Build Full-Stack AI-Powered Applications
Design and develop end-to-end applications that integrate AI capabilities into client workflows, from database and API layers to front-end interfaces
Build back-end services in Python, including RESTful APIs, data pipelines, and integrations with AI/ML services and APIs (OpenAI, Anthropic, AWS Bedrock, Azure AI, etc.)
Develop front-end experiences using Python frameworks (Streamlit, Dash, Django) and JavaScript frameworks (React, Next.js) depending on project requirements
Connect applications with relational and NoSQL databases, cloud services, and third-party APIs
Maintain, troubleshoot, and extend existing low-code solutions (e.g., Microsoft Power Apps, SharePoint-based dashboards and workflows)
Write clean, production-grade code with proper testing, documentation, and CI/CD practices
Create fast, compelling prototypes and proof-of-concept applications that demonstrate AI value to clients and stakeholders
Integrate large language models, generative AI services, and agentic frameworks into applications to automate workflows and enhance user experiences
Experiment with emerging AI tools and platforms to accelerate development and push the boundaries of what’s possible
Participate in client meetings, translating technical concepts into business value and gathering requirements
Represent ICF professionally in client-facing settings

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
3–5 years of professional software development experience, with demonstrable applied AI/ML integration work
Strong proficiency in Python, including experience building APIs (Flask, FastAPI, Django) and working with data libraries
Front-end development skills across both Python UI frameworks (Streamlit, Dash, Django templates) and JavaScript ecosystems (React, Next.js, or similar)
Experience integrating AI/ML models and services into production applications (API-based integration with LLMs, computer vision services, NLP tools, etc.)
Solid understanding of AI/ML fundamentals — you don’t need to train models from scratch, but you should understand how they work, when to use them, and how to evaluate their outputs
Experience with at least one major cloud platform (AWS, Azure, or GCP) and their AI/ML services
Proficiency in SQL and experience working with both relational and NoSQL databases
Familiarity with version control (Git), CI/CD pipelines, and modern software engineering practices
Excellent communication and interpersonal skills — demonstrated ability to explain complex technical concepts to non-technical stakeholders in a clear, approachable way
A builder’s mindset: you default to shipping working software, not writing slide decks about it — and you’re not afraid to jump into an unfamiliar platform or codebase and figure it out

Benefits

Competitive vacation and retirement plans
Comprehensive health benefits
Flexible work location (fully remote)
Ongoing training and development opportunities
Friendly community with lots of social events
Participation in charity initiatives
Employee support program
Opportunity to work on a variety of impactful projects across multiple industries

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRESTful APIsAI/ML integrationFlaskFastAPIDjangoSQLNoSQLJavaScriptReact

Soft Skills

communicationinterpersonal skillsproblem-solvingclient-facingtranslating technical conceptscollaborationadaptabilitycreativityattention to detailbuilder's mindset

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering