Senior AI Engineer

5 months ago

London, United KingdomSenior

Responsibilities

Experiment with generative AI frameworks, tools, and model APIs.
Build retrieval-augmented generation prototypes using vector stores and knowledge graphs.
Develop and test agentic architectures through the Genie Platform.
Explore LLMOps, model evaluation, and model observability tools.
Deploy AI solutions in AWS, Azure, and GCP cloud and DevOps environments.
Work with clients and cross-functional teams to solve problems on client and internal projects.
Participate in technical problem-solving, knowledge sharing, coaching, and mentoring.

Software engineering experience with a passion for AI or data science experience combined with strong engineering skills.
Experience with a programming language suited to AI-system development and data workflows.
Experience integrating models with APIs, data sources, or production systems.
Interest or experience with LLMs, graph- and vector-based RAG pipelines, and agent frameworks.
Understanding of AWS, GCP, or Azure cloud-native environments and DevOps or DevSecOps practices.
Understanding of prompt engineering, context engineering, model evaluation, and LLMOps tools.
Solid understanding of distributed systems, microservices, and RESTful APIs.
Collaborative mindset with willingness to share, learn, and teach.

Private healthcare and health and lifestyle benefits for employees and families.
25 days of annual leave plus a bonus half day on Christmas Eve, with the option to buy five additional days.
Generous company pension scheme.
Community and charity initiative opportunities.
Annual performance-based bonus and PA share ownership.
Tax-efficient benefits including cycle to work and give as you earn.
Technical and non-technical training budget and opportunities to gain certifications.
Hybrid working with at least two days per week in an office or on a client site, and some assignments requiring up to five days per week on a client site.

5,001-10,000 employees