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Leading Engineer for Cloud-Native Applications
3 weeks ago
Unlock the next level of your software engineering career by taking on a leadership role in our organization. This exciting opportunity will challenge you to build and operate sophisticated Large Language Model (LLM) driven applications.
Job DescriptionWe are seeking an experienced software engineer with expertise in Python and prior experience in utilizing LLMs. As an LLM Engineering Lead, you will collaborate closely with various teams to prototype, build, test, and deploy a large-scale federated LLM platform.
You will work with an agile team that builds and delivers trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy, and operate machine learning-driven applications and data pipelines.
- Hands-on involvement in building and operating highly sophisticated LLM driven applications.
- Partnering directly with other technology teams on LLM projects to advise and assist as needed.
- Collaborating with engineering teams and product to deliver state-of-the-art LLM-based solutions.
- Executing creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches.
- Developing secure high-quality production code, and reviewing and debugging code written by others.
To succeed in this role, you must have:
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Educated to degree level in a computer science or related discipline.
- Advanced Python programming skills.
- Proven experience in building and operating scalable ML-driven products.
- Azure and/or AWS certifications (Architect, Big Data, AI/ML) and hands-on experience in Azure and AWS.
- Proficiency with cloud technologies like Kubernetes, Airflow.
- Experience working in a highly regulated environment.
- Proven ability to iterate quickly.
- Proficient in all aspects of the Software Development Life Cycle.
- Terraform, IaaC experience.
- Experience with design & delivery of large-scale cloud-native architectures and microservices performance tuning, performance optimization, real-time applications.
While not required, the following qualifications, capabilities, and skills are preferred:
- Experience with financial data and data science.
