AI Engineer
AI summary of the role
SIE's D2C ML Engineering team is hiring an applied AI engineer to build production AI capabilities for PlayStation's digital commerce ecosystem.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build applied AI features including LLM-powered automation, retrieval, tool use, summarization, classification, and decision support workflows.
- Develop RAG and agentic retrieval pipelines using embeddings, vector databases, hybrid search, reranking, and citations.
- Create and maintain evaluation suites, guardrails, PII handling, hallucination mitigation, and operational monitoring for AI quality and safety.
- Deploy scalable APIs, microservices, and event-driven workflows in Python or Java with attention to reliability and security.
What you’ll bring
- Bachelor's degree in computer science, engineering, or related field with 2+ years professional software engineering experience.
- Hands-on experience building AI or generative AI features connecting model APIs to business workflows.
- Strong software engineering skills in Python and/or Java including API development and testing.
- Experience with AWS or equivalent cloud services.
Technologies
Python · Java · AWS · LangChain · LangGraph · LlamaIndex · OpenAI Agents SDK · OpenSearch · Pinecone · Weaviate
About Sony Interactive Entertainment Global
Sony's PlayStation business builds consoles, network services, peripherals, and first-party games for a global player ecosystem spanning PS5, PlayStation Plus, studios, and PC expansion.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software Engineer to help design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations,
More from the job description
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. AI Software Engineer - D2C - SPOC Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA Who we are The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Softwar [... source excerpt omitted ...] This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support. The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ideal candidate is a strong software engineer with backend or platform experience and practical hands-on applied AI experience. You are c [... source excerpt omitted ...] foundation model APIs, vector and hybrid search, prompt and model evaluation, AI observability, and cloud-based services, and you are eager to learn while contributing to reliable production systems. What you’ll be doing Build Applied AI Features: Implement services, workflows, and reusable components for LLM-powered automation, retrieval, tool use, summarization, classification, decision support, and knowledge workflows. Solve Business Problems with AI: Collaborate with operations, product, data, risk, and engineering stakeholders to understand use cases, prototype solutions, measure outcomes, and help move proven capabilities into production. Support Agentic Workflows and Int
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