At a Glance
- Tasks: Design and optimise advanced AI systems using cutting-edge technologies.
- Company: Join a pioneering AI team at the forefront of innovation.
- Benefits: Competitive pay, flexible work, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement potential.
- Why this job: Make a real impact in the AI field and shape the future of technology.
- Qualifications: Experience in AI/ML systems and strong Python skills required.
Up to £475/day Outside IR35 London 2 days per week in Office
We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, Large Language Models, NLP, GenAI pipelines, cloud ML platforms, and vector-based retrieval systems. This is an opportunity to join an advanced AI team building next-generation intelligent systems, multi-agent applications, and high-scale GenAI microservices. You will design, deploy, and optimise production-grade AI/ML systems powering millions of customer interactions. You will work across Python, cloud-native architectures, vector search, RAG frameworks, orchestration engines, and multi-agent systems, shaping AI capabilities that transform how organisations interact, automate, and understand their customers.
Key Responsibilities- Design, build, and optimise agentic AI systems using frameworks such as LangChain, LangGraph, Vertex AI Agent Builder, Bedrock Agents, AgentKit, CrewAI, and custom orchestration.
- Build LLM-powered applications using models including GPT-4o/5, Llama3, Claude, Gemini 2.5 Pro, Bard, and enterprise-grade LLM deployments.
- Implement RAG and CAG architectures using Pinecone, OpenSearch, Google GenAI Search, and custom vector stores.
- Engineer domain-tuned embeddings using ADA-002, Gecko, Word2Vec, BERT, Sentence Encoder, and topic modelling.
- Develop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD-driven automation.
- Build and enhance pipelines for model evaluation, bias/drift detection, real-time inference, and monitoring.
- Optimise inference latency for high-volume, near-real-time applications such as transcript and behavioural analysis.
- Apply text clustering, N-gram analytics, sentiment modelling, intent classification, and summarisation for insight extraction.
- Refine conversational intent taxonomies and behavioural models for more accurate AI assistant interactions.
- Use cloud services including SageMaker, Azure ML Studio, Vertex AI for training, deployment, and monitoring.
- Manage datasets using GCP Cloud Storage and implement secure, compliant data workflows.
- Establish guardrails, safety layers, automated evaluation frameworks, and prompt governance patterns.
- Ensure all AI systems meet stringent data governance, privacy, and financial-sector compliance requirements.
- Languages & Development: Python, Java, SQL, Shell Scripting, Node.js
- IDE experience: PyCharm, VS Code, JupyterLab, Eclipse, Notepad++, Sagemaker Studio, Azure ML Studio, Vertex AI Workbench
- Python Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, PySpark, SpaCy, SciPy, NLTK, Statsmodels, Boto3, Azure SDK
- NLP & LLMs: BERT, Word2Vec, Universal Sentence Encoder, NLTK, embeddings, fuzzy matching, topic modelling
- LLM experience: GPT-3.5/4o/5, Llama2/3, Claude, Gemini, Bedrock models, SQuAD fine-tuning, custom RAG agents
- AI Search & Vector Innovations: Pinecone, OpenSearch, LangChain/LangGraph, LangIndex, Vertex AI Search, Vector DBs, RAG pipelines
- Proven experience developing production-grade LLM, GenAI, NLP, or agent-based AI systems.
- Strong engineering foundation across Python, cloud platforms, APIs, and vector search.
- Experience with complex multi-agent AI orchestration.
- Ability to deliver high-scale, low-latency AI solutions in demanding environments.
- Strong collaboration, architectural thinking, and a passion for cutting-edge AI innovation.
AI Engineer, Agentic AI, Python, Pycharm, LLM, Agentic in Slough employer: Experis
At Agentic AI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our London office offers a dynamic work environment where AI Engineers can thrive, with opportunities for professional growth through cutting-edge projects in large language models and multi-agent systems. With competitive rates and a commitment to employee well-being, we empower our team to shape the future of intelligent systems while enjoying a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer, Agentic AI, Python, Pycharm, LLM, Agentic in Slough
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, or any of the frameworks mentioned in the job description. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud ML platforms, vector search, and AI governance. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer, Agentic AI, Python, Pycharm, LLM, Agentic in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with Agentic AI, LLMs, and Python. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with cutting-edge technologies.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's building LLM applications or optimising AI systems, we love seeing real-world examples of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Experis
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python, LLMs, and cloud platforms. Brush up on your experience with frameworks like LangChain and tools like PyCharm, as they might ask you to explain how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using AI/ML techniques. Think about examples where you designed or optimised AI systems, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Impact
It’s crucial to connect your technical skills to business outcomes. Be prepared to talk about how your work in AI has improved customer interactions or streamlined processes. This shows that you understand the bigger picture and can contribute to the company's goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current projects involving GenAI or how they approach AI governance. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
