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Software Engineer, AI

Job in Savannah, Chatham County, Georgia, 31441, USA
Listing for: B Capital
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, AI

About the Role

We are seeking a Staff Software Engineer to serve as the technical lead of the AI Platform team. This is not a heads‑down IC role ‑ you will be the technical pillar of the team, owning architecture decisions, driving technical strategy, and raising the quality bar for everyone around you. You'll work hands‑on in our Type Script‑based AI platform built on Cloudflare Workers while simultaneously multiplying the output and growth of the engineers on your team.

The right person has strong opinions, loosely held ‑ informed by deep experience, not by pasting LLM output into a design doc. You have a track record of building and shipping agentic AI systems in production, and you know how to direct AI‑assisted development toward high‑quality outcomes rather than accepting whatever comes out of the model.

Our AI platform builds intelligent, LLM‑driven features such as conversational agents, automated workflows, and AI‑powered decision support that are deeply integrated across Stord’s product suite.

What You’ll Do Technical Leadership & Strategy
  • Own the technical vision and architecture of Stord's AI platform, making decisive design choices and communicating the "why" to stakeholders at all levels

  • Drive technical strategy in partnership with the Sr Engineering Manager and Sr Product Manager, translating product goals into sound engineering plans

  • Evaluate build‑vs‑buy decisions, new tools, and architectural patterns with a pragmatic, production‑first mindset

  • Establish and enforce technical quality standards through design reviews, code reviews, and architectural guidance

  • Show up — be present and accountable in critical ceremonies including design reviews, go/no‑go releases, sprint planning, and cross‑team syncs

Hands‑On Engineering
  • Design and build core components of our AI platform: agent orchestration, tool systems, prompt management, and integration APIs

  • Work daily in our Type Script stack:
    Hono on Cloudflare Workers, Durable Objects for stateful agents, D1/Drizzle for persistence, and the AI SDK (Anthropic Claude) for model interaction

  • Build robust, scope‑aware tool systems that safely expose platform capabilities (orders, inventory, knowledge base) to AI agents

  • Design fault‑tolerant integrations with downstream services, including Elixir/Phoenix APIs, and ensure graceful degradation

  • Integrate ML model outputs via API layers as the team's needs evolve, without requiring deep data science expertise

Team Multiplier
  • Be the engineer other engineers go to — cultivate trust and influence with senior and mid‑level engineers through consistent technical excellence and availability

  • Mentor engineers at all levels, with particular emphasis on growing senior engineers into more autonomous technical decision‑makers

  • Model and teach directed agentic development practices: how to use AI coding tools effectively, maintain a strong independent technical POV, and produce high‑quality results rather than accepting raw model output uncritically

  • Create leverage through reusable abstractions, clear documentation of architectural decisions, and developer tooling that makes the rest of the team faster

  • Proactively identify technical risks and opportunities — don't wait to be assigned a ticket

Cross‑Functional Collaboration
  • Partner with Product Management to shape the AI product roadmap, providing technical perspective on feasibility, sequencing, and trade‑offs

  • Work with the Group Principal Engineer to align AI platform architecture with broader engineering strategy

  • Collaborate with Data Scientists and ML Engineers to understand model requirements and design clean integration boundaries

  • Support other product engineering teams in adopting AI capabilities within their domains

What You’ll Need Required Technical Skills
  • Type Script (3+ years in production) — You write idiomatic, well‑structured Type Script and are comfortable owning a large Type Script codebase. This is the primary language of the AI platform.

  • Distributed Systems & Edge Computing — Experience designing stateful systems at the edge. Cloudflare Workers, Durable Objects, or similar edge runtime experience is strongly preferred.

  • AI/LLM Application Development — You have built and…

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