LLM Platform Engineer
225000 - 320000 USD per year
Company:Whatnot
Location:New York, Seattle, Los Angeles, San Francisco
Languages:English
Seniority level:Middle, 4+ years
Experience:4+ years
Skills:
AWSPostgreSQLPythonArtificial IntelligenceDynamoDBElasticSearchMachine LearningApache KafkaGrafanaRedisCI/CDSoftware Engineering
Requirements:
- 4+ years of professional experience developing machine learning systems and algorithms.
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or related technical field, or equivalent work experience.
- 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads.
- 1+ years of professional experience developing software in Python.
- Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
- Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana.
- Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink.
- Professionalism around collaborating in a remote working environment.
- Exceptional documentation and communication skills.
Responsibilities:
- Own the infrastructure powering LLMs across critical business surfaces.
- Create robust and scalable LLM evaluation frameworks.
- Deploy RAG systems and MCP servers.
- Design efficient human-in-the-loop feedback pipelines.
- Bridge the gap between research and production.
- Take on new technical challenges as AI scales across Whatnot’s ecosystem.
