Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
The AI Software Engineer will work on optimizing critical trading control applications using Java, Spring Boot, and AI technologies. The role involves collaborating on DevOps and CI/CD processes to reduce technical debt and enhance system security.
Decskill España is hiring a Senior Backend Developer to build enterprise-grade Generative AI infrastructure and services. The role involves working with Node.js or .NET 8 and Azure AI tools to design architectures and data pipelines.
Experis España is hiring two Python Developers to work on a 100% remote project focused on Azure Cloud and Generative AI solutions. The role involves collaborating with international stakeholders to develop cloud-based AI applications.
£60,000 to 77,000 GBP Bonus Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent Senior Data/AI Engineer - Manager Location: Manchester Salary: Up to £77,000 + Bonus Employment Type:…
Lead Data & AI Engineer at a Manchester-based Technology & Transformation consultancy, hands-on leadership role spanning data engineering, AI, and Generative AI solutions for major clients using modern cloud platforms.
The AI-Native Backend Engineer will design and build scalable backend services, APIs, and data pipelines to support LLM and agent-based products. The role focuses on productizing frontier AI models by integrating tools like Prompt, Skills, and MCP.
MC Engineering Srl cerca un Software Engineer - Docker per progetto nel settore Financial Services. Userai Python/FastAPI per backend cloud-native e integrerai GenAI/Agentic AI in ambiente AWS. Coprirai l'intero…
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
The AI Engineer will work in the Data Innovation Lab to build, deploy, and optimize machine learning models and software services. The role focuses on infrastructure abstraction, production deployment, and ensuring the reliability and performance of AI applications.
The AI/ML Engineer will design and deploy generative AI solutions using LLMs and integrate AI capabilities into enterprise data pipelines. This is a one-year project-based role requiring collaboration with product owners and data teams in an Agile environment.
The Data & Integration Engineer will design and implement data flows, APIs, and pipelines to support GenAI initiatives. The role involves working with enterprise data platforms like Informatica and Cloudera to ensure reliable data movement and preparation for AI workflows.
Senior AI Research Engineer owning end-to-end ML model development—from research through production deployment—across generative AI, computer vision, and real-time audio/signal processing for consumer creative-learning apps.
J.P. Morgan is seeking professionals to design and develop automation-based systems and machine learning models for data analysis, document management, and client intelligence. The role involves researching and applying ML methods to tasks including NLP, speech recognition, and time-series predictions.
Hardware development engineer on AWS GenAI & ML Servers, defining server architectures, conducting rack integration validation, ensuring thermal/mechanical/power/signal integrity, and leading vendor design reviews.
Logistikbude is seeking a Senior AI Software Engineer to integrate AI features, such as LLMs and RAG applications, into their logistics SaaS platform. The role involves shaping AI strategy, building prototypes, and optimizing development workflows using modern .NET and AI-driven tools.
Design and scale backend services, databases, APIs, and cloud-native applications to support RWE's offshore wind and renewable energy operations across Europe, while leading AI-driven automation and analytics solutions.
Design and scale backend services, APIs, and cloud-native applications for offshore wind energy data platforms, collaborating with Product Owners on data governance and AI-driven solutions.
Architect and maintain high-traffic LLM serving systems, optimizing throughput and latency using inference engines like SGLang, vLLM, and TensorRT alongside GPU programming tools like CUDA and PyTorch.
A Life Sciences Solutions Engineer at a biotech company translating pharma data needs into compliant AI/data systems, collaborating with cross-functional teams to ensure GxP and EU/US regulatory alignment.
Junior/mid-level data engineer working on data pipelines, Power BI dashboards, and information models in a startup, integrating heterogeneous data and contributing to AI solutions on proprietary platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
