Senior AI Engineer
New
A
Acquisition.comAI / Software
Full-time, remote (US-based), Work hours aligned with local timezone or Pacific timezone (8a-5p M-F)Full-TimeSenior
Salary170,000 - 200,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years shipping production software systems; 2+ years building production RAG systems
- Required Skills
- PythonTypeScriptDistributed Systems
Requirements
- 7+ years shipping production software systems (distributed backends, APIs, deployment pipelines, monitoring)
- 2+ years building production RAG systems using vector databases (Pinecone, Qdrant, FAISS, or Weaviate)
- Built and deployed AI agents or multi-step LLM workflows in production
- Built or contributed to an evaluation framework for an LLM-based product
- Reduced LLM API costs in production through model routing, caching, token management, or architectural improvements
- Experience working across multiple LLM providers (OpenAI, Anthropic, or equivalent)
- Proficiency in both TypeScript and Python
Responsibilities
- Design, build, and deploy production-grade AI agents and end-to-end agentic workflows that solve real business problems
- Integrate LLMs with internal systems, APIs, and data sources, ensuring reliability, performance, and clean abstractions
- Collaborate with product and engineering teams to prioritize, ship, and iterate on AI features quickly
- Own and improve RAG pipelines including chunking strategy, embedding model selection, hybrid retrieval, and reranking
- Build and maintain an evaluation framework, including golden datasets, automated quality scoring, retrieval metrics, latency benchmarks, and regression detection
- Optimize model routing and tiering to improve unit economics while maintaining output quality
- Instrument the AI layer for observability, including cost-per-request, token usage, quality signals, and anomaly detection
View Full Description & ApplyYou'll be redirected to the employer's site
