Senior AI Systems Engineer & Platform Architect (Remote)

UtilityAPI; Oakland (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible remote schedule

11 paid company holidays

Unlimited PTO

401(k) with match

12 weeks of paid parental leave

$600 Home Office Setup Stipend

Job summary

UtilityAPI is seeking a Senior or Staff Engineer with AI experience to lead the architecture and hands-on delivery of an AI-native platform for utility data. You’ll define architecture, mentor engineers, and drive best practices across data, AI, and cloud-native services.

Join a small, data-heavy team at a time of rapid growth, shaping how AI is embedded into our product lifecycle while ensuring reliability, security, and cost efficiency in a regulated energy domain.

Qualifications

• 5+ years of professional software engineering experience.
• 3+ years working with core database systems, large-scale distributed infrastructure, AI-native systems, or data-intensive platforms.
• Strong coding and system-level design skills in Python.
• Hands-on experience taking AI/ML or LLM-powered systems from prototype to reliable production, including experience with evaluation, data pipelines, retrieval, observability, or model integration.
• Experience designing or operating data-intensive systems that support AI/ML workloads, including structured, unstructured, or multimodal data.

Responsibilities

• Own the technical direction for how we adopt AI across the product and engineering lifecycle.
• Identify, scope, and ship AI/ML capabilities that solve meaningful product and platform problems.
• Train, evaluate, and deploy models on our own large-scale structured data.
• Build agentic AI systems on managed platforms like AWS Bedrock with experience in embedding pipelines, vector retrieval, RAG infrastructure, and semantic search.
• Establish engineering patterns for AI systems, including evaluation, testing, observability, monitoring, and data-quality frameworks.
• Evaluate and adopt AI-assisted development tools and agentic workflows to increase engineering efficacy.
• Mentor other engineers and champion AI literacy across the broader team.

Skills

Python

Distributed systems

AI/ML systems

Mentorship

Cloud platforms

Tools

AWS

PostgreSQL

MySQL

Django

RESTful APIs

Job description

UtilityAPI is seeking a Senior or Staff Engineer with AI experience to lead the architecture and hands-on delivery of an AI-native platform for utility data. You’ll define architecture, mentor engineers, and drive best practices across data, AI, and cloud-native services.

Join a small, data-heavy team at a time of rapid growth, shaping how AI is embedded into our product lifecycle while ensuring reliability, security, and cost efficiency in a regulated energy domain.