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Backend Developer
Build and maintain scalable backend services using Java/Spring Boot, REST APIs, and cloud-native systems, with occasional exposure to AI-driven features.
Senior / Principal Applied AI Engineer (UK / Europe, Remote)
Build and ship AI agents and agentic workflows that automate internal processes and eventually integrate into a professional trading platform, using Python/TypeScript and LLM APIs.
Deployed AI Engineer
Build and deploy AI-powered features using LLMs, agents, and RAG pipelines with full-stack engineering in Python/TypeScript.
AI Solution Architect
Designs and implements AI solutions on Azure, creating technical blueprints, PoCs, and end-to-end AI engineering pipelines for enterprise clients.
Senior Software Architect
Who are we? Checkmarx is the AI-powered application security leader helping the world’s most security- conscious enterprises secure the software that powers modern life. For more than two decades, our unified…
Python Machine Learning Engineer (Hybrid - Madrid)
Build and deploy enterprise-grade AI solutions using LLMs, RAG, and AI agents, optimizing models and workflows in Python with TensorFlow/PyTorch.
Python Backend Development Talent with RAG and Agentic AI Experience
Builds and deploys a production-grade RAG system and AI chatbot using Python, FastAPI, LangGraph, and vector databases, integrating LLMs and enterprise data.
Generative AI Engineer
Designs and builds enterprise-grade generative AI systems using RAG, LLMs, vector databases, and semantic search in Python and REST APIs.
Data Architect
Designs and implements enterprise data platforms, warehouses, and AI-enabled pipelines using Azure, Snowflake, and Python to support analytics and generative AI solutions.
Sr. AI/ ML Engineer
Build and deploy LLM-based regulatory change detection systems on Google Cloud to automate compliance workflows for banking clients.
Deployed AI Engineer
Build and deploy AI prototypes and production systems for clients, focusing on RAG pipelines, agent architectures, and LLM integrations while iterating rapidly in short feedback loops.
Artificial Intelligence Engineering Manager
AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior…
Senior AI Software Engineer
Build full-stack AI applications that expose generative AI, RAG, and agentic workflows via Blazor/React front ends and .NET/Python back ends, integrating with Azure OpenAI and enterprise data services.
Senior Software Developer Data Platform Operation
Builds and operates automation for a next-gen data platform, using Python, Kafka, and Kubernetes to improve reliability and observability, while integrating agentic AI for incident triage and proactive recommendations.
Data Engineer
Build and own a structured research data platform for investment teams, ingesting and parsing documents (PDF, HTML, XBRL) and deploying LLM-powered query APIs on cloud data warehouses.
Senior AI Software Engineer
Build and ship full-stack web features and microservices for a cloud-native AI platform that processes genomics data using LLM/RAG pipelines to generate clinical reports, while mentoring junior engineers.
Engineering Data Architect
Designs and governs data architecture for global engineering platforms, analytics, and AI initiatives, creating reusable data models and integration patterns to improve engineering productivity and product lifecycle visibility.
ML/GenAI Engineer para impulsar soluciones avanzadas con LLMs
Build and scale LLM-based solutions, including agent orchestration, RAG pipelines, and cloud infrastructure, using Python, PySpark, and AWS services.
AI Platform Engineer - Cloud & GenAI Solutions (She/He/They)
Build and deploy AI solutions on cloud platforms, focusing on GenAI, LLMs, agents, and RAG pipelines using Python and cloud-native AI services like Azure AI Foundry and AWS Bedrock.
Senior AI Engineer | GenAI, Machine Learning, RAG & Cloud
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.