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KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
Lead AI security solutions end-to-end—from research design through production deployment—focusing on NLP and LLM-based systems to protect enterprise AI tools and infrastructure. Core technologies include Python, PyTorch, HuggingFace, and LLMs.
Build and deploy GenAI applications for customers using cutting-edge techniques, tools like LangChain and PyTorch, and Databricks’ platform; advise clients and present at industry events.
Senior AI & Data Engineer at Highberg, a data consultancy, delivering production-grade solutions for clients — building ETL pipelines, data warehouses and ML/LLM applications (RAG, agent workflows), largely for media-sector clients. The role spans data engineering, data science, AI engineering and direct client consulting; based in Hamburg or remote.
AI & Data Engineer at Highberg, a consultancy working with clients in the media sector: you build data models, ETL pipelines and warehouses in cloud environments, and develop and productionize ML models, RAG systems and agent workflows, working hands-on with clients from problem framing to go-live using Python, SQL, dbt and modern LLM tooling.
Senior engineer driving AI/ML adoption across Gresham's financial data automation products: designing and deploying LLM-powered apps, RAG/semantic search, and AI agents, plus building scalable AI services on enterprise data platforms. Core stack: Python, LangChain/LlamaIndex, MCP, AWS, Databricks/Spark.
Java software engineer at CEIC Data in Kuala Lumpur who builds and tests data-driven applications: translating business requirements into technical designs, developing data pipelines and microservices on AWS, and owning code quality through reviews, test automation, and defect root-cause analysis.
A mid-level Java engineer at CEIC (ISI Emerging Markets Group) who builds and maintains data-driven software: translating functional requirements into code, developing data pipelines and microservices, and ensuring quality through testing and automation. Core stack includes Java, MySQL, AWS Aurora, MongoDB, and AWS services.
Contractor role at RavenPack (Marbella, remote with EU timezone) doing hands-on optimization of the search & LLM stack: fine-tuning open-source LLMs (PEFT/LoRA, DPO), inference acceleration (quantization, vLLM, Triton), retrieval improvements, and reproducible delivery via SageMaker and Docker. Initial 3-6 month contract.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors.…
Qutwo, a European quantum-AI lab in Helsinki, hires senior full-stack ML engineers to turn DNN-compression ML pipelines into a secure, production SaaS product. Day to day: Python backend services, frontends, and owning deployment on containers/Kubernetes with CI/CD, observability, and security.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Thoughtworks is hiring a Senior AI Engineer in Bangalore to design, build, and deploy generative AI applications (RAG pipelines, agents, multi-agent systems) from prototype to production using Python, GenAI/agentic frameworks, vector databases, and cloud platforms like AWS, Azure, and GCP. The role also involves technical decision-making, code reviews, and mentoring junior engineers.
An Agentic AI Architect in Ireland designs and delivers enterprise-grade AI solutions built on Claude/Anthropic APIs, RAG, agentic workflows, and cloud platforms (AWS, Azure, GCP). Day to day they lead architecture, proof-of-concepts, deployment, and governance with client stakeholders, using Python, SQL, and modern LLM/ML tooling, with some travel required.
Outstaff role at SJ Global for a Senior AI Engineer building production AI/LLM services in Python: agentic workflows, RAG pipelines, LLM API integrations, evaluations, and ML pipelines. Requires 5+ years of commercial experience with strong Python/SQL and hands-on LLM work; remote, full-time, fixed monthly pay.
Senior AI Engineer at Papaya Global builds and ships production AI systems powering payroll and global workforce payments — agentic document intelligence, autonomous agents, compliance AI, and ML insights. Core stack: Python, LLMs, RAG, agents, Hugging Face, PyTorch, LangChain/LangGraph, AWS.
Leads AI-powered client solutions end-to-end, from discovery through deployment, serving as both engineer and technical consultant. Works with Python, LLM frameworks (LangChain, Hugging Face), FastAPI, Kubernetes, and cloud platforms to build scalable systems from messy data and ambiguous workflows.
Staff Software Engineer (Forward Deployed) leads AI-driven solutions, working directly with clients to reshape critical workflows. This hybrid role combines AI engineering, software building, and technical consulting.
Build and deploy AI-powered workflows for enterprise clients, integrating LLMs, retrieval systems, and automation tools while collaborating with stakeholders to solve messy real-world data problems.
Build and deploy AI-powered workflows for enterprise clients, integrating LLMs, embeddings, and automation while scoping solutions from messy data to scalable systems.
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