3 months ago
San Diego, CA, USAMid Level

Base Salary

$150k - $225k/yr

Responsibilities

  • Build services, workflows, and reusable components for LLM-powered automation, retrieval, tool use, summarization, classification, decision support, and knowledge workflows.
  • Collaborate with operations, product, data, risk, and engineering stakeholders to identify use cases, prototype solutions, measure outcomes, and productionize successful capabilities.
  • Develop agentic workflows using tool or function calling, structured outputs, workflow state, internal APIs, and human-review patterns.
  • Build retrieval and knowledge pipelines using enterprise content and operational data, embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness strategies.
  • Create evaluation suites, regression tests, prompt and model versioning, trace analysis, guardrails, policy checks, PII handling, hallucination mitigation, and operational monitoring.
  • Develop scalable APIs, microservices, and event-driven workflows in Python or Java.
  • Deploy AI services using AWS, containers, infrastructure as code, CI/CD pipelines, secrets management, observability, and operational runbooks.
  • Participate in design reviews, implementation planning, troubleshooting, documentation, and knowledge sharing.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related technical field.
  • Hands-on experience building AI or generative-AI features that connect model APIs to business workflows, data, documents, or internal services.
  • Strong Python and/or Java software engineering skills, including API development, testing, debugging, asynchronous processing, and maintainable service design.
  • Experience with AWS or equivalent cloud services and infrastructure.
  • Experience using foundation-model APIs or platforms such as OpenAI/Azure OpenAI, Anthropic Claude, Google Gemini or Vertex AI, AWS Bedrock, Mistral, or Meta Llama.
  • Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores.
  • Experience or familiarity with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, or AWS Bedrock Agents and Knowledge Bases.
  • Experience designing prompts, schemas, tool or function calls, workflow contracts, and validation logic.
  • Familiarity with AI tracing, monitoring, evaluation, prompt testing, quality metrics, and debugging tools.
  • Understanding of enterprise data security, access control, privacy, responsible AI, auditability, and safe handling of sensitive data.
  • Ability to translate business requirements into technical tasks and communicate AI tradeoffs clearly.
  • Preferred familiarity with Model Context Protocol, shared AI platform components, multimodal AI systems, responsible-AI defenses, data and event platforms, and commerce or trust-domain applications.

Benefits

  • Medical, dental, and vision coverage.
  • Matching 401(k), paid time off, and wellness program.
  • Employee discounts for Sony products.
  • Potential eligibility for a bonus package.
  • Base pay range of $150,000-$225,000 USD.
  • Work policy may vary according to Sony Interactive Entertainment’s hybrid working policy.
  • Employment requires background checks at the offer stage.

Tech Stack

Amazon DynamoDBApache AirflowApache FlinkApache KafkaApache SparkAWSDatadogdbtJavaPythonRedisSplunk
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