Memory Management Jobs in Merseyside

3 of 3 Memory Management Jobs in Merseyside

Senior C++ Developer

Liverpool, UK
Hybrid / WFH Options
Glasswall
knowledge of modern features and best practices • In-depth knowledge of architecture, design, maintainability, scalability and performance • Excellent collaboration and communication skills • Industry experience with multi-threading and complex memory management • Keen interest in continuous improvement and personal development • Experience with CI/CD pipelines • Adept in managing legacy code bases • Experience with higher level languages - specifically Python More ❯
Employment Type: Full-time
Posted:

AI Engineer

Liverpool, Lancashire, United Kingdom
Hybrid / WFH Options
TEKsystems, Inc
Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI, and Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases … grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Lead AI Engineer

Liverpool, Lancashire, United Kingdom
TEKsystems, Inc
innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots … A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent systems and More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: