VP, AI Engineering
1Password
Internal AI Engineer, Associate
Huron
full-time
Posted on:
Location Type: Remote
Location: Remote • Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $100,000 - $125,000 per year
Job Level
JuniorMid-Level
Tech Stack
AWSAzureCloudDockerFlaskPythonPyTorchScikit-LearnTensorflow
About the role
- Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
- Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
- Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
- Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
- Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
- Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
- Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
- Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities
Requirements
- Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
- Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
- Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
- Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
- Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
- Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
- Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
- Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
- Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
- Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
- Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Benefits
- Medical, dental and vision coverage
- 401(k) plan with a generous employer match
- Employee stock purchase plan
- Generous Paid Time Off policy
- Paid parental leave and adoption assistance
- Free annual health screenings and coaching
- Wellness Program
- Ongoing programs recognizing major events in employees' lives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI developmentML developmentgenerative AI techniquesprompt engineeringfine-tuningembeddingsAPI developmentdata pipelinesMLOpsmodel monitoring
Soft skills
collaborationcommunicationproject managementcross-functional teamwork
Certifications
cloud certifications in AI/ML servicesBachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science
