Senior AI Engineer at Octopus Energy

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Energy, TechnologyIndustries

Requirements

Deep Understanding of GenAI - 2+ years of experience 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 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 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
Nice-to-Haves
Backend Development - Experience designing and building applications and services that encapsulate business logic, data and information flows and connect AI models into wider applications
Pipeline Design and Build - Experience integrating different types of databases and building and optimising data pipelines
Vector Databases and Knowledge Graphs - Familiarity with graph and vector databases such as Pinecone and Neo4J

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)
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

Skills

Key technologies and capabilities for this role

LLMsRAGAI AgentsEmbeddingsKnowledge RetrievalChunkingAI OpsObservabilityEvaluation Frameworks

Questions & Answers

Common questions about this position

What experience is required for the Senior AI Engineer role?

Candidates need 2+ years of experience working with LLMs using techniques like tool calling, agentic workflows, finetuning, and reinforcement learning, plus 5+ years building Python-based applications or data products in data-intensive and ML systems, and hands-on experience deploying AI applications to production.

What does the company culture at Octopus Energy emphasize?

Octopus hires clever, curious, and self-driven people, provides them with modern tools and infrastructure, and gives them lots of autonomy to solve wide open problems.

Is the salary specified for this position?

This information is not specified in the job description.

What is the work arrangement or location policy?

This information is not specified in the job description.

What makes a strong candidate for this Senior AI Engineer role?

A strong candidate will have deep GenAI expertise, proven experience building and deploying production AI applications, comfort with ambiguity, and the ability to develop scalable Python-based systems while acting as a center of excellence for AI best practices.

Octopus Energy

Provides affordable green energy solutions

About Octopus Energy

Octopus Energy provides affordable green energy solutions to households and businesses across multiple countries, including the UK, US, Japan, Germany, New Zealand, and Australia. The company focuses on the renewable energy market and utilizes technology and data to enhance its services. Its main product offerings include direct energy sales to consumers and the licensing of its proprietary Kraken technology platform to other energy providers. This platform helps streamline energy management and improve customer experience. Unlike many competitors, Octopus Energy emphasizes sustainability and offers additional services such as electric vehicle solutions. The company's goal is to make green energy accessible and affordable while promoting the use of renewable resources.

London, United KingdomHeadquarters

2016Year Founded

$2,476.6MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Automotive & Transportation, EnergyIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

401(k) Company Match

Parental Leave

Flexible Work Hours

Company Equity

OE Group Share Scheme

Risks

Increased competition in renewable energy may impact market share.

Rapid international expansion exposes Octopus to geopolitical risks.

£3 billion repayment to UK government could strain financial resources.

Differentiation

Octopus Energy's Kraken platform optimizes energy usage for zero-bill homes.

The company leads in electric aircraft charging with AeroVolt collaboration.

Octopus Energy's global reach includes partnerships in Brazil and Japan.

Upsides

'Zero Bills' initiative could revolutionize sustainable living in the UK.

Partnership with Energisa opens South American renewable energy market.

Investment in Ocergy enhances offshore wind capabilities globally.

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