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DevOps Profile for an International Project (M/F)
DevOps engineer leading AI solution transitions, CI/CD pipelines, and LLMOps for generative AI systems using Azure OpenAI, Python, and TypeScript in a hybrid role.
Full-Stack Developer (Node.Js / Ai Platform)
Builds and maintains a secure, multi-cloud GenAI platform using Node.js/TypeScript, React, and Azure services while integrating AI APIs and prompt engineering.
Senior Fullstack Developer (Java + React + AI)
Builds full-stack Java/Spring Boot and React/TypeScript apps, integrates Generative AI features, and deploys to Kubernetes while using AI tools like GitHub Copilot.
AI Engineer (Java/Python) - MCP & AI Platform Consultant
Build and integrate AI platform components like agents, MCP servers, and RAG pipelines using Java/Python, REST APIs, Kafka, and vector databases.
AI Engineer
Design, build, and deploy AI/ML models, Generative AI apps, and intelligent agents using Python, TensorFlow, and PyTorch in cloud environments.
Technical Lead, Python & Generative AI
Lead a team building Python-based generative AI solutions, guiding architecture, cloud deployment, and GenAI frameworks while mentoring engineers and aligning tech strategy with business goals.
Senior Machine Learning Engineer
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
AI Developer - LLM Features & AI Systems
Build and ship AI systems for property managers: RAG pipelines, multi-step agent workflows, and LLM integrations using TypeScript, Python, and vector databases.
AI/ML Software Engineer
Build AI-powered full stack apps for food & beverage supply chains, integrating ML models into production systems and user interfaces using Python, React, and cloud-native tools.
Senior Backend Engineer—AI & Agents (Java/Spring)
Designs and builds high-performance Java/Spring Boot backend services and integrates AI agents using Google ADK and prompt engineering for AI-powered features.
Senior Machine Learning Engineer
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Senior Machine Learning Engineer
Build and scale AI/ML systems for semiconductor manufacturing, combining classical ML with generative AI to detect anomalies, predict maintenance, and automate test plans using AWS Bedrock and RAG pipelines.
AI Engineer
Design and build cloud-native GenAI applications using Python, Java, and frameworks like LangChain and Hugging Face, deploying on public cloud platforms.
Senior Data Scientist
Senior Data Scientist builds and deploys AI/ML models, including Generative AI and LLMs, to optimize customer journeys and decisioning for a telecom-focused product company.
AI Solution Architect
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Data & AI Researcher (LLM, NLP, Computer vision)
Research and develop large language models and generative AI systems, focusing on NLP, computer vision, and synthetic data generation for a public-sector R&D firm.
Full Stack AI Developer
Build and deploy full-stack agentic AI applications using Python, React, and LLM frameworks like LangGraph or AutoGen, integrating RAG pipelines, MCP servers, and DevOps practices for enterprise clients.
Associate, AI Engineer
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Full Stack Engineer – Generative AI & Agentic AI
Build and deploy full-stack enterprise apps while integrating Generative AI and Agentic AI tools to automate development, testing, and operations across cloud-native environments.