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Solution IT Inc. is looking for Sr. Applied AI Developer / SME for one of its clients in San Ramon, CA Job Title: Sr. Applied AI Developer / SME Required Skills: 7 years of professional software engineering, with at…
Design and implement LLM-based architectures (Agentic AI Factory, RAG, agent runtimes) for public-sector NLP systems at a Polish government research institute.
Builds, fine-tunes, and deploys large language models for banking use cases in secure environments, handling the full ML lifecycle from data prep to production inference optimization.
The Group Product Manager for Applied AI at DeepMind leads the development and deployment of generative AI solutions for media and entertainment. This role bridges the gap between AI research and enterprise impact by managing cross-functional teams, defining product strategy, and overseeing technical delivery.
The Senior AI Engineer is the technical cornerstone of the AI Accelerator delivery function, owning solution architecture, code quality, and the delivery of the team’s hardest technical work Wesfarmers OneDigital is…
Develops GPU-based flight simulators for training AI agents in air-combat scenarios, balancing physics fidelity, parallel environment scaling, and sim-to-real policy transfer.
Location: United States. Remote. Near Legence office preferredTravel: Yes, 10% Role Summary The E&C Segment Applied AI Lead implements AI solutions for the Engineering & Consulting business — on live projects,…
Location: San Jose, CA or Beltsville, MD preferred; RemoteTravel: Yes, 10% Role Summary The I&M Segment Applied AI Lead implements AI solutions for the Installation & Maintenance business — across operations,…
The AI Engineer will design, develop, and deploy generative AI applications, agents, and RAG solutions using Python, SQL, and Microsoft Azure. The role involves integrating these AI solutions into business processes while ensuring scalability, security, and compliance with data governance standards.
AI Engineer / AI-utvecklare – Göteborg Om tjänsten För kunds räkning söker MemoPeople en erfaren AI Engineer/AI-utvecklare till ett växande företag med bas i Göteborg. Vi söker dig med en stark bakgrund inom…
Senior AI Engineer designing and deploying production-grade AI agents and GenAI workflows on Azure for enterprise customers in a consulting context, taking solutions from prototype to production with full ownership of architecture and engineering quality.
The Forward Deployed AI Engineer builds and deploys AI-powered workflows and intelligence platforms into secure, air-gapped customer environments. The role involves hands-on development using Python, LLMs, RAG, and containerization technologies to turn satellite data into mission-critical tools.
We are looking for a remote Mid-Level AI Engineer with hands-on experience building and deploying Generative AI solutions. 📍 Remote within Europe. This is an engineering role focused on developing production-ready…
Elyos AI is seeking an Applied AI Engineer to build and scale AI voice agents for customer service. You will work across the full stack, designing LLM-based workflows and voice pipelines while collaborating directly with customers to deliver production-ready solutions.
Lead a team to design, build, and maintain data pipelines and AI systems for manufacturing and sustainability, using Python, Spark, dbt, and cloud platforms like Azure.
Design and build software solutions in Ottawa using Python, SQL, ETL data pipelines, AI model development/training, and Terraform-based CI/CD, while producing formal design documentation.
AI Engineer at IBM Client Innovation Centre Quebec (LGS) deploying and monitoring LLM/AI models into production using containers, CI/CD, and cloud AI services, while collaborating with data scientists on large-scale digital transformation projects.
Design and scale enterprise AI agent systems using Python, ML, NLP, and generative AI (RAG pipelines) for regulated industries like financial services.
The Senior Generative AI Engineer will design and deploy enterprise-grade AI solutions and intelligent agents using LLMs, RAG, and Azure cloud technologies. This role involves building scalable microservices and implementing MLOps practices within a professional enterprise environment.
Build and enhance Cloud Applied AI solutions like Gemini Enterprise by writing and testing production code, leading design reviews, reviewing peer code, and debugging issues across the full-stack, leveraging LLMs and ML infrastructure.
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