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Designs and architects enterprise-scale AI solutions, integrating LLMs, RAG, and cloud AI platforms like Azure AI and AWS SageMaker into secure, scalable systems.
Build and maintain the core AI platform layer for a fast-scaling SaaS company, designing cloud-native Python APIs on AWS and integrating LLM services.
Owns AI/agentic product development from concept to launch, driving roadmaps, requirements, and stakeholder alignment for multi-team delivery of AI-powered solutions.
Design and enforce security controls for AI platforms, LLMs, and GenAI workflows, performing threat modeling and architecture reviews to mitigate risks like prompt injection and data leakage.
Build and scale an agentic AI platform for the global hospitality industry, designing multi-agent workflows, LLM pipelines, and a data lake to automate MICE processes and power predictive revenue tools.
Build and deploy generative AI solutions and AI agents using Python, LLMs, and AWS for a U.S. insurance client, integrating APIs and cloud services.
Design and lead enterprise cloud migrations, infrastructure modernization, and AI-driven solutions using Azure and AWS for global clients.
Build and operate D-Wave’s internal AI platform, integrating LLM tools, CI/CD pipelines, and cloud services to automate workflows and accelerate quantum-computing development.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Lead a team to design, build, and maintain scalable data pipelines and ETL/ELT processes using big data tech like Spark and cloud platforms such as Azure or AWS.
Responsibilities . Design, implement, and maintain cloud infrastructure using Terraform and IaC principles. . Build and manage AI platform environments across Azure, AWS, . Develop reusable Terraform modules and…
Build and extend Dolby’s centralized agentic AI platform, integrating AWS Bedrock agents with GitLab CI/CD to orchestrate secure, cost-aware AI workflows for engineering teams.
Secure AWS cloud environments and AI-driven pipelines for a healthcare supply-chain platform, using Wiz CNAPP, Code-to-Cloud tracing, and LLM guardrails to prevent vulnerabilities and adversarial attacks.
About Univers Univers provides the world's most comprehensive decarbonization system. Our EnOS platform connects operational technology with cloud intelligence to deliver real-time energy optimization, carbon…
JobDescription We are seeking a self-motivated Full Stack Developer to join our agile squad, capable of delivering end-to-end solutions on cloud infrastructure. The ideal candidate will have a strong grasp of modern…
Senior DevOps Engineer (AWS/IA) Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. - Remoto We are still looking for the very Top…
Designs and deploys Generative AI solutions (LLMs, copilots, agents) to automate enterprise workflows, focusing on prompt engineering, RAG architectures, and responsible AI deployment with Azure OpenAI/AWS Bedrock.
Build production-grade GenAI apps using LLMs, RAG pipelines, and AI agents with Python/FastAPI, optimizing for performance and cost.
Builds and maintains scalable backend services and web apps for AI agent lifecycle management using Go, Python, TypeScript, AWS, CockroachDB, and Datadog.
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