Senior Software Engineer

Ayr Energy; Mountain View (CA); On-site; USD 150,000 - 240,000; Full time

Benefits offered by this job

Collaborative work environment

Challenging problems to solve

Medical, dental, and vision

Equity package

Job summary

Ayr Energy in Mountain View is seeking software engineers to build platforms that scale indefinitely and connect the organization. You will work on distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products for internal users.

Our team focuses on reliable, observable software with guardrails for AI/ML workflows, data ingestion, and secure indexing. You will collaborate across teams to remove bottlenecks and ensure features are delivered with high

Qualifications

• Bachelor's degree in computer science, math, sciences or related field.
• Hands-on experience with multi-agent architectures, dynamic model routing, or guardrail/safety systems for LLM-based agents.
• Experience with enterprise integrations (Salesforce, Jira, Slack, or internal APIs).
• Experience with distributed systems, cloud-native apps, or full-stack development spanning frontend, REST APIs, and backend.
• Familiarity with observability tools (Datadog, CloudWatch) and event-driven or streaming architectures (Kafka).
• Proven ability to design, build, and ship production-ready software, ideally around AI/ML systems (LLM orchestration, RAG pipelines, tool-calling, agent workflows).
• Experience with cloud infrastructure and containerized deployments (Docker/Kubernetes).
• Strong understanding of distributed systems, databases, and system design; first-principles problem solving.

Responsibilities

• Build large-scale, fault-tolerant distributed systems and data pipelines.
• Architect secure integrations connecting internal systems with third-party platforms to automate workflows.
• Integrate and orchestrate LLMs into product workflows with guardrails and context management.
• Implement data ingestion pipelines to retrieve data and build secure indexes/search.
• Design APIs and user interfaces powering internal search and enterprise apps.
• Instrument systems for observability and drive reliability improvements.
• Collaborate with teams to remove bottlenecks and deliver high-quality features.
• Review peers' code focusing on interface design, quality, and testing strategy.

Skills

Python

TypeScript/JavaScript

Multi-agent architectures

Guardrail/safety systems for LLMs

Distributed systems

First-principles problem solving

Education

Bachelor's degree in computer science or related field

Tools

Datadog

CloudWatch

Kafka

Docker

Kubernetes

Salesforce

Jira

Slack

Job description

Ayr designs and manufactures critical power grid equipment including power transformers, distribution transformers, special-purpose transformers, high-voltage circuit breakers, and medium-voltage switchgear. They serve markets such as renewables, data centers, utilities, oil & gas, and industrial sectors. They position themselves as partners in power projects, offering lifecycle support and working to deliver faster than average industry timelines.

Website: https://ayr.energy

About The Role

Ayr Energy is looking for software engineers who can help build software platforms that scale indefinitely and connect the entire organization together. You'll work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that serve the user and not the other way around. Our integrated model of combining advanced engineering, tight supply-chain control, and exceptional service empowers you to build resilient solutions that restore reliability and control to the operators who keep the world energized.

What You'll Do

• Build large-scale, fault-tolerant distributed systems and data pipelines, ensuring reliability, fault tolerance, and performance at scale
• Architect secure integrations connecting internal systems with third-party platforms to automate workflows
• Integrate and orchestrate LLMs into product workflows, with attention to reliability, guardrails, and context management
• Implement data ingestion pipelines to retrieve data from enterprise sources and build secure indexes/search over that data
• Design APIs and user interfaces that power internal search and other enterprise applications
• Instrument systems for observability (latency, error rates, throughput) and drive continuous reliability improvements
• Work closely with teams to understand their bottlenecks and ensure features are delivered effectively with high quality
• Strong proficiency in Python and/or TypeScript/JavaScript
• Perform thorough code reviews for peers, covering interface design, code quality, and testing strategy

Qualifications

• Bachelor's degree in computer science, Math, Sciences, or a related degree
• Hands-on experience with multi-agent architectures, dynamic model routing, or guardrail/safety systems for LLM-based agents
• Experience with enterprise integrations (e.g., Salesforce, Jira, Slack, or internal system APIs)
• Experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.
• Familiarity with observability tooling (Datadog, CloudWatch) and event-driven or streaming architectures (Kafka)
• Proven ability to design, build, and ship production-ready software, ideally around AI/ML systems (LLM orchestration, RAG pipelines, tool-calling, agent workflows)
• Experience with cloud infrastructure and containerized deployments (Docker/Kubernetes)
• Solid understanding of distributed systems, databases, and system design fundamentals
• Strong algorithmic design skills and first-principles problem-solving

What We Offer

• Collaborative work environment
• Challenging problems to solve
• Competitive benefits including medical, dental, and vision
• Equity package