Senior Engineer at Bank of America
Dublin, County Dublin, Ireland -
Full Time


Start Date

Immediate

Expiry Date

18 May, 25

Salary

0.0

Posted On

02 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Graphql

Industry

Information Technology/IT

Description

LOCATION OVERVIEW:

Our Central Park office in Leopardstown, boasts modern facilities based in Dublin’s premium business park. With an onsite gym and staff restaurant, all your daily needs are conveniently catered for. Travel options include the LUAS network and the Central Park shuttle service between Dublin City Centre and Central Park. We also provide tax saver tickets as part of our award-winning benefits package, which means getting to work has never been so easy.
Role Description:
We are seeking a highly skilled Senior Python Developer with experience in Generative AI technologies to join our dynamic Cybersecurity Product Development Team. In this role, you will be instrumental in designing and implementing AI-driven solutions that drive innovation within a well-established Cybersecurity Technology team. The ideal person will have good experience with Python, good understanding of deep learning frameworks, and hands-on knowledge of LLMs, fine-tuning, and prompt engineering. You will collaborate with various cross functional teams to develop scalable applications that redefine industry standards

Responsibilities:

  • Design, develop and maintain Python based applications with clean, efficient and scalable code.
  • Work with large-scale datasets, unstructured text and multimodal inputs.
  • Build scalable APIs and microservices.
  • Implementation of RAG for efficient inference.
  • Work closely with ML engineers, data scientists, technology infrastructure and DevOps teams.
  • Mentor junior developers on best practices and development workflows.

SKILLS THAT WILL HELP:

  • Experience with LLMs , NLP embeddings and RAG based architectures.
  • Experience in GraphQL.
Responsibilities
  • Design, develop and maintain Python based applications with clean, efficient and scalable code.
  • Work with large-scale datasets, unstructured text and multimodal inputs.
  • Build scalable APIs and microservices.
  • Implementation of RAG for efficient inference.
  • Work closely with ML engineers, data scientists, technology infrastructure and DevOps teams.
  • Mentor junior developers on best practices and development workflows
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