Senior Full Stack Engineer- Remote

*We are open to supporting 100% remote work anywhere within the US* If you live in the DC Metro area you will be required to go into the customer site in Rockville, MD 1 day a week.

ICF is seeking a highly motivated and technically skilled Full-Stack Software Engineer with 4-5 years of experience in full-stack development and AI-driven application design. The ideal candidate will possess strong hands-on experience in developing both Proof of Concepts (POCs) and production-ready applications, with a deep interest in Generative AI (GenAI) and Large Language Models (LLMs). You will work closely with cross-functional teams to ideate, prototype, and implement innovative AI-based solutions to solve complex, real-world business challenges.

Our Digital Modernization Division is an information technology and management consulting department that offers integrated, strategic solutions to its public and private-sector clients. ICF has the expertise, agility, and commitment to design, build, and operate high-performance IT engines to support all aspects of our client's business.

Key Responsibilities

• Design, develop, and deploy end-to-end AI-powered web applications, from rapid prototypes to scalable production systems.
• Collaborate with data scientists, AI researchers, and product managers to translate conceptual ideas into working software.
• Build and integrate LLM and Generative AI solutions, leveraging frameworks like Hugging Face, LangChain, or similar open-source toolkits.
• Develop Proof of Concepts (POCs) to validate ideas quickly while maintaining focus on feasibility and user experience.
• Implement cloud-based AI services (AWS, Google Cloud Platform, Azure) for model deployment, scalability, and monitoring.
• Maintain best practices for data handling, including data ingestion, preprocessing, and feature engineering.
• Optimize application performance, security, and reliability across the full stack.
• Communicate technical concepts clearly to non-technical stakeholders and contribute to team knowledge sharing.

Required Qualifications

• Bachelor's Degree
• 4+ years of proficiency in React, Next.js, Node.js, and Express.js for front-end and back-end development.
• 3+ years of strong programming experience in Python, with familiarity in frameworks and libraries such as TensorFlow, PyTorch, and Keras.
• 3+ years of experience with RDBMS (ideally both Oracle and PostgreSQL) and PL/SQL
• 3+ years of experience with RESTful API design, microservices architecture, CI/CD tools, methods and processes, including development of multi-environment pipelines (e.g., Jenkins, AWS CodePipeline), Configuration, and Containerization/Orchestration, including Docker & Kubernetes
• Familiarity with cloud services (AWS, Google Cloud Platform, Azure), especially AI/ML platforms such as SageMaker or Azure ML Studio.
• ship required due to federal contract requirements
• Must be able to obtain Public Trust clearance
• MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply

Preferred Experience

• Master's Degree
• Exposure to fine-tuning or adapting pre-trained AI models for custom use cases.
• Hands-on experience with open-source Generative AI frameworks such as Hugging Face Transformers, LangChain, or similar.
• Experience building and deploying LLM applications or working with text-to-image models like Stable Diffusion.
• Knowledge of CI/CD pipelines and MLOps practices for scalable AI deployment.
• Familiarity with data versioning, model evaluation, and performance optimization.
• AWS experience, including some of the following:
  
  • EC2, RDS, S3, CloudFront, DataDog, EKS, Helm, Jenkins, ECS, Fargate

Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

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.

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.

Candidate AI Usage Policy

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 or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at We are dedicated to providing the 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:
$98,124.00 - $166,810.00

Nationwide Remote Office (US99)