Staff Software Engineer-AI Products

Nextdeavor•Irvine, CA

1d•Remote

About The Position

Become a Key Player as a Staff Software Engineer-AI Products. You will shape the technical direction and architecture for an enterprise-grade AI platform, driving scalable, secure AI services used by product and engineering stakeholders. You’ll report to the Director of Platform Services and work fully Remote as part of a Platform Services sub-team, partnering closely with application engineering, cloud infrastructure, applied AI, and product.

Requirements

8+ years of professional software engineering experience with demonstrated cross-team architectural influence.
Proven end-to-end delivery of AI-powered features from concept to production.
Strong proficiency in Python and RESTful API development (e.g., FastAPI, Django).
Experience with full-stack development (React, TypeScript) and integrations with third-party LLM/AI APIs.
Familiarity with AWS services (IAM, networking, managed services, storage) and cloud-native architecture.
Solid foundation in distributed systems, API design, CI/CD, Docker, version control, and observability tools.
Experience with GenAI patterns (RAG pipelines, prompt management, LLM evaluation, agent frameworks) and vector databases/semantic search.
Exposure to model serving, MLOps/LLMOps practices, IaC (Terraform/Pulumi), and Kubernetes.
Strong communication skills for technical and non-technical stakeholders and experience authoring RFCs/ADRs.
Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.

Nice To Haves

Experience building in financial services, fintech, or other regulated environments.
Working familiarity with AI governance and compliance frameworks relevant to finance (model risk, fair lending, SOC 2).

Responsibilities

Own the reference architecture for the AI platform, including API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving.
Lead build-vs-buy evaluations, due diligence, and integration planning for AI components.
Design and implement foundational data pipelines and infrastructure to support reliable, scalable AI services with security and compliance in mind.
Contribute hands-on backend development in Python and RESTful API design; participate in full-stack delivery using React/TypeScript when needed.
Build and maintain tooling, SDKs, platform APIs, and evaluation frameworks to enable reproducible model testing and safe AI adoption by product teams.
Establish observability and performance tracking for AI services and apply secure-by-default principles (encryption, least privilege, audit logging).
Mentor and sponsor other engineers, lead architecture reviews, and drive engineering best practices and documentation.