GenAI Platform Engineer

E.ON Next Energy Limited; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading energy company is seeking a Generative AI Platform Engineer to enhance its AI Infrastructure. In this hybrid role, you will work part-time at the London office, designing and implementing scalable services for the platform. Candidates should have 2+ years in software engineering or related fields, proficiency in Python, and experience with cloud infrastructure like AWS or Azure. The position offers competitive salary and outstanding benefits, emphasizing a friendly and inclusive work culture.

Benefits

Competitive salary

26 days annual leave

Excellent parental leave allowance

Flexible benefits package

Qualifications

• Minimum 2 years of experience in relevant fields.
• Proficiency in Python and scalable API services.
• Extensive hands-on experience with cloud infrastructure.

Responsibilities

• Design, build, and maintain model serving layer.
• Engineer production-ready RAG infrastructure.
• Implement robust cost tracking and monitoring mechanisms.

Skills

Python

Cloud infrastructure

MLOps tools

Generative AI products

APIs development

Data privacy regulations

Education

2+ years in Software Engineering, ML Engineering, Data Science, or Data Engineering

Tools

AWS

GCP

Azure

Terraform

Docker

Job description

We are maintaining and enhancing our Generative AI Platform that enables our entire organisation to leverage Generative AI safely, efficiently and at scale. As a Generative AI Platform Engineer, you will be the force multiplier, moving beyond building end-user applications to developing robust, centralised services that power all internal GenAI product squads.You will be instrumental in designing and implementing our award winning Generative AI Platform Model Orchestration Layer, RAG infrastructure, communications layer, agentic layer and centralised governance/safety guardrails etc.This is a hybrid role, typically working 1 day per week at our Citigen office in London.**Here’s a taste of what you’ll be doing*** Design, build, and maintain the highly reliable Model Serving Layer (Gateways, load balancing, caching, throttling) for low-latency access to LLMs and other generative models.* Engineer and maintain production-ready Vector Database and Retrieval-Augmented Generation (RAG) infrastructure, including high-throughput indexing pipelines and efficient retrieval strategies for enterprise data.* Develop and manage a standardised, secure Agent Framework/SDK (e.g., based on LangGraph or a custom library) that promotes consistency and maintainability across all agents built from the platform.* Implement robust mechanisms for cost tracking, monitoring, and precise cost allocation/chargebacks per squad, alongside implementing rate-limiting and budget controls.* Systematically benchmark, curate, and integrate the most cost-effective and performant models for distinct use cases.* Build and maintain scalable, secure infrastructure and data pipelines for custom model fine-tuning requested by product teams.* Architect and deploy platform-level safety filters (e.g., toxicity, PII masking, jailbreak prevention) that are enforced across all model inputs and outputs* Build and maintain the centralised logging, monitoring, and observability stack to track crucial GenAI metrics (hallucination rate, latency, token usage, and drift detection).* Ensure the platform and RAG data handling adheres to strict compliance and data privacy regulations (e.g., GDPR) through automated enforcement and auditing.* Drive the quality of the developer experience by writing exceptional SDKs, clear APIs, comprehensive documentation, and contributing to internal knowledge sharing (e.g. through workshops).* Minimum 2 years of experience in Software Engineering, ML Engineering, Data Science, or Data Engineering with a (bonus) specialised focus on building Generative AI products or agent-based systems.* Proficiency in Python and developing highly concurrent, scalable API services and microservices in a cloud environment.* Extensive, hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform), Docker - containerisation. An understanding of kubernetes.* Understanding of LLM architectures, inference serving optimization techniques (quantisation, caching), and MLOps tooling (e.g., MLFlow, Kubeflow).* Proven experience designing, implementing, and optimising complex RAG pipelines using vector databases (e.g., Pinecone, PGVector).* Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, Langgraph, or custom implementation) and defining tool-use patterns.* Demonstrated experience designing complex, multi-tenant platform systems, prioritising reliability, security, and separation of concerns.* Proven ability to engineer for operational efficiency, with a track record of implementing cost-saving measures in large-scale cloud deployments.* A strong commitment to improving Developer Experience (DX) and acting as a technical consultant for internal product teams.**Here’s what you need to know*** **Role may close earlier due to high applications.*** Competitive salary.* Location – Citigen, 47-53 Charterhouse Street, London, EC1M 6PB* Excellent parental leave allowance.* **Award-Winning Workplace** - We’re proud to be named a Sunday Times Best Place to Work 2025 and the Best Place to Work for 16–34-year-olds.* **Outstanding Benefits** - Enjoy 26 days of annual leave plus bank holidays, a generous pension, life cover, bonus opportunities and access to 20 flexible benefits with tax/NI savings.* **Flexible & Family-Friendly** - Our industry-leading hybrid and family-friendly policies earned us double recognition at the Personnel Today Awards 2024. We’re open to discussing how flexibility can work for you.* **Inclusive & Diverse** - We’re the only energy company in the Inclusive Top 50 UK Employers. We’re also proud winners of Best Employer for Women and Human Company of the Year—recognising our inclusive, people-first culture.* **Support at Every Stage of Life** - We’re Fertility Friendly and Menopause Friendly accredited, with inclusive support for everyone.* **Accessible & Supportive*** **Invested in Your Growth** - From inclusive talent networks to top-tier development programmes, we’ll support your growth every step of the way.* For all successful candidates - due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider.