NobleReach Foundation
Information Technology
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied AI Engineer at NobleReach Foundation. Skills: Applied AI, LLM Agents, Python Development. Design LLM-powered agents. Build LLM-powered agents”
What You'll Achieve.
Deliver reliable AI solutions; Deliver secure AI solutions; Deliver cost-effective AI solutions; Create measurable value
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in AI, data science, computer science, or related technical field, Proficiency in Python, Hands-on experience building with LLM APIs, Prompt engineering experience, Tool use experience, Basic agent or workflow patterns experience, Ability to move quickly from idea to working prototype, Experience using AI-assisted development tools, Willingness to ask questions, Willingness to take feedback, Willingness to propose better approaches, Written communication skills, Verbal communication skills, Ability to explain technical tradeoffs to non-technical stakeholders, Experience building something real users used, Familiarity with integrating APIs across tools, Entrepreneurial mindset, Genuine curiosity, Desire to make an impact
Nice to Have
Experience with Microsoft 365, Experience with Salesforce, Experience with other data platforms
What You'll Do.
Design LLM-powered agents
Build LLM-powered agents
Deploy LLM-powered agents
Automate business processes
Augment business processes
Translate business requirements
Prototype agent concepts
Iterate on agent architectures
Support infrastructure
Integrate internal APIs
Integrate third-party APIs
Build reusable components
Build reusable scripts
Build reusable utilities
Follow version control
Follow documentation best practices
Test AI agents for accuracy
Test AI agents for consistency
Test AI agents for edge cases
Adhere to AI Governance Policy
Adhere to security standards
Contribute to evaluation metrics
Contribute to test cases
Contribute to documentation
Monitor deployed agents
Support ongoing improvements
Support performance improvements
Support reliability improvements
Support cost improvements
Troubleshoot AI agents
Collect user feedback
Partner with AI Ambassadors
Understand workflow pain points
Assist with brown bag sessions
Assist with internal training
Document agent behavior
Document usage guidelines
Document lessons learned
Stay current on LLM advances
Stay current on agent framework advances
Stay current on applied AI advances
Experiment with new tools
Experiment with new techniques
Share findings with manager
Share recommendations with manager
Bring back insights from conferences
Bring back insights from courses
Bring back insights from community events
How You'll Work.
Team & Collaboration
Cross-functional partners; AI Ambassadors; Department stakeholders
Communication Scope
Explain technical tradeoffs
Full Job Description
## Description Company Overview NobleReach Foundation is a civic leadership platform committed to rekindling a spirit of national service across all career stages. We believe the greatest challenges facing America demand technology, science, and business leaders fluent in government, industry, and academia—leaders who belong across sectors, not confined to one. We’re a hub where current and aspiring leaders can connect to opportunities that can meet their ambition for personal success and their passion to impact the world through public service. Job Overview Reporting to the Applied AI Manager, the Applied AI Engineer is an individual contributor who owns AI agents and LLM-powered solutions end-to-end, from scoping with users, to prototype, to production. This role moves fast. You will be expected to ship working prototypes quickly, gather feedback directly from the people using your agents, and iterate. You will also be expected to challenge assumptions, propose better approaches, and bring your own point of view rather than wait for detailed specs. The Applied AI Engineer works closely with the Applied AI Manager and cross-functional partners to deliver reliable, secure, and cost-effective AI solutions that create measurable value for NobleReach. ## Responsibilities Agent Development & Implementation Design, build, and deploy LLM-powered agents and workflows that automate or augment internal business processes Translate business requirements into working technical solutions Rapidly prototype new agent concepts using current AI development platforms and frameworks Iterate on prompts, tools, and agent architectures based on user feedback and performance data Python Development & API Integration Write clean, maintainable Python code to support AI agents, workflows, and supporting infrastructure Integrate AI systems with internal and third-party APIs, including Microsoft 365, Salesforce, and other data platforms Build reusable components, scripts, and utilities that a
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