Hybrid Senior Applied AI Engineer

Posted last week

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About the role

  • **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).
  • **Centre of Excellence - **Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption.
  • **Context Engineering - **Design systems for prompt assembly: Create prompt templates, system prompts and guidelines for platform users.
  • **Governance and Guardrails** - Create governance layers for implementing PII redaction, prompt filtering etc.

Requirements

  • **Deep Understanding of GenAI** - 2+ year experience of working with LLMs and using techniques such as tool calling, agentic workflows, finetuning and reinforcement learning.
  • **Data Product Development - **5+ years of experience building Python-based applications and/or data products, with hands-on work in data-intensive and machine learning systems.
  • **GenAI Application Development** - Hands-on experience of building AI applications which have been successfully deployed into production.
  • **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.

Benefits

  • 💰 Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
  • 🎉 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership
  • 🎁 Visit our UK perks hub - Octopus Employee Benefits

Job title

Senior Applied AI Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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