Applied AI Engineer
Jobright.ai · United States
- Hybrid
- Full-time
- $215,000 / year
- United States
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Job highlights
- Develop and deploy AI workflows and automation pipelines.
- Build and maintain production-ready services and APIs.
- Integrate state-of-the-art LLMs into production use cases.
- Collaborate on end-to-end AI-powered features.
- Work in a fast-paced startup environment.
About the role
Applied AI Engineer
This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams.
Hiring Company: Qualified Health
Qualified Health is a healthcare-native, enterprise AI platform that helps health systems deploy safe and scalable AI.
Role Responsibilities
- Develop and deploy agentic workflows and automation pipelines (approx. 60% of role).
- Build and maintain production-ready services, REST APIs, and integrations (approx. 30%).
- Ship production solutions in days, not months, emphasizing scrappiness and speed.
- Collaborate across product, engineering, and design to deliver end-to-end AI-powered features.
- Evaluate and integrate state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) into production use cases.
- Contribute to building a scalable workflow infrastructure that will support 100+ workflows.
Qualifications
Required
- Strong software engineering foundation (Python required; solid coding practices).
- Experience building AI-powered applications in the past 1–2 years using ChatGPT, Claude, Anthropic, or Mistral.
- Hands-on experience with REST API development and deploying services into cloud environments (GCP preferred).
- Clear understanding of MLOps, model deployment, or workflow automation in production systems.
Preferred
- Bachelor's degree + 4 years OR Master's degree + 2 years in Computer Science, Engineering, or related field.
- Background in software engineering → ML path.
- Experience with agentic workflows or adjacent skills such as prompt tuning, eval pipelines, or automation frameworks.
- Startup experience: demonstrated scrappiness, speed, and bias toward shipping.
- Exposure to both startup agility and big tech engineering rigor is ideal.
- Strong communication skills and ability to collaborate in fast-paced, ambiguous environments.
How can I join Jobright TNT:
If this is your first time applying to a Jobright TNT role, the process works as follows:
- Apply to your first Jobright TNT role.
- We review your background to determine if you meet the TNT quality bar.
- If qualified, your application is directly recommended to the employer.
- Once accepted into TNT, you may be invited to apply for other exclusive TNT-only roles or invited to private, invite-only hiring events with top startups.
You will be notified of your TNT selection result.
PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.
Key skills/competency
- Applied AI Engineer
- Agentic Workflows
- Automation Pipelines
- REST API Development
- Production Services
- LLM Integration
- MLOps
- Cloud Deployment
- Python
- Startup Experience
Skills & topics
- Applied AI Engineer
- AI Engineer
- Machine Learning Engineer
- Python Developer
- LLM Engineer
- Prompt Engineering
- Workflow Automation
- MLOps Engineer
- Cloud Engineer
- Software Engineer
How to get hired
- Apply to the Jobright TNT: Submit your application to initiate the screening process for this exclusive network.
- Meet the Quality Bar: Ensure your background demonstrates the high-signal qualifications required by Jobright TNT.
- Get Recommended: If qualified, your profile will be directly recommended to the hiring company, Qualified Health.
- Ace the Interview: Prepare to showcase your Python, AI application development, and cloud deployment skills.
- Highlight Startup Agility: Emphasize your scrappiness, speed, and bias for shipping in your resume and interviews.
Technical preparation
Master Python for robust coding practices.,Build AI apps with ChatGPT, Claude, Anthropic, Mistral.,Develop and deploy REST APIs in cloud environments.,Understand MLOps and workflow automation concepts.
Behavioral questions
Demonstrate scrappiness and speed in projects.,Showcase collaboration with cross-functional teams.,Explain how you handle ambiguous environments.,Describe your experience in fast-paced settings.
Frequently asked questions
- What is Jobright TNT and how does it differ from a regular job application for the Applied AI Engineer role at Qualified Health?
- Jobright TNT is a private hiring network for top AI talent. Unlike standard applications, candidates invited to TNT are pre-vetted and directly recommended to hiring teams at companies like Qualified Health, leading to a faster and more prioritized hiring process for the Applied AI Engineer position.
- What are the primary responsibilities of an Applied AI Engineer at Qualified Health through Jobright TNT?
- As an Applied AI Engineer at Qualified Health, your core responsibilities will include developing and deploying agentic workflows and automation pipelines, building and maintaining production services and REST APIs, and integrating advanced LLMs into practical AI applications.
- What specific AI technologies and LLMs are emphasized for the Applied AI Engineer role?
- The role requires experience with AI-powered applications using models like ChatGPT, Claude, Anthropic, or Mistral. You will also be evaluating and integrating state-of-the-art LLMs into production use cases.
- What level of software engineering and MLOps knowledge is expected for this Applied AI Engineer position?
- A strong software engineering foundation, particularly in Python, is required. Additionally, a clear understanding of MLOps, model deployment, and workflow automation in production systems is crucial for success in this role.
- How does startup experience benefit an applicant for the Applied AI Engineer role at Qualified Health?
- Startup experience is highly valued as it demonstrates scrappiness, speed, and a bias toward shipping solutions quickly. For this Applied AI Engineer role, this means being able to deliver production solutions in days, not months, and collaborating effectively in fast-paced environments.
- What is the typical educational background for an Applied AI Engineer at Qualified Health?
- While not strictly required, preferred qualifications include a Bachelor's degree with 4+ years of experience or a Master's degree with 2+ years of experience in Computer Science, Engineering, or a related field, particularly with a background progressing from software engineering to ML.
- What cloud environments are preferred for the Applied AI Engineer role?
- Hands-on experience with deploying services into cloud environments is essential. Google Cloud Platform (GCP) is preferred for this Applied AI Engineer position at Qualified Health.
- How does Jobright TNT ensure the authenticity and directness of the job postings like this Applied AI Engineer role?
- Jobright TNT emphasizes that all roles are 100% real and directly hired by their AI startup partners. This means your application goes directly to the hiring team, offering priority review and higher response rates.