At a Glance
- Tasks: Design, build, and deploy cutting-edge AI systems that impact thousands of users.
- Company: Exciting AI startup backed by major players like Anthropic and OpenAI.
- Benefits: Equity options, hybrid work model, and a fast-paced, innovative environment.
- Other info: Collaborative culture with opportunities for rapid career growth.
- Why this job: Join a dynamic team shaping the future of AI with real-world applications.
- Qualifications: 4+ years in AI applications, experience with LLMs, and a passion for innovation.
The predicted salary is between 80000 - 98000 £ per year.
We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
The Opportunity
As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products. You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
What You'll Be Working On
- Building and deploying AI-powered products and intelligent agent workflows
- Developing and optimising LLM applications for production environments
- Designing agentic systems capable of complex reasoning and task execution
- Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
- Running user experiments and A/B testing to improve model performance and user experience
- Working closely with Product and Engineering teams to rapidly ship new features
- Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
Key technologies include:
- Python
- LangGraph
- LangChain
- OpenAI APIs
- Anthropic APIs
- Vector Databases
- Agentic AI Frameworks
- LLM Evaluation & Observability Tools
- Cloud Platforms (AWS, GCP or Azure)
We're Looking For People Who
- Have 4+ years’ experience building and deploying AI applications into production
- Have worked with LLMs, AI agents, RAG systems, or generative AI products
- Thrive in fast-paced startup environments
- Enjoy solving complex technical challenges with a product-first mindset
- Are comfortable working with ambiguity and taking ownership
- Have experience in a high-growth startup that has scaled through Seed to Series A or Series A to Series B funding
- Are passionate about the future of AI and excited by the pace of innovation in the market
AI Engineer employer: StaffHost digital
At StaffHost digital, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Our London-based hybrid role offers the perfect balance of flexibility and in-person collaboration, along with ample opportunities for professional growth and development in the dynamic field of SAP finance solutions. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact on client success.
