Agentic AI Development Design, build, and iterate on agentic AI workflows — autonomous systems that can plan, reason, and execute multi-step tasks. Integrate LLMs and AI orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or equivalent) into BFT's product ecosystem. Develop agent tool integrations, memory systems, and feedback loops to improve agent performance over time. Collaborate with the AWS Engineer to deploy and scale agentic systems on cloud infrastructure.
Collaborate with the F/E Engineer and Product Developer on user-facing agentic features in the beanies stream. Research & Innovation Monitor developments in agentic AI, LLMs, and multi-agent systems, bringing relevant innovations into BFT's product thinking. Evaluate new AI tools, frameworks, and APIs, producing recommendations and proof-of-concepts for the product team. Contribute to BFT's agentic AI strategy, working with the CPO and CTO to define the technical roadmap.
Quality, Safety & Responsible AI Design agentic systems with safety, reliability, and predictability as core requirements. Define testing frameworks and quality metrics for evaluating agent performance and reliability. Ensure agentic systems comply with AI ethics principles, data regulations, and BFT's governance frameworks. Role Requirements Technical Requisites Interest in large language models (LLMs), prompt engineering, and AI agent architectures.
Interest in agentic or multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI Assistants, or equivalent). Proficiency in Python and experience with AI/ML libraries. Familiarity with cloud infrastructure (AWS preferred) for deploying AI systems. Understanding of RAG (Retrieval-Augmented Generation), vector databases, and memory systems. Experience with RPA or automation tooling is desirable. Knowledge of responsible AI principles and AI safety practices.
Personal Skills Intellectually curious, with a genuine passion for AI and autonomous systems. Strong problem-solving skills and the ability to navigate ambiguity effectively. Clear communicator — able to make complex AI concepts accessible to diverse audiences. Self-directed and proactive, with a strong ownership mentality. Collaborative and open, with a willingness to share knowledge and learn from others. Please only apply if you are within a commutable distance of our location.
Please note that if you are not within a commutable distance, your application may not be considered.
As our Apprentice AI Engineer, you will be at the frontier of our product capability designing and building autonomous, goal-directed AI agents that can reason, plan, and act across complex workflows.
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying Artificial intelligence (AI) and Automation Practitioner standard Level 4. You will also receive full training and support from the Leep Talent Apprenticeship team to increase your skills. Your training will include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification.
Learners can gain these optional exams at the end of the programme: AWS Certified AI Practitioner Microsoft AI-900 Azure AI Fundamentals Microsoft PL-900 Fundamentals Awarding Body: Accelerate People
Potential full-time position for the right candidate after completion of the apprenticeship.
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