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Senior AI Engineer

2 months ago

London, Greater London, United Kingdom MongoDB Full time
About the Role

We are seeking an experienced customer-facing developer with a strong background in Artificial Intelligence to join our team at MongoDB. As a Senior AI Engineer, you will be responsible for designing and developing technical enablement programs for our customers and partners, with a focus on AI-related solutions and offerings.

Key Responsibilities
  • AI Research and Development: Stay up-to-date with the latest advancements in AI, particularly in the area of generative AI, and apply this knowledge to improve our products and offerings.
  • Technical Enablement: Develop and deliver technical training programs for our customers and partners, focusing on AI use cases and MongoDB products.
  • Collaboration and Communication: Work closely with our product engineering, customer engineering, and sales teams to stay informed about new products, features, and customer adoption scenarios.
  • Content Creation: Develop engaging, accurate, and in-depth enablement content that helps our consultants succeed in helping our customers adopt MongoDB for AI use cases.
  • Playbook Development: Build out and support the development of playbooks, best practices, and other technical consulting resources to drive a culture of excellence.
  • Advisor Role: Act as an advisor for our consulting engineers, answering technical questions, finding resources for further study, and connecting them to different teams and processes within the organization.
Requirements
  • 4+ years of experience as a software developer.
  • 1+ year of experience in the Artificial Intelligence field, building AI and RAG-based applications.
  • Competency with prompt engineering and creating prompts to address project and customer requirements specifically for coding.
  • Ability to tune LLMs to provide required outputs, such as modifying Temperature, Top P, and Top K values.
  • Knowledge of AI frameworks such as Langchain or Llama.
  • Experience with AI embedding models such as Nomic or Cohere.
  • Strong proficiency in Python (and experience with AI libraries).
  • History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines, and using Git version control.
  • Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations, including requirements engineering.
  • Excellent analytical, diagnostic, and problem-solving skills.
  • Ability to adapt to innovative technologies and learn quickly in a fast-paced environment.
  • Strong verbal and written communication skills.
  • High motivation for a role that combines deep technical work with the softer skills needed to incept and drive change and improvement across the organization.
  • A 'can-do' attitude, and the ability to work collaboratively and cross-functionally.
  • Ability to travel occasionally to other MongoDB offices or customer sites.
  • Ability to speak and write English fluently.
Nice-to-Have Experience
  • Development with databases, ideally MongoDB, or others such as Oracle, MSSQL Server, PostgreSQL.
  • Working knowledge of microservices architectures and Domain-Driven Design approaches.
  • 1+ years in enterprise technology professional services, in a consulting or other customer-facing delivery role.
  • AI-specific tools such as TensorFlow, Google Cloud AI Platform, Amazon SageMaker, etc.
  • Working in a number of distinct industries/verticals.