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Backend engineer at Rogo (NYC, onsite) building REST/gRPC APIs and large-scale crawling, ranking, and retrieval infrastructure for an enterprise AI product serving investment banks and investment firms. Requires 4+ years with distributed systems and a strongly typed language like Rust, C++, or Java.
A field solutions architect at Databricks who parachutes into strategic, time-boxed Benelux customer engagements (1-5 months), owning the architecture conversation and moving data engineering, ML/AI, and real-time analytics workloads from evaluation to production-grade technical wins on the Databricks platform using Python, SQL, and cloud data systems.
Builds and scales the AI data platform for an investment-management SaaS, integrating secure APIs, vector databases, and model gateways to power real-time analytics and AI-driven features.
Infrastructure engineer on Scale AI's Apps Platform team building cloud-agnostic deployment and observability for internal and customer-managed environments across AWS, Azure, GCP, OCI and on-prem. Daily work spans Kubernetes, Terraform/Docker IaC, CI/CD and GitOps pipelines, incident response, and tooling for internal teams.
A senior data/ML engineer builds and owns production-ready ML pipelines, scalable APIs, and robust data platforms on Microsoft Azure, setting engineering standards and resilient architectures. They collaborate with global teams, communicate technical results to clients, and mentor junior engineers in a hybrid Cape Town role.
Laine is hiring a Senior AI Fullstack Engineer for a full-time, hybrid role in Dubai to design and scale an AI-assisted legal drafting platform. Day to day, you'll own features, collaborate with teams, and integrate AI into workflows using a modern TypeScript stack. Visa support is offered.
Designs and executes manual and automated tests for AI products, mentors QA team members, and integrates testing into CI/CD pipelines.
Senior Data Scientist / ML Engineer at OVENTI, a Data & AI consulting firm in Paris: design, train and deploy ML models (notably on risk/finance topics) end-to-end — from data exploration in Snowflake to industrial deployment on Azure — with rigorous MLOps practices. Core stack: Python, Scikit-Learn/XGBoost, Azure, Snowflake, GitLab CI/CD, MLflow.
Build and scale an agentic chatbot platform for HR benefits, integrating LLMs, retrieval, and orchestration to deliver conversational AI solutions in a complex enterprise ecosystem.
Lead a backend engineering team building scalable, fault-tolerant systems that support Agoda’s machine learning and LLM capabilities, using languages like Scala and Go, and technologies like Kafka and Aerospike.
Junior data analyst at Artellence working on AI products: analyzing internal product data, collaborating with data scientists on ML algorithms, and testing LLM models and writing prompts. Requires ~1 year of DA/BA/PM experience, Python, a strong math background, and B2+ English.
Simple AI is hiring its first Sales Engineer to partner with account executives on enterprise deals — running technical demos, building proof-of-concepts, and answering deep questions on integrations, security, and architecture for its voice AI agent platform. Requires B2B SaaS pre-sales experience and comfort with APIs, telephony, and cloud infrastructure.
Senior full-stack engineer on Kalepa's Core UX team, refining an AI product for insurers — improving UI consistency, responsiveness, performance, and visual polish. The stack centers on React/TypeScript (or Python), AWS serverless, and PostgreSQL.
A senior hands-on IT & Information Security Manager owns Lyte AI's internal IT and security end-to-end: managing Microsoft 365/Entra ID/Intune, Linux servers, networking and firewalls, macOS/Windows endpoints, and AWS/Azure/GCP cloud, while leading security operations, automating workflows, and optimizing infrastructure costs.
Principal Software Engineer at Typeface, an AI startup building enterprise marketing content generation. You'll architect LLM/multimodal AI systems, lead cross-functional initiatives, partner with enterprise customers, and mentor engineers. Requires 10+ years experience, distributed systems and cloud-native expertise, and deep LLM knowledge. Hybrid role in Palo Alto.
Fullstack engineer building features end-to-end on Qevlar AI's platform that automates security alert investigations for SOC teams. Day-to-day spans Python (FastAPI/SQLAlchemy) backend work, TypeScript/Vue.js frontend work, code reviews, and mentoring, in a fast-moving Paris-based startup.
Principal engineer building AI-powered cloud solutions for Fortune 500 customers, shipping production-ready services in days while ensuring security, reliability, and scale.
Staff Product Designer at Typeface, an AI-powered enterprise marketing platform, owning end-to-end design of complex product areas from concept to shipped product. The role centers on daily use of AI tools, building prototypes and working flows (Figma plus coding), and mentoring designers in an AI-native workflow, based hybrid at the Palo Alto HQ.
A forward-deployed applied ML engineer based in London who embeds with a few EMEA customer accounts and owns their path to production on Fireworks: fine-tuning and post-training LLMs (SFT, LoRA, RLHF), GPU serving and inference optimization, and hands-on integration in customer environments.
Senior Solutions Engineer at Databricks (Amsterdam, hybrid) who owns technical engagements for Benelux customers: leading discovery, solution design, proofs-of-concept and live demos of the Databricks platform across data engineering, analytics, ML and GenAI. Core tech: Python, SQL, Spark/Delta Lake, and public clouds (AWS/Azure/GCP).
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