Seasonal Associate, Full Stack Developer

We are seeking motivated Seasonal Associates with a foundation in programming and a passion for solving real problems using modern AI-enabled technology. The ideal candidate is eager to collaborate, comfortable learning quickly, and interested in applying GenAI tools (e.g., LLMs and prompt techniques) alongside core software and data engineering practices.

The position is fully remote from anywhere in the United States. At this time, we are unable to provide relocation or housing assistance for this internship.

As a Seasonal Associate, Full-Stack Developer for the Chief Technology Office, you will:

• Support rapid prototype development using AI tools and AI frameworks
• Hands-on experience building lightweight front ends and back ends that allow stakeholders to interact with our prototypes
• Navigate responsible LLM usage, prompt design, and practical grounding patterns (such as grounding responses in authoritative client data)
• Collaborate with senior engineers and technology partners to integrate, test, and demonstrate capabilities in real workflows
• A key objective of this opportunity is to create a win-win engagement where you obtain a fresh perspective, new ways of thinking, and emerging AI skills to solve real challenges. The goal is to deliver work with measurable impact, and the intern may have the opportunity to present learning or deliverables to leadership before the internship concludes.

• By start date, a completed bachelor’s degree
• Acceptance/ enrollment verification, or at least 9 credit hours of completed graduate-level courses in computer science or a relevant discipline
• Candidate must be a US citizen or lawful permanent resident (Green Card holder), reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. per contract requirements.

• Demonstrated interest, knowledge or early experience in using AI coding assistants (e.g., GitHub, Copilot, Claude Code, ChatGPT) for software development tasks
• Familiarity with at least one programming language (such as Python, JavaScript/TypeScript, or Java)
• Familiarity with GenAI/LLM tooling — prompt frameworks, vector databases, modern LLM APIs (Anthropic, OpenAI), or Model Context Protocol (MCP)
• Experience with version control systems (e.g., Git)
• Exposure to cloud platforms (such as AWS, Azure, or Google Cloud)
• Strong analytical and problem-solving skills, with an interest in data and systems thinking
• Excellent communication skills and ability to work collaboratively in a team environment
• Enthusiasm for learning new technologies and applying them to real-world challenges

Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact for assistance.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Work Authorization and Sponsorship All candidates must be authorized to work in the United States. This position is not eligible for new H-1B visa sponsorship by ICF. Candidates who currently hold valid work authorization may be considered for a change of employer petition, subject to company policy and applicable immigration requirements.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email  and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process. 

However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at . Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed. 

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

Originally posted on Himalayas