Staff Software Engineer

PlayStation; City Of London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading global entertainment company is seeking a Staff Engineer specializing in AI middleware to develop advanced AI platforms. The ideal candidate will have over 10 years in software engineering, with extensive experience in Python and TypeScript. This hands-on role requires expertise in ML-centric systems and systems integration. Join a collaborative environment dedicated to innovation and diversity.

Qualifications

• More than 10 years in software engineering with 3 years in ML- or LLM-centric systems.
• Proficiency in Python or TypeScript with strong software-engineering fundamentals.
• Practical knowledge of ML/GenAI concepts such as embeddings and prompt engineering.

Responsibilities

• Architect and operate AI middleware securely.
• Build and govern agentic workflows.
• Develop enterprise data and context pipelines.

Skills

AI middleware expertise

Systems integration

Full-stack development

Python

TypeScript

Collaboration

Tools

Kubernetes

Docker

Terraform

AWS

Job description

Overview

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

We are in search of a Staff Engineer with expertise in AI middleware and agent technology to help develop future AI middleware and agent platforms for PlayStation IT. This role blends deep expertise in AI engineering, systems integration, and full-stack development to design and deliver intelligent agents that operate across enterprise domains.

This is a hands-on senior engineering role that requires a strong bias for action, an agile attitude, and the ability to change directions quickly as the AI landscape evolves.

Key Responsibilities

• Architect and Operate AI Middleware: Design, implement, and manage Model Context Protocol (MCP) servers, gateways, and API wrappers that securely expose enterprise systems, tools, and data for AI agent consumption.
• Build and Govern Agentic Workflows: Deploy and extend agentic AI platforms (e.g., LangGraph, LangChain) to deliver resilient orchestration, enforcing governance, tracing, audit logs, and human-in-the-loop controls.
• Develop Enterprise Data & Context Pipelines: Build scalable pipelines for parsing, cleaning, embedding, and storing structured and unstructured enterprise data (text, code, multimedia) to enable retrieval-augmented generation and domain-specific agent knowledge.
• Productize and Optimize AI Services: Translate prototypes into production-grade microservices (Python/TypeScript, Kubernetes, CI/CD), optimizing for latency, throughput, resilience, and token/cost efficiency.
• Ensure Security, Compliance, and Reliability: Engineer AI middleware and workflows that meet enterprise standards for safety, governance, compliance, and fault tolerance, with built-in monitoring, telemetry, and automated evaluation harnesses.
• Lead, Collaborate, and Mentor: Partner multi-functionally with architects, platform teams, and product owners to deliver business-aligned AI solutions, while mentoring engineers and staying at the forefront of emerging LLM and middleware trends.

Qualifications

• More than 10 years in software engineering, with a minimum of 3 years involved in building ML-, data-, or LLM-centric systems.
• Proficiency in Python or TypeScript (ideally both) with strong software-engineering fundamentals (testing, design patterns, observability, performance tuning).
• Practical knowledge of ML/GenAI concepts: embeddings, vector search, prompt engineering, fine-tuning, and evaluation metrics.
• Solid understanding of workflow orchestration frameworks for LLM/GenAI pipelines.
• Hands-on experience with data-pipeline tooling and batch/stream ETL.
• Solid understanding of cloud platforms (AWS preferred), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CDK).
• Excellent communication skills and a proven ability to collaborate across teams in a fast-paced environment.

Domain Expertise

• LLM tooling: LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, OpenAI or Anthropic APIs
• Data stores: Postgres, DynamoDB, Redis, and vector databases such as Pinecone, Weaviate, FAISS
• Observability: distributed tracing, metrics dashboards, cost monitoring for token-based services
• Security & Responsible AI: PII redaction, content-safety filters, bias evaluation
• Bonus: proficiency in Go, experience with multimodal or edge inference, contributions to GenAI open-source projects

Equal Opportunity Statement

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.