AI Engineer

PlayStation; San Diego (CA); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Bonus package

Medical, dental, and vision benefits

Matching 401(k)

Paid time off

Wellness program

Employee discounts

Job summary

PlayStation in San Diego is looking for an AI Software Engineer to design and implement AI capabilities for the D2C ML Engineering team. This role focuses on transforming AI into reliable products and involves collaboration across various teams to enhance decision-making processes in digital commerce.

The ideal candidate has a Bachelor's degree and experience in software engineering, particularly in Python, Java, and cloud services. The position offers a competitive salary of $150,000—$225,000 USD.

Qualifications

• 2+ years of professional software engineering experience.
• Hands-on experience with applied AI features and generative AI.
• Experience with API development, testing, and debugging.

Responsibilities

• Implement services and workflows for LLM-powered automation.
• Collaborate to prototype solutions and measure outcomes.
• Build scalable APIs and microservices in Python or Java.

Skills

Python

Java

AI Engineering

Cloud Services (AWS)

Model APIs

RAG and Retrieval Systems

AI Observability

Communication Skills

Education

Bachelor's degree in computer science, engineering, or related field

Tools

OpenSearch

LangChain

AWS Bedrock

Job description

AI Software Engineer - D2C - SPOC

Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA

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, 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 comfortable building with 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 Integrations: Build AI workflows that use tool/function calling, structured outputs, workflow state, internal APIs, and human review patterns to take useful action while staying auditable and controlled.
• Develop Retrieval and Knowledge Systems: Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness strategies.
• Improve AI Quality, Safety and Evaluation: Create and maintain evaluation suites, regression tests, prompt/model versioning, trace analysis, guardrails, policy checks, PII handling, hallucination mitigation, and operational monitoring.
• Production AI Engineering: Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services.
• Cloud Delivery and Automation: Deploy AI services using AWS, containers, infrastructure as code, CI/CD pipelines, secrets management, observability, and operational runbooks.
• Cross-Functional Collaboration: Participate in design reviews, implementation planning, troubleshooting, documentation, and knowledge sharing across technical and non-technical teams.

What we’re looking for

• Educational Background: Bachelor's degree in computer science, engineering, a related technical field, or equivalent practical experience, with 2+ years of professional software engineering experience.
• Applied AI Experience: Hands‑on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services.
• Coding Proficiency: Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design.
• Cloud Competency: Experience with AWS or equivalent cloud services.
• RAG and Retrieval Systems: Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores such as OpenSearch, Pinecone, Weaviate, Redis, pgvector, Azure AI Search, or similar technologies.
• Agent and Workflow Orchestration: Experience with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, N8N, AWS Bedrock Agents and Knowledge Bases, or comparable tools.
• Structured Outputs and Tool Use: Experience designing prompts, schemas, tool/function calls, workflow contracts, and validation logic so AI systems can produce dependable outputs and interact safely with internal systems.
• AI Observability and Evaluation: Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools such as LangSmith, Arize Phoenix, OpenTelemetry, Datadog, Splunk, New Relic, CloudWatch, or comparable platforms.
• Communication Skills: Exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms.

Preferred Skills

• Model Context and Connectors: Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools, databases, documents, and workflows.
• Multimodal AI Systems: Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows.
• Commerce or Trust Domain Experience: Experience applying AI to fraud, payments, risk, customer support, marketplace operations, trust and safety, content operations, or digital commerce business processes.

The estimated base pay range for this role is $150,000—$225,000 USD.

This role also may be eligible for a bonus package and a top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program, and employee discounts.

Equal Opportunity Statement: Sony Interactive Entertainment is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category.

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