About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

Role Overview

Confidential Client (Technology, Information and Internet) is hiring a Software Engineer, Agent Delivery to deploy production AI agents and integrations inside large, mission-critical supply-chain environments. This is a full-time, onsite role based in San Francisco, CA (San Francisco HQ — 5 days/week) with ~25% travel to customer sites. You will work at the intersection of engineering, product, and customer operations to turn ambiguous operational processes into reliable, production-grade agent workflows.

---

What You’ll Do

• Lead end-to-end customer deployments of AI agents: discovery, design, implementation, launch, and iteration.
• Design and build production-grade agent behaviors, workflows, integrations, and monitoring for reliability at scale.
• Integrate agents with customers’ systems (APIs, data stores, auth systems) and collaborate with customer engineering and operations teams.
• Debug and triage complex production issues across distributed, event-driven systems.
• Translate messy or undocumented operational processes into robust technical solutions and reusable product patterns.
• Capture learnings from deployments and feed them back into product and platform improvements to enable repeatable, scalable delivery.
• Own production outcomes — monitor agent performance, resolve incidents, and improve system observability and reliability.
• Build strong relationships across customer organizations (operators, engineers, and execs) to ensure delivered solutions solve the underlying business problems.

---

Minimum Qualifications

• 1–3 years building and operating production systems in high-growth startups or similarly fast-paced environments.
• Strong experience with APIs, integrations, authentication systems, and event-driven architectures.
• Demonstrated ability to debug complex production systems and drive issues to resolution.
• Comfortable working in ambiguous, partially documented environments and iterating quickly as requirements change.
• Strong written and verbal communication skills; ability to build trust with technical and non-technical stakeholders.
• Customer-facing experience or the ability to work on-site with customers is strongly preferred.

---

Nice-to-Have (but not required)

• Hands-on experience with LLMs or generative AI in production environments.
• Prior work automating operational workflows (scheduling, data entry, routing, or logistics).
• Experience designing for security and reliability in customer-facing integrations.

---

Tech Stack

• Backend: Node.js + TypeScript (Encore.dev), event-driven design with message passing and queues; hosted on GCP
• Database: PostgreSQL
• LLMs & ML infra: OpenAI, Anthropic, Google; fine-tuning and Vertex AI
• Browser automation: Playwright
• Frontend: Next.js + React + TypeScript (Vercel)
• Observability: Datadog (logging & metrics)

---

Compensation & Benefits

• Estimated base salary: $135,000–$180,000 (final compensation determined by experience, qualifications, and location).
• Competitive equity, comprehensive health (medical, vision, dental), 401(k) option, paid parental leave, life & disability insurance.
• Additional perks: flexible paid time off, learning & development stipend, commuter benefits for Bay Area employees, remote office stipend, catered lunches, monthly socials, and company offsites.

---

Workplace & Travel

• Worksite: Onsite — San Francisco, CA (5 days/week at HQ). Candidates must be able to work from the San Francisco office.
• Travel: Approximately ~25% travel to customer sites as needed.

---

What to Expect from Careertakes (as your recruiting partner)

• Careertakes will manage initial outreach and coordination for this role on behalf of our client.
• Applicants may receive consideration for additional matched roles on the Careertakes platform.
• Careertakes will respect candidate privacy and provide reasonable accommodations during the process when requested.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.