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The Senior Software Engineer will design and build large-scale distributed platforms for observability, automation, and AI-driven reliability. The role involves developing platform services and telemetry systems to support infrastructure operations across storage, compute, and networking domains.
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.
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
This AI Engineer role involves designing, developing, and industrializing generative AI solutions using Google Cloud Platform, including RAG architectures and AI agents. The position requires strong Python skills and experience managing the full lifecycle of AI models from development to production.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
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.
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.
Lead Data Scientist driving AI, ML, GenAI, and Agentic AI solutions for Sanofi's commercial pharma operations, working end-to-end from design through deployment using Python, LangChain/LangGraph, cloud platforms, and Snowflake.
Design, build, and operationalize AI-driven solutions including RAG pipelines, enterprise copilots, and agent-based automation frameworks using LLMs, Snowflake, Power BI/Fabric, and Azure AI platforms for the Analytics & Reporting team.
Design, build, and deploy LLM-powered applications—RAG pipelines, enterprise copilots, and agent-based automation frameworks—using Python, Snowflake, Azure AI Foundry, and LangChain on top of enterprise data platforms at a medical technology company in Atlanta.
Build and manage CI/CD pipelines for ML workflows on Azure/Databricks, develop AI/GenAI agents and machine learning models, and handle model lifecycle management using Docker, Kubernetes, and GenAI frameworks like LangChain.
Design, build, and deploy LLM-powered applications (RAG pipelines, enterprise copilots, agent-based automation) integrated with Snowflake and Power BI/Fabric at Siemens Healthineers, using Python, LangChain, Azure AI Foundry, and Azure OpenAI.
The Staff Software Engineer will design and build scalable employee benefits solutions using C#, .NET, and React. The role involves working with distributed systems, cloud-native architectures, and integrating emerging AI agentic workflows and LLM frameworks.
This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
The Associate Solution Architect will assist in designing end-to-end enterprise solutions, including cloud-based systems and AI-enabled applications. The role involves translating business requirements into technical designs, creating architecture documentation, and collaborating with engineering teams to ensure security and scalability.
The Solution Architect will design and deploy AI environments, manage MLOps/LLMOps pipelines, and implement RAG systems across various infrastructure types. The role involves hands-on engineering, AI governance, and mentoring teams while collaborating with global stakeholders.
The Solution Architect will design and implement scalable multi-cloud and Generative AI solutions for clients, bridging business requirements with technical execution. The role focuses on AWS, Azure, and GCP environments, utilizing LLMOps, RAG, and agentic AI frameworks to deliver production-grade platforms.
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