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The Senior AI Software Engineer will build core backend services, LLM integration layers, and retrieval infrastructure for an AI operating system. The role focuses on platform engineering using Java, Go, and Python within a distributed AWS environment.
Principal AI Engineer embeds with customers to rapidly build and deploy production-grade AI solutions using Python and large language models, setting technical standards for AI deployment.
Mid-level Solutions Engineer deploying a proprietary AI platform into enterprise customer environments—building integrations, configuring LLM/agent systems, and ensuring observability using Python, APIs, and AWS cloud infrastructure.
The Senior AI Solutions Consultant will work directly with customers to design and implement AI solutions using Python, LLMs, and agentic workflows. This is a hands-on technical role focused on delivering AI orchestration systems for highly regulated organizations.
Senior hands-on role designing and building agentic, LLM-driven workflows and RAG pipelines on a proprietary AI operating system using Python, deployed into defence and national security environments.
Principal AI Engineer (Forward Deployed) At-a-Glance - Principal-level individual contributor role embedded directly with customers - Building AI capability against live operational problems, at pace - Python, large…
Senior QA Automation Engineer Ocho People | Technology Recruitment Senior QA Automation Engineer role owning the entire testing strategy across a next generation identity and risk intelligence platform TypeScript,…
Senior Backend Engineer (Go / Java) Ocho People | Technology Recruitment Senior Backend Engineer role at a fast growing AI powered Agentic Test Automation Platform trusted by Fortune 500 enterprises Go and Java across…
Build AI-driven security systems—threat detection, risk quantification, autonomous workflows—using Go or Java, LLMs, and cloud-native infrastructure on an internal AI platform for a cloud security company.
Staff Data Engineer designing and building large-scale distributed data pipelines and infrastructure using Airflow/Dagster, Spark, dbt, Kafka, and AWS for a consumer insights and e-commerce technology company.
Senior data engineer designing and maintaining large-scale distributed data pipelines and infrastructure for a global tech company’s core products, using Airflow, Kafka, Spark, dbt, and cloud platforms like AWS.
Full-stack software engineer building enterprise trading, operations, and risk systems using Java, Spring Boot, AWS, PostgreSQL, and Kafka at a digital asset/fintech firm in Belfast.
Build and own cloud-native backend services in Go or Java that secure cloud infrastructure in real time, working with distributed systems and modern tooling.
Senior backend engineer building scalable Node.js APIs and event-driven systems for high-traffic digital commerce platforms using TypeScript and cloud-native architectures.
Senior Data Engineer builds and maintains large-scale, distributed data pipelines and systems using modern tools like Airflow, Spark, dbt, and Kafka on AWS.
Field Engineer Location: Northern Ireland (field-based, extensive daily travel across sites) About the role Our client is a well-established, highly regarded IT Managed Services provider serving organisations from…
Building scalable data pipelines with Python, Apache Airflow, and Docker for global financial markets clients at a Belfast-based technology consultancy.
Backend engineer on a cloud-native CNAPP security platform, owning the full development lifecycle—from design through deployment and monitoring—on a high-scale backend delivering real-time security insights.
Senior Golang Developer About Our Client Our client is a forward-thinking technology company delivering scalable, reliable, and high-performance software solutions in a competitive digital marketplace. They prioritize…
Builds and maintains cloud-native backend services in Go/Java for real-time cloud security, owning features from concept to production, optimizing performance, and shaping system architecture while collaborating with engineering and product teams.
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