Description We are seeking a highly skilled and innovative Generative & Agentic AI Engineer to join our AI engineering team. This role involves designing, developing, and iterating on fast-paced prototypes exploring the latest in LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate should be proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. You will work with cutting-edge frameworks like LangChain, LangGraph, LangFlow, CrewAI, and others to build advanced prototypes that incorporate short-term and long-term memory, RAG pipelines, vector databases, and more. Key Responsibilities: Rapidly build and iterate on LLM- and agent-based prototypes for various use cases (chatbots, copilots, A2A task agents, etc.). Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, LangGraph, LangFlow, CrewAI, Autogen, etc. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases (Pinecone, FAISS, Chroma, PostgreSQL, etc.) for contextual retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Follow responsible AI guidelines by implementing Guardrails. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviors. Use cloud platforms like Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI prototypes using tools like Streamlit, Gradio, or React for demo outputs. Develop robust API integrations to connect AI agents with internal and external services and data sources. Utilize SQL to query structured databases and integrate with RAG or knowledge ingestion pipelines. Preferred (Nice-to-Have): Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background in designing reusable AI components for experimentation and scaling. Skills Machine learning Python Artificial intelligence Engineering Job Details: Title:Junior AI Engineer Location:Liverpool, UK Salary:400.00 - 425.00 GBP Daily Type:Contract#J-18808-Ljbffr
Job Title
Junior AI Engineer