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- Tasks: Develop cutting-edge AI solutions using advanced machine learning and NLP techniques.
- Company: Join Braintrust, a leader in innovative AI technology and community-driven knowledge sharing.
- Benefits: Enjoy a full-time role with competitive salary and opportunities for professional growth.
- Why this job: Be at the forefront of AI development, working with the latest technologies and frameworks.
- Qualifications: 5+ years in software engineering with expertise in ML, NLP, and AI agent frameworks required.
- Other info: This is a mid-senior level position based in London, offering a dynamic work environment.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Agentic AI Engineer role at Braintrust
Join to apply for the Agentic AI Engineer role at Braintrust
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Job Description
We are seeking an experienced Agentic AI Engineer with a robust background in software engineering, machine learning, and advanced NLP systems. This role will focus on building intelligent, multi-agent architectures that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cognitive orchestration to deliver cutting-edge AI solutions. The ideal candidate has a solid engineering foundation, practical experience deploying ML models, and a strong grasp of agent frameworks, tool-use, and memory mechanisms in autonomous systems.
Job Description
We are seeking an experienced Agentic AI Engineer with a robust background in software engineering, machine learning, and advanced NLP systems. This role will focus on building intelligent, multi-agent architectures that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cognitive orchestration to deliver cutting-edge AI solutions. The ideal candidate has a solid engineering foundation, practical experience deploying ML models, and a strong grasp of agent frameworks, tool-use, and memory mechanisms in autonomous systems.
Key Responsibilities
- Write clean, scalable code using Python with strong object-oriented programming (OOP) principles.
- Train and evaluate models using supervised, unsupervised, and reinforcement learning.
- Work with modern foundation models such as GPT, Claude, LLaMA, and Mistral.
- Apply core NLP principles, including prompt engineering, tokenization, and embeddings.
- Leverage tools like LangChain, LlamaIndex, HuggingFace Transformers, and OpenAI APIs.
- Build efficient RAG pipelines with chunking strategies and context injection.
- Design and deploy agent-based systems using LangGraph, LangChain agents, CrewAI, AutoGen, or custom planners.
- Implement and orchestrate tools, memory, and planning components in agent workflows.
- Develop dynamic behaviors for multi-agent communication, tool use, and task decomposition.
Qualifications
- 5+ years in software engineering with a strong focus on ML/NLP.
- Deep experience with LLMs, NLP toolkits, and modern AI agent frameworks.
- Strong grasp of scalable backend and infrastructure engineering.
- Demonstrated ability to build production-grade ML and AI systems.
- Passion for autonomous systems, agent design, and next-gen AI applications.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Technology, Information and Internet
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Agentic AI Engineer employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Being able to discuss recent developments or projects you've worked on that utilise these technologies can set you apart during interviews.
✨Tip Number 2
Engage with the AI community by participating in forums, attending meetups, or contributing to open-source projects. This not only enhances your knowledge but also helps you network with professionals who might provide referrals or insights into the role.
✨Tip Number 3
Prepare to demonstrate your coding skills in Python, particularly focusing on object-oriented programming principles. Practising coding challenges related to machine learning and NLP can help you feel more confident during technical assessments.
✨Tip Number 4
Showcase your experience with agent frameworks and memory mechanisms in autonomous systems. Be ready to discuss specific examples of how you've implemented these concepts in past projects, as this will highlight your practical expertise.
We think you need these skills to ace Agentic AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, machine learning, and NLP systems. Emphasise any projects or roles where you've worked with LLMs, RAG, or agent frameworks.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and autonomous systems. Mention specific technologies and methodologies you’ve used, such as Python, prompt engineering, or HuggingFace Transformers, to demonstrate your fit for the role.
Showcase Relevant Projects: Include a portfolio or links to projects that illustrate your skills in building multi-agent architectures or deploying ML models. This could be GitHub repositories or case studies that reflect your hands-on experience.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, ML, or NLP that you've completed. This shows your commitment to staying updated in a rapidly evolving field and can set you apart from other candidates.
How to prepare for a job interview at Braintrust
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning, and NLP systems in detail. Highlight specific projects where you've implemented LLMs or built agent-based architectures, as this will demonstrate your hands-on expertise.
✨Understand the Company’s AI Vision
Research Braintrust's approach to AI and their current projects. Understanding their goals and how your skills align with their vision will help you articulate why you're a great fit for the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to multi-agent systems and RAG pipelines. Practice explaining your thought process clearly and concisely.
✨Demonstrate Passion for Autonomous Systems
Express your enthusiasm for autonomous systems and next-gen AI applications during the interview. Share any personal projects or research that reflect your passion, as this can set you apart from other candidates.
