Senior Software Engineer - AI & Agentic Architecture

19 days ago

Aliso Viejo, CA, USASenior

H1B sponsor

Base Salary

$177k - $266k/yr

Responsibilities

Design, build, and operate production-quality agentic applications with multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks.
Design MCP tool and resource interfaces and maintain MCP server integrations for safe access to backend systems, enterprise data, and engineering workflows.
Engineer prompts, structured outputs, validation and retry loops, context-management systems, escalation patterns, and evaluation frameworks.
Configure and extend Codex and Claude Code and integrate AI-assisted code review, test generation, and pull-request feedback into CI/CD workflows.
Discover engineering-team needs, prototype AI capabilities with users, and deliver successful prototypes as secure, observable, maintainable production systems.
Own implementation, testing, deployment, monitoring, and iteration across the full lifecycle of agentic systems.
Provide hands-on technical leadership through architecture discussions, code reviews, troubleshooting, mentoring, standards, reusable patterns, and documentation.

6+ years of professional software engineering experience, including significant hands-on experience building and operating AI/LLM-powered or agentic applications.
Strong programming skills in one or more of Java, Python, Go, Rust, or C++, with solid API design, testing, debugging, code review, and maintainable-code fundamentals.
Production-grade experience with agentic SDKs or harnesses, MCP, LLMs, tool use, orchestration, RAG, context management, structured output, and evaluation.
Experience designing MCP tool and resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems.
Experience integrating AI into CI/CD and developer workflows.
Ability to evaluate tradeoffs and make pragmatic engineering decisions in ambiguous problem spaces.
Strong written and verbal communication skills, including mentoring and leading through influence.
Bachelor’s degree or equivalent.
Preferred qualifications include expertise with agentic architecture, MCP integration, Codex or Claude Code configuration, prompt engineering, and context management.
Preferred experience includes multi-agent research or customer-support systems, structured data extraction pipelines, AWS, Docker, Kubernetes, Terraform, GitOps, vector databases, embeddings, AI evaluation frameworks, and open-source contributions involving AI, agentic systems, or developer tooling.

Medical, dental, and vision coverage.
Matching 401(k), paid time off, wellness program, and employee discounts on Sony products.
May be eligible for a bonus package.
Hybrid working policy applies, and base pay varies by geographic location and job-related factors.
Background checks are conducted at the offer stage.