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Engineering6 days agoOn-site

DoubleVerify

Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox

pythonsqlkubernetesllmsembeddingsragvector storesagent orchestrationaiautomationdistributed systemssoftware engineeringdata engineering

Key details

Salary

$107K – $193K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

United States

Full job description

Rockerbox is seeking a Senior Software Engineer II specializing in AI Tooling and Interfaces. The role involves designing and building AI systems for automations and decisioning engines to drive business outcomes. Responsibilities include collaborating with cross-functional teams to identify AI opportunities, translating product requirements into AI solutions, building automations with LLMs and data, designing workflows and orchestration pipelines, and establishing AI data quality and safety practices. Candidates must have 6+ years of experience in software or data engineering or distributed systems, hands-on experience with LLM integration in production, proficiency in Python and SQL, experience with Kubernetes and container deployment, strong systems thinking, ability to work independently from ambiguity, and strong communication skills. Salary range is $107,000 to $193,000 plus bonus, equity, and benefits. Location: United States.

What you'll do

  • Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization
  • Translate product requirements into AI-driven solutions that directly impact the client experience
  • Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities
  • Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes
  • Design retrieval, orchestration, and memory layers that make AI agents smarter over time
  • Establish best practices for AI data quality, observability, and safety

Requirements

  • 6+ years of experience in software engineering, data engineering, or large-scale distributed systems
  • Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration)
  • Strong proficiency in Python and SQL
  • Experience with Kubernetes and container-based infrastructure and deployment
  • Ability to think in systems: storage, retrieval, metadata, reliability, latency, failure modes
  • Ability to work from ambiguity to execution
  • Strong communication skills to explain tradeoffs, scope decisions, and technical strategy clearly

Tech stack

PythonSQLKubernetesLLMsembeddingsRAGvector storesagent orchestration

Benefits

Bonus/commission (as applicable)EquityBenefits

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