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Senior AI Engineer builds secure RAG/LLM systems and NLP pipelines for defense intel, integrating legacy data and ensuring DoD compliance.
This early-career role involves designing and deploying AI-powered applications and cloud-native solutions for federal clients using AWS and Azure. The engineer will work with senior staff on RAG workflows, AI agents, and infrastructure automation while supporting digital transformation initiatives.
Lead the end-to-end development of client-facing GenAI web applications in Brussels, integrating LLMs and orchestrating AI logic using Python and Next.js.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from architecture to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
This role involves building and maintaining the data platform and backend services that power AI features for an educational platform. You will design data models, manage ingestion pipelines, and ensure system reliability in a production environment using Python, SQL, and AWS.
Design and operate the data platform behind Instructure's AI features—data models, pipelines, and backend services using Python, SQL, AWS, and relational/graph databases.
Builds and deploys production-grade GenAI/Agentic AI systems using LLMs, RAG pipelines, and multi-agent frameworks like LangChain/AutoGen, focusing on scalability, observability, and cloud integration.
Build production-grade GenAI applications for clients in Sofia—implementing agentic workflows with LangGraph, RAG pipelines with vector databases, and LLM API integrations using async Python and FastAPI.
The Forward Deployed AI Engineer will work on-site with clients to design, build, and deploy AI agents and automated workflows using Python, LLM APIs, and agentic frameworks. This role requires a blend of technical engineering skills and client-facing consulting to solve operational inefficiencies for small and mid-size businesses.
Builds and deploys AI agents and digital workers using LLMs, RAG, and enterprise tools to automate workflows and improve productivity in real-world business environments.
The Staff Software Engineer – Chapter Lead will lead a team of senior engineers to build and scale production-grade Generative AI solutions, including RAG and agentic workflows, within a financial services environment. This hands-on role focuses on driving the AI technology roadmap, establishing MLOps standards, and ensuring the reliability and security of AI systems.
Principal Software Engineer at Bankwest architecting and building AI-powered customer support platforms end-to-end using .NET, React/Next.js, and multi-cloud (AWS/Azure), driving the shift from NLU chatbots to agentic AI systems.
Principal Engineer builds AI-driven EDA workflows to automate ASIC physical design, using LLMs and agentic tools to reduce design cycles and improve timing/congestion outcomes.
Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
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