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Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital”…
Solstice is hiring a senior applied-AI engineer in New York City to own the technical direction of its AI systems that generate compliant pharma marketing content — covering retrieval, generation, claim-level verification, evaluation, and ML Ops in production. Core stack includes Python, FastAPI, Docker, and AWS, with deep LLM work such as agentic pipelines and fine-tuning.
Effectory in Amsterdam is hiring a hands-on Senior Data & AI Engineer to design scalable data architecture and build ingestion pipelines that feed analytics and ML models. Day to day involves deploying and monitoring data/AI pipelines and automating CI/CD and MLOps practices with cross-functional teams.
Senior Data AI Engineer in the Netherlands who designs scalable data architecture, builds data ingestion pipelines, and prepares data for AI/ML. Day to day involves integrating sources via APIs and databases, automating workflows with CI/CD and MLOps, and deploying and monitoring models on cloud-native tools, with Azure preferred.
Build Intelligent Systems That Create Real Impact Are you motivated by solving complex problems with data and AI? Do you enjoy transforming business challenges into scalable, production-ready solutions? At VENZO, we’re…
We're looking for a senior AI engineer with hands-on experience in generative AI, API integrations, and advanced agent-based applications. The ideal candidate brings a mix of full-stack, AI, and cloud engineering…
Remote Senior AI Engineer who owns the AI layer of Techsa's technology and data platform: building retrieval/RAG, agent and tool-calling systems, and natural-language interfaces over enterprise data, with evaluation to measure quality. Core stack is Python and LLM application engineering, with optional vLLM serving and fine-tuning.
A senior engineer designs and builds generative AI solutions for clients end-to-end — from evaluating use cases and architecting systems through development, deployment, and production operations. Day-to-day involves programming conversational UIs and API integrations with Python, Java, TypeScript, or Go, and optimizing AI models using methods like RAG, fine-tuning, and agents.
Build and ship production-grade AI agents using LangGraph and frontier models to automate real-estate workflows like lease administration and workplace management.
Senior GenAI Architect at in-tech, a German digital engineering partner for automotive, rail, and smart industry. The role designs and drives generative AI solutions for the company's internal projects and internal efficiency initiatives.
Senior backend developer to lead the founding team of a Generative AI hub in Valencia, defining the technical base, architecture and enterprise AI services on Azure. Core stack: Node.js or .NET 8, REST API design, and Azure services (Data Factory, Cognitive Search, OpenAI, SQL, Cosmos DB).
Senior Python Developer on a long-term contract at consulting firm Highspring, building enterprise AI/GenAI platforms in Montréal (hybrid, 3 days/week onsite). Day to day: design Python apps and REST APIs, prompt engineering and LLM lifecycle work, and RAG/vector-database solutions on Azure.
Senior Python Developer building enterprise AI platforms and reusable Python frameworks at Highspring in Montreal, on a hybrid, long-term contract. Day to day: design scalable Python applications, implement RESTful services, and join architecture discussions with cross-functional stakeholders.
Senior DevOps Engineer at remote-first Kake supporting AI/LLM training data development and evaluation: writing prompts, producing reference-quality code, running tests, and managing environments to ensure the quality of AI-generated software. Core stack is Python with strong backend/DevOps experience.
Senior engineer on Nuix's Sydney AI team, owning the Enrich AI data-enrichment product and integrating AI into the Nuix Neo platform. Day to day: end-to-end full-stack features with Java/Spring and React/TypeScript, deployed via Docker/Kubernetes on AWS, plus mentoring juniors in a cross-timezone team.
Senior consultant in Wavestone's AI & Data business unit, designing modern data platforms and industrializing AI/GenAI use cases (RAG, MLOps/LLMOps) for large clients, often as a tech lead or project manager. Core stack: SQL, Python, PySpark, Azure/AWS/GCP, Databricks/Snowflake, Terraform, Docker.
Wavestone's AI Business Unit is hiring a Senior Data & AI Engineer Consultant in Nanterre to help large organizations industrialize AI — building modern data platforms (lake/lakehouse, warehouse, data mesh), taking use cases from PoC to production, and setting up MLOps/LLMOps practices and governance alongside data scientists and platform teams.
Senior GenAI developer at CGI building LLM-powered multi-agent (Agentic) AI solutions for a highly regulated banking client in Reston, VA (hybrid). Day to day: prompt engineering, RAG/retrieval pipelines, ETL/data pipelines, and deployment on AWS (SageMaker, Lambda, Redshift) using LangChain, LangGraph, and Strands.
A senior engineer (6+ years, Senior/Tech Lead level) who embeds with client and internal project teams to assess where AI practices create value, implement AI tools and agentic solutions across the SDLC, and enable teams to sustain adoption. Core tech: LLM APIs, AI agents, AI-assisted development, CI/CD, observability.
Victorinox AG seeks an experienced Data Platform/BI expert or Data Engineer to further develop its central data and analytics platform. Day to day, they model, provision, and govern data, build modern ELT/ETL and CI/CD pipelines, and take AI and GenAI applications from idea to production with business teams.
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