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Mid LevelFull-timePythonMachine LearningCI/CDGitAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an AI Engineer to join Octopus, a company dedicated to using technology to accelerate towards a low-carbon future. This role involves building and scaling systems that allow Octopus teams to use Generative AI models, including LLMs, RAG, and agents. You will work with a cross-functional team to develop flagship AI projects and establish best practices for working with AI at Octopus.
Key Responsibilities
- →Design and Develop AI Platform Services - Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
- →Knowledge Base Development - Build and maintain knowledge retrieval systems including embedding generation, chunking, and strategies for database management.
- →AI Ops, evals and observability - Setting up frameworks for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
- →Context Engineering - Design systems for prompt assembly: Create prompt templates, system prompts and guidelines for platform users.
Requirements
- ✓Deep Understanding of GenAI - experience working with LLMs.
- ✓Data Product Development - experience building Python-based applications and/or data products, with hands-on work in data-intensive and machine learning systems.
- ✓AI model evaluation and observability - Experience of different ways of evaluating AI models and applications. Implementing logging, tracing, and monitoring in systems.
- ✓Context Engineering and Knowledge Grounding - Experience of optimising and grounding GenAI models and applications through prompt design, RAG and knowledge base integration.
- ✓Software Development Practices - Strong grounding in Git, testing, CI/CD frameworks.
- ✓Ability to thrive in a fast moving environment - Dealing with ambiguity, setting clear priorities, and translating ideas into actionable plans.
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