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About the Role At Colgate-Palmolive, our technology teams are dedicated to driving growth and digital innovation through cutting-edge solutions. We foster a workplace that encourages creative thinking, experimentation,…
Künstliche Intelligenz verändert die Softwareentwicklung grundlegend. Als Software Development Engineer - AI Expert treibst du den Aufbau und die Skalierung von AI-Lösungen entlang des gesamten Software-Lebenszyklus…
DEINE ROLLE RAG-Systeme entwickeln: Du konzipierst und implementierst skalierbare Retrieval-Augmented-Generation-Architekturen für geschäftskritische Enterprise-Anwendungen. LLM-Workflows realisieren: Du entwickelst…
Senior engineer who designs and builds scalable multi-agent AI systems at adesso in Dortmund: modeling agent architectures, state machines and orchestration, setting up evaluation metrics and guardrails, and bringing agentic solutions into production cloud/container environments. Core tech: LangGraph, CrewAI, cloud and API integrations.
Engineer at adesso Insurance Solutions in Dortmund who works in interdisciplinary agile teams across the full engineering lifecycle of customer-specific Java/JavaScript web projects with Python-based AI processes. Integrates generative AI tools (Copilot, Cursor, LLMs) into the SDLC and designs microservice architectures from concept to go-live.
Solution Architect at IT consultancy adesso who designs, builds, and operates Azure-native agentic AI solutions (Azure AI Foundry, Azure OpenAI, Semantic Kernel) that automate and optimize client business processes — covering agent architecture, RAG and multi-agent orchestration, DevOps/IaC delivery, and end-to-end client consulting from workshops to production operation.
adesso is hiring an Azure AI Engineer in Berlin to build agentic AI solutions for clients on the Microsoft Azure AI stack — RAG systems, multi-agent architectures (Semantic Kernel, AutoGen, LangGraph), LLMOps and Responsible AI governance — plus customer workshops and consulting. Requires 5+ years of software/AI experience, Python or C#/.NET, and fluent German.
Senior AI Engineer / AI Solution Architect at adesso in Cochin, India, designing, building, and deploying enterprise-grade Generative AI and agentic AI solutions. Day-to-day work spans RAG, multi-agent systems (MCP, A2A), LangChain4j and PydanticAI in Python and Java 25, with cloud-native deployment on AWS.
Senior engineer at IT consultancy adesso in Aachen building custom AI-enabled software in interdisciplinary agile teams — handling requirements analysis, system design, Java/JavaScript web development, Python-based AI processes, and microservice architectures from idea through go-live.
adesso seeks a Solution Architect in Aachen to design and deliver agentic AI solutions on AWS — building multi-agent architectures, RAG pipelines and tool integrations with Amazon Bedrock AgentCore, plus DevOps/IaC delivery (Terraform/CDK) — while advising clients end to end from process analysis to production operation.
An AI engineer/consultant at adesso in Budapest who designs and delivers AWS-native, AI-powered contact center solutions using Amazon Bedrock (AgentCore), Amazon Connect, and serverless integrations, with Terraform/CDK-based DevOps delivery. The role includes end-to-end project ownership and advising customers on AI agent architecture.
Senior role at HDI Group in Hannover building and operating generative AI solutions: scaling data/analytics infrastructure, developing GenAI models, prompts and agent logic, and owning data sourcing, quality and production deployment of AI pipelines. Core stack includes Python, SQL, ML frameworks (e.g. scikit-learn), LLM tooling like LangChain, and cloud AI platforms (Azure OpenAI, AWS Bedrock, GC
adesso is hiring a Conversational AI Engineer in Bangalore to design bot and agentic AI architectures on platforms like Cognigy.AI and Amazon Bedrock/Connect, build GenAI and deterministic workflows, and integrate backend systems via REST APIs. Requires 2+ years with a conversational AI platform and strong JavaScript/TypeScript skills.
Senior AI Engineer at the Technology Innovation Institute to design, fine-tune, and deploy LLMs, vision-language models, and autonomous agentic systems in production. The role blends research and engineering, using Python/C++, PyTorch, DeepSpeed/vLLM, CUDA, vector databases, and agent frameworks like LangChain.
Technology Innovation Institute is hiring an AI Engineer to design, fine-tune, and deploy LLMs, vision-language models, and autonomous agentic AI systems. Day-to-day work spans model training (LoRA/QLoRA, RLHF), scalable low-latency inference with DeepSpeed/vLLM/TensorRT, and production deployment using Python, C++, CUDA, and cloud/edge platforms.
A full-stack AI engineer at BDO Unibank who designs, builds, and maintains production GenAI applications (LLM/RAG chatbots, AI agents) end to end — React.js frontends, Python REST APIs, vector databases, and Azure/AWS deployment. Onsite role based in Makati/Ortigas, Philippines.
Data Scientist at VPBank in Hanoi building machine learning, deep learning, and GenAI solutions for banking problems such as churn prediction, cross-sell, customer segmentation, CLTV, personalization, and operational automation. Core stack: Python with ML/DL libraries, GenAI frameworks, SQL, and cloud platforms.
Data Scientist at Nestlé Purina (pet care) who builds and deploys machine learning, statistical, and optimization models powering business decisions across Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. Core stack: Python, SQL, cloud platforms (Azure/AWS/GCP), MLOps/CI-CD, plus supporting GenAI applications like RAG.
AI developer at Fujitsu in Montreal who designs, builds and deploys AI applications — LLM assistants, autonomous agents and RAG solutions — integrating models like GPT, Claude, Gemini and Llama via APIs, with data pipelines and MLOps practices. Core stack: Python/C#/Java/TypeScript, Git, Agile, cloud platforms.
Hybrid Madrid role at Fujitsu evaluating and monitoring LLM/GenAI models in production: benchmarking providers like OpenAI and Anthropic on performance, latency and cost, building testing/evaluation pipelines and dashboards, and working with IAOps/MLOps teams on observability and AI governance. Needs 2+ years' experience, AWS skills, and fluent Spanish and English.
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