Lead Forward-Deployed AI Engineer

SB Energy; Redwood City (CA); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Medical benefits

401(k) with company match

Paid time off

Parental leave

Wellness programs

Hybrid work

Job summary

SB Energy is seeking a hands-on AI Engineer who builds reliable software for data center and energy infrastructure. You will partner with cross-functional teams, learn domain workflows, and deliver practical Codex-based solutions that scale across the organization.

Responsibilities include deploying Azure-powered systems, integrating APIs, and ensuring security, reliability, and cost efficiency while driving adoption and measurable improvements.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related technical field.

Responsibilities

• Use Codex to create reusable, personalized skills, plugins, and agents for teams and users.
• Connect approved systems, documents, and data through APIs and MCP tools with clear contracts and retrieval.
• Deploy Azure solutions with identity, access, secrets, and networking practices and monitor reliability and cost.
• Test representative tasks and failures; trace issues across code, data, model behavior, and integrations; fix root causes.
• Write, ship, and maintain applications, services, data workflows, and agent integrations and carry prototypes through deployment.

Skills

Python

TypeScript

Codex

Azure

APIs

Git

Education

Bachelor’s degree in Computer Science/Software Engineering/Information Systems

Master’s or PhD in CS/AI/Data Systems or related

Tools

Azure

Codex

MCP

APIs

Git

Job description

SB Energy is seeking a hands-on AI Engineer who builds reliable software for data center and energy infrastructure. You will partner with cross-functional teams, learn domain workflows, and deliver practical Codex-based solutions that scale across the organization.

Responsibilities include deploying Azure-powered systems, integrating APIs, and ensuring security, reliability, and cost efficiency while driving adoption and measurable improvements.