Applied AI Engineer
Jobright.ai · United States
- Hybrid
- Full-time
- $250,000 / year
- United States
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Job highlights
- Develop AI workflows and automation pipelines.
- Build and maintain production services and APIs.
- Integrate state-of-the-art LLMs into use cases.
- Collaborate on end-to-end AI-powered features.
- Contribute to scalable workflow infrastructure.
About the role
Applied AI Engineer at Qualified Health
This role is part of the Jobright TNT, a private hiring network connecting top talent with leading AI startups. Qualified Health, a healthcare-native, enterprise AI platform, is seeking an Applied AI Engineer to help 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 rapidly, emphasizing scrappiness and speed.
- Collaborate with product, engineering, and design teams 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 scalable workflow infrastructure to support over 100 workflows.
Qualifications
Required
- Strong software engineering foundation with Python and solid coding practices.
- Experience building AI-powered applications in the past 1–2 years using LLMs (ChatGPT, Claude, Anthropic, or Mistral).
- Hands-on experience with REST API development and deploying services in 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 a related field.
- Background transitioning from software engineering to ML.
- Experience with agentic workflows or related skills like 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.
- Strong communication skills and ability to collaborate in fast-paced, ambiguous environments.
How to Join Jobright TNT
If this is your first time applying to a Jobright TNT role, the process involves:
- Applying to your first Jobright TNT role.
- Background review to determine if you meet the TNT quality bar.
- Direct recommendation to the employer if qualified.
- Potential invitation to apply for exclusive TNT-only roles or private hiring events upon acceptance into TNT.
You will be notified of your TNT selection result. All Jobright TNT roles are real, directly hired by AI startups, and offer priority review and higher response rates.
Key skills/competency
- Applied AI Engineer
- Agentic Workflows
- Automation Pipelines
- Production Services
- REST APIs
- LLM Integration
- MLOps
- Cloud Deployment
- Python Development
- Startup Agility
Skills & topics
- Applied AI Engineer
- AI
- Machine Learning
- Python
- LLM
- Agentic Workflows
- Automation
- Cloud
- GCP
- Software Engineering
- Developer
- Engineer
- Artificial Intelligence
- API
- MLOps
- Startup
How to get hired
- Apply to Jobright TNT: Submit your application to initiate the screening process for exclusive AI startup roles.
- Meet the Quality Bar: Ensure your background and experience align with the high standards required for TNT candidates.
- Direct Recommendation: Once qualified, your profile will be directly recommended to hiring teams at companies like Qualified Health.
- Highlight AI & Startup Skills: Emphasize your experience with LLMs, Python, MLOps, and your ability to work with scrappiness and speed.
- Showcase Production Experience: Detail your hands-on experience in building and deploying production-ready AI services and APIs.
Technical preparation
Master Python and SOLID coding practices.,Build a portfolio of AI/LLM applications.,Practice deploying services on GCP.,Familiarize with MLOps principles.
Behavioral questions
Describe a fast-paced project you completed.,How do you handle ambiguity in requirements?,Share an example of shipping quickly.,How do you collaborate with cross-functional teams?
Frequently asked questions
- What is Jobright TNT and how does it differ from a standard job application at Qualified Health?
- Jobright TNT is a private hiring network that directly connects high-caliber candidates with leading AI startups like Qualified Health. Unlike standard applications, TNT roles involve a rigorous background review, and if you qualify, your application is directly recommended to the employer, often leading to faster response times and exclusive opportunities.
- What are the primary responsibilities of an Applied AI Engineer at Qualified Health?
- As an Applied AI Engineer at Qualified Health, you will focus on developing and deploying agentic workflows and automation pipelines. You'll also build and maintain production services, REST APIs, and integrations, while evaluating and integrating state-of-the-art LLMs into production use cases.
- What technical skills are essential for this Applied AI Engineer role?
- A strong foundation in Python software engineering, experience building AI applications with LLMs (like ChatGPT, Claude, Anthropic, Mistral), hands-on REST API development, and experience deploying services in cloud environments (GCP preferred) are essential. Understanding MLOps and workflow automation in production systems is also crucial.
- What kind of company culture can I expect at Qualified Health, given they are part of Jobright TNT?
- Companies within Jobright TNT, including Qualified Health, typically foster a culture of agility, speed, and a bias towards shipping solutions quickly. You can expect an environment that values both startup scrappiness and robust engineering rigor, requiring strong collaboration and communication skills.
- How does the salary range of $180K - $250K reflect the role's expectations for an Applied AI Engineer?
- The competitive salary range of $180K - $250K reflects the high-demand nature of Applied AI Engineers with strong software engineering backgrounds and experience in deploying LLM-powered applications. This compensation is commensurate with the critical role you'll play in developing advanced AI solutions for the healthcare industry.
- What does 'agentic workflows' mean in the context of this Applied AI Engineer position?
- Agentic workflows refer to automated processes where AI agents can autonomously plan, execute, and adapt tasks to achieve specific goals. In this role, you'll be developing and deploying these sophisticated automated systems, which are a key part of modern AI applications.