Software Engineer, AI Systems
Core
Design and operate production-grade LLM systems for enterprise applications, focusing on multi-step reasoning workflows, retrieval, and knowledge graphs to support safety-critical decision-making.
Role type
Senior IC AI Systems Engineer
Builds
Production LLM pipelines, agent orchestration workflows, grounding/retrieval systems, evaluation frameworks, and AI operations capabilities (via careerplan.io/jobs/442169d2-c306-48f5-9587-1d0b253ff850-software-engineer-ai-systems-at-jobgether)
Domain
Enterprise SaaS, AI/ML, Knowledge Graphs
Deliverable
production ML models
Required skills
Python, LLM engineering, multi-step agentic workflows, LLM evaluation, retrieval strategies, graph databases (Neo4j/Cypher), observability, model provider trade-offs
Preferred skills
Azure/AI Search, vector databases, enterprise AI security, B2B SaaS experience
Technologies
LangGraph, LangChain, Neo4j, Cypher, FastAPI, Azure, Pinecone, MongoDB Atlas, pgvector, Elasticsearch
Responsibilities
Build and deploy production LLM pipelines; Extend agent orchestration workflows; Design grounding and retrieval systems; Develop robust evaluation frameworks; Implement production AI operations capabilities; Identify and address production issues; Evaluate and select AI models; Partner on technical direction and roadmap; Contribute to secure enterprise AI practices
Seniority
Senior, hands-on IC
