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# Senior/Staff Software Engineer, Agentic Platform

- **Company:** SWISS NYC, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Code Review, Customer Data Management, Software Design Documents, Distributed Systems, Operational Data Store, Software Deployment, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Build Management, AI Platforms, Invoking Functions
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_feef1514ee9b21e2c0ea5a7c3a5985ae

## About the Role

* 4+ years of software engineering experience, with ownership consistent with senior or staff level.
 * At least one year of recent, hands-on agentic systems experience, including production deployment.
 * Experience with LLM orchestration, tool or function calling, multi-step reasoning, retrieval and context engineering.
 * Strong judgment around LLM failure modes, evaluation, observability and reliability.
 * Experience transforming messy, heterogeneous data into inputs that models can use reliably.
 * A track record of designing and operating data-intensive distributed systems in B2B or enterprise environments.
 * The ability to make and explain architectural decisions, balance delivery speed with reliability, and mentor without formal authority.
 * Evidence of sustained ownership, including supporting and improving systems after launch.

Particularly Relevant Experience

 * Multi-agent systems and interoperability protocols such as MCP.
 * Enterprise AI platforms with demanding operational and reliability requirements.
 * Manufacturing, industrial or similarly complex operational data.

The team values direct feedback, low ego and accountability. This is a hands-on role with substantial technical ownership. Critical delivery periods may occasionally require weekend work, alongside respect for planned time off.

## Description

As a Senior or Staff Software Engineer, you will shape the architecture and delivery of the agent platform, spanning orchestration, retrieval, evaluation and observability.

You should bring hands-on experience deploying agentic systems to production, with clear insight into architectural trade-offs, unexpected failures and the changes needed to improve performance and reliability.

What You'll Do

 * Design and build agentic infrastructure spanning orchestration, tool use, memory, retrieval and guardrails.
 * Own systems that take heterogeneous customer data from ingestion through reasoning to actionable insights.
 * Establish evaluation frameworks grounded in expert-validated answers and measurable customer outcomes.
 * Build observability and testing practices that expose failures in non-deterministic systems.
 * Partner with Engineering and Product to shape the platform's technical direction.
 * Mentor engineers and raise standards through code reviews, design documents and hands-on technical guidance.