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Wepoint is seeking a Senior DevOps AI engineer to join their innovation team to design, implement, and maintain infrastructure and CI/CD pipelines for AI solutions in production. The role involves working in an agile environment with data scientists and AI developers to industrialize and automate AI deployments.
Apptoza Inc. is hiring a full-stack engineer to build and scale AI-powered enterprise applications using Python, FastAPI, Next.js, Node.js, and Spring Boot on AWS. The role involves designing APIs and integrating GenAI technologies like LangChain and RAG.
Lead a team to design and deploy AI-powered cybersecurity applications using Python, ML frameworks, and Kubernetes, integrating security tools and REST APIs.
Build and ship full-stack web apps using MERN, working directly with clients to solve real business problems in a fast-paced startup-consulting hybrid environment.
Builds full-stack cloud applications (SPAs + backend APIs) for AI-driven analytics, market research, and ad tools, integrating LLM features and optimizing data pipelines.
Develops AI-driven cost estimation tools for aerospace engineering, using Python/Node.js to process technical data and support predictive analytics in Agile sprints.
Freelance Python developer building and integrating features for the Quantara AI product, connecting with backend endpoints, and maintaining clean git-based workflows.
The DevOps Engineer role at micro1 is a remote position focused on supporting the company's AI evaluation platform infrastructure.
Build and maintain a Fabric Lakehouse and Power BI semantic model for sales, stock, returns, and customer data, using Claude Code and MCP to accelerate analytics engineering.
This Manager role at Deloitte involves leading AI engineering workstreams to build and scale production-ready AI and Generative AI solutions for Civil Government clients. The position requires hands-on engineering expertise in Python and cloud platforms, combined with stakeholder management and delivery leadership in secure, regulated environments.
Capgemini is looking for an Engineering Science Consultant to build data-driven solutions, ML models, and production-ready software for the pharmaceutical and biotech sectors. The role involves collaborating with researchers and AI specialists to develop data pipelines and decision-support visualizations.
The Senior Data Engineering Manager leads a team of data scientists and engineers to develop data-driven perception and planning solutions for autonomous driving systems. The role involves defining technical strategy, managing large-scale data pipelines, and collaborating across global teams to improve ML model performance.
Building AI-powered data and intelligence platform products for financial services clients—processing data, integrating AI services, and shaping platform direction on a small, collaborative engineering team.
Builds and owns fullstack products for defense autonomy systems, blending front-end design (React/TypeScript) with back-end services (Go/Python) to create data-heavy workflows for military and allied customers.
Build and maintain a scalable data platform for cybersecurity analytics and GenAI, integrating security data sources and enabling advanced analytics and machine learning.
Build and maintain AI-powered APIs and full-stack features using React, Node.js, and Python to deliver reliable, production-grade systems for intelligent workflows.
Founding Full-Stack Engineer owning the entire Python/FastAPI and Next.js/TypeScript stack to build and orchestrate LLM-powered AI agents for property management tasks like tenant engagement, compliance, and maintenance.
Build a digital marketplace platform using Node.js, Python, Java, and RESTful APIs, with contributions to AI-driven features and scalable web apps.
The Lead DevOps Engineer will manage the infrastructure stack for an AI-driven aviation operations platform, utilizing AWS, Terraform, and GitHub Actions to ensure system reliability.
Senior DevOps Engineer maintaining CI/CD pipelines, IaC, and cloud ops for a high-availability AI/cybersecurity product suite, with on-call support and automation across AWS and Linux/Windows environments.
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