Tech jobs
Job listings
AI/ML Engineer (Agentic AI & Data Science) #IAC
Singapore-based AI/ML engineer role: build agentic AI workflows, RAG pipelines, vector search and LLM applications (Dify, LangChain/LangGraph), plus predictive ML models and Python REST APIs deployed on Docker/Kubernetes/OpenShift. Posted via Recruit Express, apparently for a banking/wealth-management employer.
Working Student AI Engineer – LLMs, RAG & AI Agents
Part-time working-student role building production generative-AI components for client projects: Python services connecting LLMs to enterprise data, RAG pipelines (document ingestion, embeddings, retrieval) and agent steps with tool calls, testing and deployment. Employer AgentixLake GmbH, a Data & AI engineering consultancy.
Data & AI Platform Engineer (all) 60 - 100%
You build and run Finnova's internal data & AI platform in Lenzburg (60–100%): data lake/lakehouse on Microsoft Fabric, ETL/ELT pipelines into systems like Abacus ERP and M365/SharePoint, APIs for AI agents, GenAI building blocks (RAG, Azure OpenAI, Azure AI Foundry, Copilot Studio) and Power BI models — taking prototypes into secure, monitored production.
Data Engineer - Basel
Data engineer in Basel building and running ELT pipelines with dbt, Airflow and Snowflake for ekona's client projects in life sciences, supply chain, consumer goods and finance. The role focuses on data modeling, data-quality testing, and delivering trustworthy enterprise data (ERP/SAP, master data) to planning tools, forecasting engines and AI agents.
Senior Application Engineer — Buying Agents
About the team In SAP Finance & Spend we build the cloud-native software that transforms how the world's companies buy and, collaboratively with the world's largest business network, we deliver one procurement…
AI Engineer Junior – IA Generativa y Agentes
Junior AI Engineer at Grupo Tecdata's Data & AI practice in Madrid (hybrid). Day to day: build Python generative-AI apps, integrate LLM APIs, develop RAG/embedding-based retrieval and simple agent flows, test AI response quality, and document reusable components while learning from senior engineers.
Extracurricular Internship – DevOps & GenAI Engineer for Quality (f/m/div.)
Internship at Bosch in Braga, Portugal: build GenAI/Agentic AI agents that support Quality Engineering workflows — requirements analysis, test interpretation, failure analysis. Core stack: Python, LLMs, embeddings, vector databases, RAG pipelines, and agent frameworks like LangChain, LlamaIndex, and CrewAI.
AI Engineer
AI Engineer at NTT DATA's Romania Excellence Centre in Bucharest, building LLM-powered multi-agent systems for a digital banking client. Day-to-day: designing agentic workflows, orchestration, RAG pipelines, and evaluation suites with Python, Google ADK/LangGraph, vector databases, and cloud platforms.
LLM Applied Data Scientist (RAG/ NLP)
Applied data scientist at Binance building and optimizing RAG and retrieval/ranking pipelines (embeddings, reranking, query rewriting, GraphRAG) for LLM-powered products like customer service and token reports, and participating in LLM training (SFT, reinforcement learning) and NLP/multimodal content analysis. Core stack: Python/C++, PyTorch, vector databases.
Senior Software Engineer (AI-First)
Publicis Sapient (Publicis Groupe) is hiring a Senior Software Engineer in San José, Costa Rica to design and build cloud-native backend applications with Java, Spring Boot, and microservices on Azure, leveraging AI-assisted development tools like GitHub Copilot to boost code quality and delivery speed for enterprise clients.
Forward Deployed Engineer Manager
Client-facing field engineer at Sia's AI practice who designs, builds, and ships GenAI applications (agents, RAG pipelines, copilots) directly into clients' workflows, driving adoption and measurable ROI. Core stack: Python, LLM frameworks (LangChain, LlamaIndex, pgvector), and cloud platforms (AWS/Databricks), working closely with Anthropic and OpenAI.
Senior Forward Deployed Engineer
Field engineer at Sia's AI practice who builds and ships GenAI applications for clients — agents, RAG pipelines, copilots — from scoping and prototyping (LangChain, LlamaIndex, pgvector) through production deployment and user adoption. Python-centric, cloud-friendly, and heavily client-facing.
AI Engineer Junior
Junior AI engineer role in Madrid (remote-friendly) working with Python, LLM model APIs, RAG, agents, and evaluation/observability tooling. Entry-level position (0–2 years) focused on applying language models — not training foundation models — with a base in Python, SQL, Docker, and Git.
Junior Forward Deployed Engineer
Junior field engineer in Sia's AI practice who builds and ships GenAI solutions for clients — RAG pipelines, agents, copilots — using Python, LangChain/LlamaIndex, pgvector, and models from OpenAI, Anthropic, Google, and Mistral. Hybrid work from the Amsterdam office with on-site client delivery; no work permits provided.