ECS is seeking a Senior Software Engineer (Full Stack AI) to work remotely. Please Note: This position is contingent upon additional funding.
ECS is seeking a Senior Software Engineer – Full Stack AI Developer to join our team of technical experts supporting the U.S. Department of Homeland Security (DHS) Headquarters, Chief Technology Officer Directorate (CTOD), Artificial Intelligence and Emerging Technology (AI/ET) initiative. This team works with a federal workforce staff of technical experts for high-visibility, department-wide AI initiatives.
The ideal candidate is a strong individual contributor with continuous, hands-on coding experience, spending approximately 80% of their time writing code and will excel with current experience developing innovative software solutions as part of a technically diverse and geographically disbursed team. They have a proven track record in building and deploying modern web applications. Significant professional Full-Stack development experience with expertise in multiple programming languages, proficiency with cloud services (Azure and AWS with Azure preferred), expertise in Python for back-end development, experience with front-end frameworks such as React and CSS, strong experience in API development and management, and a comprehensive knowledge of both SQL and NoSQL databases. Competitive candidates will have substantial experience in working in agile, and collaborating with engineering teams using modern engineering tools.
This is a remote work eligible position.
Responsibilities include, but are not limited to:
- Designing, developing and maintaining custom full-stack applications with a focus on AI and GenAI integration.
- Designing and implementing robust backend services and APIs.
- Collaborating with data scientists and AI researchers to create new functionality and to integrate AI models into applications.
- Ensuring the performance, quality, and responsiveness of full-stack applications.
- Develop and maintain full-stack applications with a focus on AI integration.
- Design and implement backend services and APIs.
- Collaborate with data scientists and AI researchers to integrate AI models into applications.
- Ensure the performance, quality, and responsiveness of applications.
- Conduct code reviews and maintain code quality standards.
- Participating in agile delivery phases and ceremonies including release and sprint planning, artifact creation, sprint testing, demonstrations and retrospectives.
- Staying current with the latest advancements in AI technologies, tools, and best practices.
Salary Range: $160,000 – $215,000
General Description of Benefits
Qualifications
- Ability to obtain DoD Security Clearance.
- Ability to obtain Department of Homeland Security (DHS) Suitability/Entry On Duty (EOD) – Active EOD preferred.
- BA/BS in Computer Science or related field and 10 years’ relevant experience. Experience may be substituted for education.
- Ability to analyze technically complex problems and develop and implement new and innovative solutions.
- Full Stack development experience including proficiency in both front-end (React, Typescript, CSS) and back-end development, ability to handle all aspects of a web application from designing the user interface to managing the server and database.
- Expert proficiency in Python for backend development.
- Strong experience with React and CSS for front-end development.
- Strong experience developing within VSCode for development and workflows and working with GitLab to manage source control and GitLab pipelines.
- Experience with a dynamic language/platform (e.g., Python, Node.js, Ruby, PHP)
- Experience with prompt engineering; general knowledge of working with LLMs
- Additional experience in multiple additional software developer languages including, but not limited to: JavaScript, TypeScript, React, YAML, and JSON.
- Ability to work with cloud services and platforms (Azure or AWS) with a preference for strong working knowledge of Azure development and AI hosting infrastructure.
- Ability to develop and work with APIs including familiarity with RESTful services, knowledge of authentication methods, familiarity with data formats, and skilled in handling API errors.
- Comprehensive understanding of SQL/PostgreSQL and NoSQL databases; experience in integrating SQL/PostgreSQL and NoSQL databases within the same application, when appropriate; and advanced understanding of security best practices for both SQL/PostgreSQL and NoSQL databases.
- Ability to work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions.
- Ability to work independently on a complex task with little direction and management oversight.
