Staff Software Engineer

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