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AI Engineer London
Sharegain
London, UAE
Full Time
Senior
4 weeks ago
LLMPythonKubernetesDockerAWSAzure
Free
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LLMPythonKubernetes
About the Role
Sharegain is seeking an experienced AI Engineer to join their R&D team in London. You will deliver scalable web applications from idea to production, owning AI features including autonomous agents and intelligent workflows.
Key Skills for This Role
LLMPythonKubernetesDockerAWSAzure
Responsibilities
- End to end ownership of AI & agent systems from architecture and design through implementation and production
- Design, maintain, monitor, and troubleshoot cloud applications
- Drive technical excellence, high product quality, innovation, and timely delivery
- Translate business needs into concrete system architecture and implement end to end across the stack
Requirements
- 6+ years of software development experience
- Proven LLM experience: write, optimize, and measure effectiveness of AI prompts and applications
- Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab)
- Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity
- Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing
- Experience with at least one major cloud provider (AWS, Azure, or GCP)
- Experience with Kubernetes and Docker containers
- Experience designing and building microservices architecture
- A team player with a positive attitude and a problem solver mindset
Full Job Posting
About Us
- Sharegain built a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients.
- The platform is called SLaaS: Securities Lending as a Service, a fully digital, customizable, end to end solution.
About The Role
- We are looking for an experienced AI Engineer to join our R&D team.
- You will be delivering scalable web applications from idea to production, taking care of all aspects of software development.
Responsibilities
- End to end ownership of AI & agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI native features such as autonomous agents and intelligent workflows.
- Own the full model quality lifecycle from experimentation through to production monitoring and improvement.
- Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
- Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production critical environment.
- Translate business needs into concrete system architecture and implement it end to end across the stack.
Requirements
- 6+ years of software development experience
- Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications.
- Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions.
- Translate cutting edge LLM capabilities into reliable, production grade systems.
- Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production ready code.
- Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance.
- Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing.
- Experience with at least one major cloud provider (AWS, Azure, or GCP).
- Experience with Kubernetes and Docker containers.
- Experience designing and building microservices architecture.
- A team player with a positive attitude and a problem solver mindset.
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