Artificial Intelligence Engineer

Bounce Digital
London
1 year ago
Applications closed

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Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Artificial Intelligence Offerings Lead Architect

Role:AI Engineer

Salary/Package:£50k-£70k

Company Sector:Fintech / ESG

Tech:Python, AWS (CDK), Terraform, LLM, Langchain

Location:Central London

WFH / Hybrid:2 days a week on site


Bounce have partnered up exclusively with an innovative start-up revolutionizing portfolio management by streamlining data collection and enhancing collaboration between investors and their portfolio companies.


Their automated data platform simplifies everything from financials to ESG analysis and reporting, empowering data-driven decision-making for private equity, venture capital, and government-backed funds.


We are looking for an experienced AI Infrastructure Engineer with a strong background in prompt engineering. The ideal candidate will be tasked with designing and maintaining AWS infrastructure for AI tools, developing prompt engineering solutions, and managing the LangChain and LangFuse frameworks. Expertise in Python is essential.


Key Responsibilities:


●AWS Infrastructure Development:

  • Design, implement, and manage scalable AWS infrastructure for AI applications.
  • Leverage AWS Cloud Development Kit (CDK) for infrastructure creation and management.
  • Optimize resource usage while ensuring high availability and security.

●Prompt Engineering:

  • Develop and refine prompts to improve AI model performance.
  • Collaborate with the AI team to test and iterate on prompt engineering strategies.

●LangChain and LangFuse Management:

  • Integrate and oversee LangChain and LangFuse within AI workflows.
  • Stay current with new features and industry best practices.

●Python Development:

  • Write clean, efficient, and maintainable Python code.
  • Develop scripts and tools to automate infrastructure processes.

●Collaboration and Support:

  • Partner with cross-functional teams to align infrastructure with business objectives.
  • Provide support and troubleshoot issues related to AI infrastructure.

●Continuous Improvement:

  • Stay updated on the latest advancements in AI and cloud infrastructure.
  • Recommend and implement enhancements to existing systems.

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