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Senior Software Engineer, AI
AI Infrastructure
About the Role
About the Role
You will join a cross-functional team developing AI agents that transform how operations work at scale. The platform reads operational knowledge, reasons contextually, and executes end-to-end tasks. The foundational team currently has fewer than five engineers working on LLM-powered agent design, backend architecture, tool development, and knowledge infrastructure.
Responsibilities
- Design, build, and own core agent platform components from orchestration to tool integrations.
- Build the capabilities layer including APIs, data access patterns, and service integrations.
- Architect knowledge and memory infrastructure for agents to retrieve data across systems.
- Design a trust and safety framework with audit trails, human controls, and AI guardrails.
- Contribute to agent evaluation and testing infrastructure.
- Partner with Operations to understand workflows and translate process knowledge into capabilities.
- Mentor the growing engineering team.
About the Candidate
- Comfortable in fast-paced environments; scrappy, resourceful approach to identifying solutions.
- Pragmatic balance: optimizes for durability when needed; iterates quickly otherwise.
- Product-minded: understands the "why" behind builds and questions product solutions.
- Strong ownership: proactive gap identification; drives initiatives without explicit instruction.
- Backend fundamentals: confidently designs and operates production systems.
- AI curiosity: motivated to build practical products using LLMs and agent systems.
Qualifications
- 5+ years backend engineering building and operating production systems.
- Hands-on LLM and AI agent experience (orchestration, RAG, tool calling, or similar).
- Strong API design and system integration skills.
- Product mindset questioning requirements and contributing to decisions.
- Proven ownership of complex projects in ambiguous, early-stage environments.
Technologies Used
Golang, Ruby on Rails, Javascript, Java, C#, Python, VueJS, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog.
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