Software Engineer, AI Systems
Core
Design and operate production-grade AI and LLM systems for enterprise safety applications, focusing on multi-step reasoning pipelines, agent orchestration, and retrieval strategies.
Role type
Senior IC AI Systems Engineer
Builds
Production LLM pipelines, agent orchestration systems, retrieval strategies, and AI operations capabilities
Domain
Enterprise Safety / AI Systems / LLMs
Deliverable
production ML models
Required skills
LLM pipeline orchestration, agent workflow design, retrieval system design, LLM evaluation, production AI operations, graph database modeling, Python development, multi-model provider evaluation
Preferred skills
Neo4j and Cypher, graph schema evolution, enterprise AI security, Azure AI Search, hybrid search technologies, B2B enterprise SaaS experience (via careerplan.io/jobs/6f2547f9-cb05-4436-9092-e164fb2ed911-software-engineer-ai-systems-at-jobgether)
Technologies
LangGraph, LangChain, Neo4j, Cypher, FastAPI, Azure AI Search, Pinecone, MongoDB Atlas, pgvector, Elasticsearch
Responsibilities
Build and operate production LLM pipelines coordinating model calls, tool calls, graph queries, and retrieval; Extend agent orchestration systems for incident analysis; Design grounding and retrieval strategies using graph traversal and vector search; Develop evaluation datasets, scoring systems, and human-review loops; Implement production AI operations capabilities including tracing and monitoring; Identify and address hallucinations and model drift; Evaluate and select models across providers based on quality and cost; Partner with product teams to shape technical direction; Contribute to enterprise AI security practices
Seniority
Senior, hands-on IC
