AI Engineer
- Source: LinkedIn
- MeeBoss
- On-site
- New York City
- Full-Time
- Mid level
Job Description
About the job
MeeBoss is sharing this active opportunity on behalf of the hiring company. Crooter, an executive search partner for high-growth, venture-backed software companies, is seeking a highly technical AI Engineer to build and ship production-grade AI products powered by Large Language Models (LLMs).
This role involves owning AI features from concept to deployment, designing intelligent agent workflows, and building robust evaluation pipelines to directly impact customers.
Job title
AI Engineer
Company
MeeBoss
Location
New York, NY (On-site)
Compensation
$200,000–$250,000 Base + Equity + Benefits
What you will do
- Design, build, and deploy production-grade AI agents using modern LLM frameworks.
- Own AI features end-to-end, from architecture and prototyping through production deployment and iteration.
- Build multi-agent workflows with planning, orchestration, memory, and tool integrations.
- Develop scalable Retrieval-Augmented Generation (RAG) systems using vector databases and embeddings.
- Implement LLM evaluation frameworks to measure quality, accuracy, safety, and reliability.
- Collaborate closely with product and engineering teams to rapidly ship customer-facing AI capabilities.
- Optimize latency, reliability, observability, and cost of production AI systems.
- Continuously improve AI products through experimentation, monitoring, and user feedback.
What we are looking for
- 3–8 years of professional software engineering experience.
- Strong production experience with Python.
- Experience building and deploying production LLM applications.
- Hands-on experience with LangGraph or similar AI orchestration frameworks.
- Experience implementing multi-agent workflows, tool calling, structured outputs, agent orchestration, and context/memory management.
- Experience building production RAG systems using vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS, ChromaDB).
- Experience with FastAPI, REST APIs, Docker, and cloud platforms (AWS/GCP/Azure).
- Strong understanding of scalable backend systems and production deployment.
- Bachelor’s degree in Computer Science or a related technical field.
Benefits
- Equity
- Benefits package
About MeeBoss
MeeBoss helps job seekers and hiring teams make direct, relevant career connections.
Skills
- Python
- LangGraph
- FAISS
- FastAPI
- Docker
- amazon-web-services
- google-cloud-platform
- microsoft-azure
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