Senior Full Stack AI Developer
ECS Tech Inc
- Location
- Remote (Fairfax, Virginia)
- Compensation
- $125k - $185k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
ECS Tech Inc is seeking a Senior Full Stack AI Developer to build high-quality, AI-driven solutions and microservices. The role focuses on leveraging machine intelligence and data to solve real-world problems while designing CI/CD automation and improving the development environment.
Skills
Full job details
Everforth ECS is seeking an Senior Full Stack AI Developer to work remotely.
We are looking for a talented Senior Full Stack AI Developer, who is passionate about development and engineering with data, cloud, and AI. Strong candidates will have a desire to learn and work with new technologies, while providing high quality technical support and leadership for transformational development efforts.
Responsibilities:
- Building quality solutions that solve real world problems using a high level of machine intelligence
- Finding intelligent ways to solve problems without a lot of repeat work
- Leveraging expertise to advise and create solutions that are simple, secure, and maintainable
- Build, maintain, and update automation code and/or scripts
- Design and implement continuous integration and delivery automation in support of software, configuration, and infrastructure management
- Development of microservices and applications
- Finding opportunities to use data and metrics to inform decisions and create changes to improve the environment
- You will be supporting Commercial Accounts (Not Federal)
Salary: $125,000 - $185,000
General Description of Benefits
Required Skills:
- Bachelor’s degree in engineering or technical discipline, or associates with equivalent years of experience.
- At Least 8 Years of overall experience and knowledge of:
- Unix/Linux Administration
- Networking and virtual infrastructure management
- Application Development
- Strong scripting in at least one language Python, Perl, Shell, Batch
- Cloud Engineering
- AI/ML concepts including large language models, retrieval-augmented generation, vector databases, and model deployment pipelines.
- Must successfully complete a stringent Background Investigation.