Senior AI/ML Engineer - Cloud AI & LLM Pipelines

Cooley AI; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

HSA

Job summary

Cooley AI seeks a Senior AI/ML Engineer to design, deploy, and operate enterprise-grade AI/ML solutions across Azure, AWS, and hybrid platforms. The role emphasizes hands-on development, scalable pipelines, and secure, cost-efficient cloud services.

You will collaborate with engineering, data, and business teams to translate requirements into practical AI implementations, writing high-quality code and ensuring data privacy and governance across deployments.

Qualifications

• 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions).
• Hands-on experience developing AI/ML solutions on Azure and/or AWS.
• Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows.
• Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG).
• Knowledge of cloud security, governance, and data privacy principles as they relate to AI and ML systems.

Responsibilities

• Design, build, and maintain production-grade AI/ML solutions across cloud platforms.
• Implement end-to-end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring.
• Collaborate with engineering, data, and business teams to translate requirements into practical AI implementations.
• Write high-quality, scalable code for AI workloads and integrate with enterprise data platforms.

Skills

Python

LLM workflows

Data ingestion

Cloud integration

Security & privacy

Education

Bachelor’s degree in CS/Engineering

Tools

Azure

AWS

LangChain

LangSmith

Pydantic AI

Job description

Cooley AI seeks a Senior AI/ML Engineer to design, deploy, and operate enterprise-grade AI/ML solutions across Azure, AWS, and hybrid platforms. The role emphasizes hands-on development, scalable pipelines, and secure, cost-efficient cloud services.

You will collaborate with engineering, data, and business teams to translate requirements into practical AI implementations, writing high-quality code and ensuring data privacy and governance across deployments.