Senior Software Engineer

Ayr Energy

26d

About The Position

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.

Requirements

Strong proficiency in Python and/or TypeScript/JavaScript
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

Responsibilities

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
Perform thorough code reviews for peers, covering interface design, code quality, and testing strategy