conduct statistical analyses on business processes using ML techniques
train, test, deploy, and maintain models that learn from data
own and define the direction of critical solutions by applying best-fit ML algorithms and technologies
collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world-class solutions

3+ years of experience in software engineering, applied AI and ML, or full-stack development, including AI integrations
Experience rapidly prototyping, developing, and iterating on use-case-specific AI solutions such as chat systems, user-facing applications, and domain-specific copilots
Experience conducting comprehensive evaluation and tuning of AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics
Experience with Python and building API endpoints such as FastAPI or Flask or rapid UI frameworks such as Streamlit or Gradio to demonstrate AI capabilities
Ability to work closely with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities
Ability to pivot quickly between different domains and use cases, adapting AI solutions to diverse operational requirements
Bachelor's degree

Applied AI Engineer

Key skills