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Software Engineer (Backend)
Backend engineer who builds and runs the core services of a FinTech platform: microservices, APIs and event-driven systems, plus AI-powered features (LLM/RAG integration). Uses AI coding assistants daily. Core stack: Java 17+, Spring Boot, Kafka, AWS, Docker, CI/CD, onsite in Hong Kong.
Data Scientist
Contract Data Scientist role in Stockholm (hybrid, 2 remote days/week) via Aqilea, on a fixed-term assignment running Nov 2026–Jun 2027. Day to day: building and deploying ML and LLM applications in the cloud (ideally GCP), MLOps/CI-CD, SQL and dbt data pipelines, vector databases, and stakeholder-facing AI project leadership.
AI Software Engineering Manager
Hands-on engineering manager at Deloitte's NVIDIA-partnered AI team, leading AI software engineers to design, build, and deliver LLM/multimodal agentic systems optimized for NVIDIA GPUs. Combines people and project management, hands-on Python coding and architecture, and client-facing technical leadership.
AI Engineer- R&D and Innovation Center
Develops GenAI applications and LLMs using Python, LangChain, RAG, and Vector Databases. Implements scalable code and collaborates with global teams to solve complex problems in an R&D center.
Senior Full Stack Java Engineer – AI, Data & Cloud
Senior full-stack engineer at CGI Nederland building cloud-native Java applications, APIs, data pipelines and AI capabilities for Dutch banking clients. Core stack: Java 21/Kotlin, Spring Boot, Angular, Azure, Kubernetes, Kafka, plus generative AI (Azure OpenAI, RAG, AI-assisted tooling).
End-to-End Data Integration Engineer - ETL Pipelines
Designs and owns ETL pipelines end to end for a multinational defence organisation in The Hague, moving imagery and reports from multiple networks into its systems — covering source-to-target mapping, data models, configuration control, monitoring, and backup/failover resilience. Stack includes ETL tools like Apache NiFi, Informatica, Talend or SSIS on AWS or Azure.
AI Engineer (Data & LLM pipelines)
At Grantific (hybrid, Utrecht-based), the AI Engineer owns the data pipelines and LLM infrastructure behind its grant-matching platform: integrating heterogeneous European grant data from APIs and scraping pipelines, and building production-grade LLM workflows for retrieval, extraction, and matching. Core stack is Python and SQL.
ETL Data Engineer (Apache NiFi, Data Pipelines, Data Modelling) for NATO with security clearance
A data engineer designs, builds and operates ETL pipelines (Apache NiFi or similar tools, ideally on AWS/Azure) to move imagery and reports from multiple networks into a multinational defence organisation's systems in The Hague, plus data modelling, configuration control, monitoring, resilience testing and admin handover.
data engineer for AI applications
Data engineer at Hanab, an infrastructure contractor, building the data backbone for internal AI tools: setting up the central PostgreSQL and Qdrant vector databases, running ETL pipelines, and turning contracts, work orders and other documents into chunked, embedded datasets while tracking data quality. Core stack: Python, PostgreSQL, Qdrant, ETL tooling.
Senior AI Engineer (AI Automation, Claude Code, Full Stack)
The role You are our AI expert. We hand you a problem, and you solve it with AI: an automation that removes manual work, an AI feature that does a job properly, or a dashboard the team runs on. You design it with…
Data Engineer – AI
Data Engineer on the AI team building and maintaining data pipelines that power RAG systems and LLM applications: ingestion, document chunking/embeddings, vector database optimization, and LangChain/LlamaIndex integration. Needs ~5 years in data engineering/MLOps with Python, SQL, orchestration tools, vector DBs, and cloud storage.
Software Engineer, Machine Learning Platform - Gen AI
Engineer on DoorDash's GenAI Platform team building production ML infrastructure: real-time GPU serving and high-throughput batch inference for open-weight LLMs/VLMs, plus fine-tuning (SFT/DPO/LoRA), LLM Gateway, evals, guardrails and cost attribution. Core stack: Python, distributed systems, GPU inference engines, Kubernetes, AWS/GCP.
Software Engineer I
Software Engineer I at Playlist builds, debugs, and maintains software for its fitness/wellness booking platform (Mindbody, ClassPass), spanning APIs, websites, databases, and utilities. The stack centers on the Microsoft ecosystem (C#, ASP.NET, .NET Core, NoSQL, AWS) with growing AI/LLM integration work.
Data Engineer
Digital Business team works to develop the most promising digital solutions for the global products and process and to organize IDIADA information and provide a useful, fast and reliable way to exploit it by IDIADA…
Senior Software Engineer (MLOPS Engineer)
Senior MLOps engineer at NIQ in Chennai who designs, builds, deploys, and operates scalable AI/ML solutions in production: Python REST APIs, Azure ML training/deployment pipelines, CI/CD with GitHub Actions, Docker/Kubernetes, observability, and RAG/GenAI solutions with vector databases.
Sr. Data Scientist - Marketing & Customer Analytics
Job Summary Please find the JD for Sr. Data Scientist. (Gen AI/ML) Location: Gurgaon We are looking for a highly skilled ML & AI candidate to drive Marketing and cross-sell initiatives. The role will focus on building…
Fullstack Engineer
We are looking for a Full Stack Engineer with a strong foundation in frontend and backend development who can contribute to building scalable web applications and API-driven solutions. The candidate should have…
Senior AI/ML and Data Engineer (m/f/d)
Leads the design and architecture of large-scale data platforms and AI/ML systems for Ericsson's 5G networks: owning data pipelines (Kafka, REST/gRPC), distributed processing (PySpark), SQL/NoSQL/vector storage and MLOps, while mentoring engineers and driving technical strategy. Core languages: Python, C++, Java.
Sr Data Engineer
Sr Data Engineer Responsibilities: Collaborate with teams of experienced actuaries, developers and business experts to deliver projects Design and propose end-to-end data pipelines ((ingestion to storage to…
Senior DevOps Engineer
Senior DevOps Engineer who designs, automates, and operates the AWS infrastructure and CI/CD powering Cellebrite's cloud and AI/ML systems in production, including Amazon Bedrock and inference pipelines, while using AI tools daily, partnering with R&D teams, and joining an on-call rotation for a 99.95% uptime SLO.