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A Python developer on Prometeia's Data & Analytics team in Bologna: day to day you design intelligent agents, build ETL pipelines, and implement RESTful APIs to extract information from texts and evaluate LLMs, working with LangChain and cloud services in a multidisciplinary, collaborative setting.
Senior Software Engineer at Artefact, a European Data & AI consulting firm in Paris. Day to day you design and build client solutions — GenAI/agentic architectures (LangGraph) and data platforms on GCP (dbt, Snowflake, Terraform, Docker) — rotating across missions, sectors and stacks. Hybrid: remote from anywhere in France, max 2 days/week on-site; package €66–76k.
Lead SAP BTP extension developer and product owner at a Swiss SAP consultancy: build modern cloud applications with CAP, Node.js and Fiori on SAP Business Technology Platform, own product vision and architecture, evaluate AI/LLM approaches (SAP AI Core, Joule, LangChain), and coach junior developers.
Senior (SVP-level) full stack engineer at Citi who architects and hands-on builds secure, scalable applications supporting Agentic AI workflows, sets engineering standards, and mentors engineers. Core stack: React/TypeScript frontends, Python (FastAPI) and/or Java (Spring Boot) backends, LangChain/LangGraph, Kubernetes/OpenShift, and SQL/NoSQL databases.
Zone & Co, an ERP-native AI platform for financial operations built on Oracle NetSuite, is hiring an AI Software Engineer to design, build, and deploy production AI/ML systems that automate financial workflows. Day to day: end-to-end AI pipelines with LLMs and agent frameworks (LangGraph, AutoGen, DSPy), Python, cloud (AWS/Azure), and SQL/NoSQL databases.
At CAF, a railway manufacturer, this AI & Data Engineer in Beasain, Spain builds automation, ML, generative-AI and enterprise-agent use cases and industrializes batch and near-real-time data pipelines on the company's Data & AI platform, using Python, SQL, Spark, AWS/Azure, Databricks, Power BI and MLOps/LLMOps practices.
Associate-level full-stack developer at PwC Philippines (Makati) building AI-powered web applications for client engagements — integrating LLM APIs (OpenAI/Anthropic), RAG and vector search, plus React/Vue frontends and Python/Node/TypeScript backend services, working alongside consultants and data scientists.
Full stack developer with a backend-heavy focus (Go) building WayJet, a multi-model AI API gateway at WJ Digital in Kuala Lumpur. Day to day: integrating AI model providers, building routing/failover and usage-billing services, and developing a TypeScript/React developer dashboard on PostgreSQL and Redis.
Lead Data Engineer owning a unified consumer data platform (CDH) covering 10+ countries and tens of millions of profiles, leading a team of 4 data engineers while staying hands-on with Python, SQL and dbt. The role spans architecture, roadmap planning, GDPR compliance, data quality/observability and growing an agentic AI stack (Cortex, Genie, LangGraph, Phoenix).
Sidram Technologies is hiring a Python Developer (GenAI/LLM) for its client Citi Bank in Mississauga. The role builds and deploys enterprise GenAI applications - RAG pipelines, prompt engineering, and agentic AI - using Python, LangChain, FastAPI, Vertex AI/Hugging Face, vector databases, Kubernetes, and CI/CD/MLOps tooling.
NTT America (NTT DATA) seeks a GenAI Architect in Plano, TX to design and deliver AI/ML and generative AI solutions for clients — building LLM/RAG applications, ML models, and scalable Python APIs using TensorFlow/PyTorch, LangChain, vector databases, and cloud AI platforms like Azure OpenAI, Vertex AI, and AWS Bedrock.
AI Engineer focused on designing and productionizing GenAI and LLM applications on the Arthur on-premise platform. Key tasks include building RAG and agentic workflows, integrating enterprise data with providers like OpenAI and Anthropic, and implementing LLM evaluation and security controls using Python.
A full-stack engineer at Rhino Partners builds secure generative AI and agentic web applications for enterprise AI transformation, working across frontend, backend, and cloud. Core stack includes Next.js/React/TypeScript, Python APIs, AWS, LangChain, RAG, and DevSecOps practices.
A software engineer joins MAS's Gen AI team on a 1-year contract to build production-grade web apps powered by LLMs and agentic AI — agent workflows (LangGraph), search/retrieval services (Elastic/Redis), and monitoring dashboards — using Python (FastAPI/Django), TypeScript, and React/Vue/Angular, under strict security and regulatory controls.
KRIMDA is hiring a Data Scientist specialized in generative AI to build, improve and productionize LLM, RAG and multi-agent solutions on a corporate advanced-analytics/AI platform in Ayllón, Spain. Day-to-day work centers on Python, prompt engineering, agentic architectures, model evaluation and platform integration.
A Forward Deployed AI Engineer in Canberra works directly with strategic clients of a global consulting firm, turning business problems into production AI/LLM applications and agentic workflows. Day-to-day involves prototyping, cloud/data architecture, and client-facing technical leadership using Python/Java/C#/JS/Go and AWS, Azure or GCP.
About the Role We are looking for a hands-on AI Applications Engineer to help transform how work gets done across our organization through AI and intelligent automation.Using Claude as our primary AI platform, you will…
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.
Senior full-stack and operations engineer at Flyp working on a UK residential property platform: roughly half the role is production health, incident response, and CI/CD upkeep, the rest is building features with TypeScript, React, Node.js, and PostgreSQL on GCP, including Agentic AI/LLM integrations. Fully in-office in Cape Town.
Senior full-stack product engineer building features end to end on Maze's user research SaaS platform — qualitative data analysis with LLMs, participant/audience management, and video/scheduling integrations — using React, Node.js, TypeScript, and PostgreSQL in a global remote team.
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