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Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Build and deploy generative AI models (LLMs, multimodal) using Python, PyTorch, and Azure; engineer features, evaluate models, and ship solutions to production.
Builds backend services and retrieval pipelines for CoLab’s AI-powered engineering knowledge platform, focusing on search, data architecture, and scalable systems to power intelligent design insights.
AI Engineer Stockholm · Full-time · About At Uniplay, our vision is simple: Make Corporate Learning Fun. We're building something different — an AI-native company where games, data, and hyper-personalisation…
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Own the enterprise search roadmap for Simpplr’s AI assistant (Magnus) and platform, driving relevance, retrieval, and RAG-powered answers while collaborating with AI and search engineers.
Build and run the Azure-based infrastructure that powers an AI merchandising platform, owning CI/CD, Kubernetes, and LLM integrations while ensuring scalable, observable production systems.
Build and ship AI agents end-to-end: design LLM-powered backends with RAG, vector search, and event streaming, then expose them via modern Vue/React frontends.
Design and deploy AI-powered cloud infrastructure using Terraform, Kubernetes, and RAG pipelines on Azure/AWS/GCP for a large-scale system serving ~300k users.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, ensuring alignment with AI governance, risk controls, and regulatory requirements.
Senior Data Engineer builds and scales Python-based data pipelines (Pandas, PySpark, dbt, Airflow) on Snowflake/BigQuery, ensuring reliability and performance for analytics and AI workloads.
Leads cloud and AI platform engineering projects, mentors teams, and advises clients on AI-native infrastructure, cost governance, and agentic workflows using tools like Terraform, Kubernetes, and AWS Bedrock.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader…
Builds scalable microservices and agentic workflows using Python, integrating LLMs and RAG pipelines into production systems while ensuring AI reliability and engineering quality.
The Role This is a hands-on engineering role at the intersection of GTM and AI. You build the systems that help Sales, Marketing, and CS work on the right things: automated lead identification, scoring models that flag…
Build and scale distributed backend services in Go and Django to power an AI-native research platform, handling high-volume data and integrating retrieval-augmented generation (RAG) workflows.
Design and build AI solutions, agents, and LLM-based apps for enterprise financial services, integrating with systems and APIs.
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
Senior AI Engineer builds enterprise AI solutions like chatbots and copilots, integrates LLMs via APIs, and advises on secure AI adoption across a large organization.
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
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