$150,000 – $225,000
Listed on Bend Studio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Sony Interactive Entertainment seeks an AI software engineer to design and deploy production AI systems—including LLM-powered workflows, retrieval-augmented generation, and agentic systems—that solve real business problems across PlayStation's digital commerce and player-facing services. This role suits a strong backend or platform engineer with hands-on experience building applied AI features and shipping them reliably to scale.
Our summary, not Bend Studio’s wording. The full posting is on their site.
Skills this role names
- Agentic Workflows
- Amazon CloudWatch
- Amazon Web Services (AWS)
- Datadog
- Embeddings
- Java
- LangChain
- LangGraph
- LlamaIndex
- Model Context Protocol
- n8n
- New Relic
- OpenAI Agents SDK
- OpenTelemetry
- Pinecone
- Python
- Redis
- Retrieval-Augmented Generation (RAG)
- Semantic Kernel
- Splunk
- Vector Databases
- Weaviate
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What they ask for
Required
- Bachelor's degree in computer science, engineering, related technical field, or equivalent practical experience
- 2+ years professional software engineering experience
- Hands-on experience building AI or generative AI features connecting model APIs to business workflows
- Strong coding proficiency in Python and/or Java including API development, testing, and service design
- Experience with AWS or equivalent cloud services
- Familiarity with embeddings, chunking, indexing, vector and hybrid search, reranking, and vector stores
- Experience with AI orchestration patterns and tools like LangChain, LangGraph, or LlamaIndex
- Experience designing prompts, schemas, tool/function calls, and validation logic for AI systems
- Familiarity with tracing, monitoring, evaluation, and debugging tools like LangSmith or CloudWatch
- Exceptional communication skills and ability to collaborate across teams
Nice to have
- Familiarity with Model Context Protocol or similar patterns for connecting AI to enterprise tools
- Experience with multimodal AI systems including text, image, document, audio, or video models
- Experience applying AI to fraud, payments, risk, customer support, marketplace operations, or digital commerce