.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
Senior AI Engineer/Architect at a large engineering services firm, designing and implementing AI solutions (LLMs, RAG, agents) for clients—covering strategy consulting, PoC development, scalable architecture, and MLOps governance.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
Director-level AI Architect at PwC's Data & Analytics Advisory practice in Bengaluru, designing ML pipelines, LLM serving/GPU infrastructure, and LLMOps solutions for clients using cloud platforms and frameworks like MLflow, DeepSpeed, and LangChain.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
Senior AI/ML Software Engineer on NVIDIA's Enterprise Agentic AI Platform team, designing and deploying LLM-powered agentic applications with RAG and orchestration frameworks to automate workflows across Engineering, Operations, and Manufacturing.
Senior AI Engineer designing and delivering production-grade RAG pipelines, agentic workflows, and LLM-optimised systems using Python, LangChain/LangGraph/LlamaIndex, and cloud infrastructure.
Build and maintain LLM-based workflow orchestration, RAG pipelines, and test automation for automotive control software at a VW Group company, primarily using Python, LangChain/LangGraph, and CI/CD tooling.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
Design and deliver production-grade ML and Generative AI systems—including LLMs, RAG, and Agentic AI workflows—using Python, agentic frameworks, and major cloud platforms as an individual contributor on Fortive's AI and Automation team.
Prototype, develop, and deploy AI-driven applications (especially LLMs) for media production systems at CBC/Radio-Canada's AI Lab, working across the full lifecycle in cloud architectures using Python/TypeScript/Java.
AI Engineer at Sanofi designing and deploying Generative AI, RAG, and Agentic AI solutions for commercial operations using Python, LangChain, vector databases, and AWS/GCP.
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