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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.
AI Application Engineer (Part-Time) Location: Argentina, Brazil, Peru, Colombia, Costa Rica, Mexico Department: Workana Premium Workplace: remote Employment Type: full Description Client: medxprts.ai Location: Remote…
Senior role building scalable data pipelines, semantic layers, and automated analytics for a major bank using Python, SQL, and distributed systems.
ALM Services Technology Group develops end–to–end Web and Mobile Solutions. We work closely with customers usually in long term relations. Our mission is to create the best possible environment of work for our people ,…
Senior AI Engineer We’re looking for a Senior AI Engineer to help build the technical foundation for Patsnap’s next phase of AI transformation. You’ll design and develop the knowledge and context infrastructure that…
We are looking for a highly experienced Senior Data Scientist to lead the design, development, and implementation of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions . The successful…
🚀 What You'll Do Develop AI platform components, including AI Agents , MCP Servers , and orchestration services. Build scalable backend services using Java and/or Python . Develop REST APIs, event-driven services,…
Build and deploy AI-powered systems like LLM apps and RAG pipelines for enterprise clients, integrating models into production while maintaining scalable data pipelines and MLOps workflows.
AI/ML Engineer designing and deploying GenAI, RAG, agentic frameworks, and ML models on Luma's fintech platform, using Python, ML libraries, vector databases, and optionally AWS SageMaker/Bedrock.
Build and maintain AI-powered web apps, cloud platforms, and automation tools using JavaScript/TypeScript, React, Node.js, Python, and cloud services like Azure/AWS.
Senior DevOps Engineer building and scaling cloud-native infrastructure, Kubernetes clusters, and AI serving platforms using IaC, GitOps, and observability tools.
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.
Build and operate the ML infrastructure powering a global AI assistant, including training, deployment, inference, and observability systems in Python and PyTorch/JAX.
Build and ship LLM-powered AI agent workflows that reliably execute multi-step tasks, integrate tools, and turn probabilistic model outputs into predictable user experiences.
Design and build AI-powered data architecture and agents for enterprise analytics, using Python, Snowflake, DBT, and LLM frameworks to deliver trusted, scalable data products.
Role Overview We are hiring a hands-on engineer with strong capabilities in data pipelines and applied AI (GenAI) to build and support our AI-driven platform and Datalake platform. Key Responsibilities Own the…
Build and scale enterprise AI applications for aviation using React/Next.js, Python/FastAPI, and Azure OpenAI, integrating LLMs and deploying on AKS.
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
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