RESPONSIBILITIES
- Build and integrate AI and LLM based features into production systems
- Develop retrieval pipelines, embedding workflows, and model inference services
- Work with structured and unstructured data to develop features, pipelines, and evaluations
- Collaborate with ML engineers to deploy and optimize models for performance and reliability
- Partner with Product and Operations to translate real world workflows into AI enabled tooling
- Implement monitoring, observability, and evaluation frameworks for AI features
- Maintain documentation for data flows, model integrations, and system behavior
QUALIFICATIONS
- 3 plus years of experience in applied AI, machine learning, or software engineering
- Proficiency with Python or TypeScript and modern backend frameworks
- Experience with LLMs, embedding models, or retrieval augmented generation
- Familiarity with vector databases, search pipelines, and inference optimization
- Understanding of cloud infrastructure, containerization, and deployment workflows
- Experience working with text heavy or unstructured datasets
- Bonus familiarity with prompt engineering, evaluation tooling, or safety systems
WHO YOU ARE
- An applied engineer focused on delivering practical, reliable AI features
- Curious, analytical, and comfortable experimenting to find durable solutions
Collaborative and communicative, with a strong focus on accuracy and system robustness
Equal Opportunity Statement
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
