PlayStation
Overview
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment is looking for a Senior Software Engineer to join our team. You will be part of an entirely new team getting formed with a laser focus of building an AI Middleware for the enterprise. You’ll collaborate closely with other dedicated Software developers, ML engineers and Integration specialists to deliver this platform. This opportunity is for those who excel at navigating intricate, fast-moving projects, overcoming tough technical hurdles, and staying at the forefront of modern web development trends. You’ll be part of a vibrant PlayStation culture that values innovation, creativity, and shaping the future of interactive entertainment. If you’re ready to join a team that drives innovation and builds experiences enjoyed by players around the world, this is the challenge you’ve been waiting for!
Key Responsibilities
Build and Operate AI Middleware : 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. Partner multi-functionally with architects, platform teams, and product owners to deliver business-aligned AI solutions, while staying at the forefront of emerging LLM and middleware trends.
Qualifications
6+ years of software engineering experience, including approximately 2 years working on ML, data, or LLM-focused 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
Other Information
Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including market and geographic location data. The base pay range may vary with our hybrid working policy and individual factors such as knowledge, skills, experience, and location. This role is eligible for SIE’s benefits package, which includes medical, dental, vision, 401(k) matching, paid time off, wellness program, and employee discounts for Sony products. This role may be eligible for a bonus. This is the estimated base pay range: $161,100 — $241,700 USD. 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, religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or parental status, trade union membership or membership in any other legally protected category. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
#J-18808-Ljbffr
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment is looking for a Senior Software Engineer to join our team. You will be part of an entirely new team getting formed with a laser focus of building an AI Middleware for the enterprise. You’ll collaborate closely with other dedicated Software developers, ML engineers and Integration specialists to deliver this platform. This opportunity is for those who excel at navigating intricate, fast-moving projects, overcoming tough technical hurdles, and staying at the forefront of modern web development trends. You’ll be part of a vibrant PlayStation culture that values innovation, creativity, and shaping the future of interactive entertainment. If you’re ready to join a team that drives innovation and builds experiences enjoyed by players around the world, this is the challenge you’ve been waiting for!
Key Responsibilities
Build and Operate AI Middleware : 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. Partner multi-functionally with architects, platform teams, and product owners to deliver business-aligned AI solutions, while staying at the forefront of emerging LLM and middleware trends.
Qualifications
6+ years of software engineering experience, including approximately 2 years working on ML, data, or LLM-focused 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
Other Information
Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including market and geographic location data. The base pay range may vary with our hybrid working policy and individual factors such as knowledge, skills, experience, and location. This role is eligible for SIE’s benefits package, which includes medical, dental, vision, 401(k) matching, paid time off, wellness program, and employee discounts for Sony products. This role may be eligible for a bonus. This is the estimated base pay range: $161,100 — $241,700 USD. 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, religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or parental status, trade union membership or membership in any other legally protected category. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
#J-18808-Ljbffr