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Designs and deploys AI/ML and LLM-based systems for fintech applications, integrating models into scalable cloud-native solutions using Python and AWS.
Job Summary: We are seeking a committed and skilled Mechatronic Technician to join our 24/7 food manufacturing facility team. This technician will be responsible for preventive maintenance, troubleshooting, and repair…
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
Research and deploy LLM-based solutions (e.g., RAG, fine-tuning) to optimize industrial processes, analyze technical documents, and mine scientific knowledge for Air Liquide’s energy and healthcare operations.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Job Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.…
Your Work Matters: The Business Unit Finance Team within FP&A is seeking a highly motivated Manager. The position will work as an integral member of an experienced and highly skilled Finance team and responsible…
Staff Engineer leading an applied AI team to take models from prototype to production across restaurant operations, digital ordering, and supply chain using Python, ML frameworks (PyTorch/TensorFlow), LLMs, AWS SageMaker/Bedrock, and modern data platforms.
The Generative AI Architect will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for strategic clients. This role involves hands-on solutioning, executive-level strategy, and practice-building leadership across various industries.
The AI Engineer will design and build agentic workflows and RAG pipelines to automate business processes using LLMs. This role focuses on orchestration, tool integration, and system evaluation rather than model training.
Lead enterprise red team and AI adversarial testing programs at MUFG, executing advanced attack simulations across network, cloud, and AI/LLM environments while mentoring operators and translating findings into risk-reduction actions.
The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
Designs and scales AI agent systems for Unity’s game engine, focusing on goal-directed behavior, task planning, and real-time decision-making in interactive environments.
Senior full-stack engineer designing and building enterprise healthcare software with Python, TypeScript, React, PostgreSQL, and GKE, including leading LLM integration into production applications at CVS Health in Galway.
Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant Ownership of intent detection systems, contact processing pipelines, and routing logic for automation…
Designs and deploys production GenAI systems (RAG, vector DBs, LLM integrations) for a military logistics platform, ensuring AI-driven autonomy in sustainment workflows.
Remote Senior Developer designing and implementing generative AI solutions using LLMs, Python, LangChain, and RAG architectures to build AI-powered applications.
Genesis10 is currently seeking a Backend AI Engineer - Remote for a contract position with a Global Medical Technology Company located in San Diego, CA. This is a 12 month contract opportunity. This position is 100%…
Designs and builds advanced agentic AI systems for planning, reasoning, and multi-agent collaboration, focusing on long-horizon tasks, memory systems, and edge deployment. Core tech: LLMs, RAG, agent frameworks, and model optimization.
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