Senior Full Stack AI Engineer, (Senior Consultant, Engineering & Technical Services)
Fearless
Location
🇺🇸 United States
Type
full_time
Salary
Undisclosed
Posted
3w ago
Job Description
Job Requirements
Senior Full Stack AI Engineer (Senior Consultant, Engineering & Technical Services) At Fearless, we are seeking a Senior Full Stack AI Engineer as part of our Senior Consultant, Engineering and Technical Services career path to lead design and build of n-tier solutions. This role will actively modernize the federal platform by migrating legacy components to cloud-native AWS services while integrating Amazon Bedrock AI capabilities, modern application architectures, automated testing, CI/CD, and secure software engineering practices. At Fearless, this Senior Consultant collaborates with cross functional teams to align the technical vision, implementation, and quality of software systems across development, reliability, testing, and operations. This role will possess the skills to be able to bridge business objectives with technical execution in software development, infrastructure, security, and testing at an advanced application level of proficiency. The Sr. Consultant role will work on projects that allow them to ensure scalable, secure, and reliable solutions while mentoring engineers, fostering collaboration, and aligning stakeholders with product and project goals. Work Location • This role operates largely in a remote capacity. • Occasional travel to the customer location in Washington, DC may be required to support collaboration with federal stakeholders. Fearless
Your Responsibilities
In This Role • Develop modern React applications that deliver intuitive user experiences for federal mission systems. • Build backend services using C#/.NET and Python to support scalable, secure federal platform operations. • Design and implement secure relational database solutions that ensure data integrity and compliance with federal standards. • Integrate Amazon Bedrock AI services into federal applications to enable intelligent workflows and decision support. • Engineer AWS-native cloud solutions that leverage managed services for reliability, scalability, and cost optimization. • Build CI/CD pipelines that automate testing, security scanning, and deployment across development and production environments. • Perform automated testing to ensure application quality, security, and compliance with federal