Software Engineering SMTS / LMTS - AI Core (REMOTE)

What you'll do

• Lead retrieval and platform initiatives from design through launch, monitoring, and iteration, including RAG, hybrid search, and agent orchestration.
• Build answer-quality evaluation, observability, and rollout practices; set and track platform performance, scaling, and reliability standards.
• Provide technical leadership through architecture decisions, cross-functional delivery, mentoring, code review, and incident response.

What they ask for

• Production AI or backend systems experience, recently focused on LLM-powered applications; expertise in RAG and hybrid-search retrieval.
• Expertise building developer tooling for production agents and owning platform initiatives through design and adoption.
• Demonstrated technical leadership and delivery of complex projects with stakeholders, dependencies, or phases.
• Strong backend engineering skills in a listed language, plus SQL and RDBMS experience; hands-on AI application lifecycle experience.

Nice to have

• pgvector or other vector indexes; content ingestion, transcript processing, evaluation suites, or voice/real-time agents.
• Enterprise SaaS, B2B marketing or sales technology, Salesforce/CRM integrations, or startup experience.

Pay

$172,500 - $260,100 annually (base salary); $207,800 - $285,800 annually (base salary)

Tools

RAG, Ruby on Rails, Python, JavaScript, Go, SQL, PostgreSQL, pgvector

AI focus

Builds LLM-powered retrieval and agent infrastructure, including RAG and hybrid search, production-agent tooling, answer-quality evaluation, observability, and safe model and prompt changes. Uses coding agents for implementation, testing, refactoring, and documentation.