Cleared Hybrid Full Stack AI Developer (5490)
At a glance
Mid-level AI Engineering role at smxtech. Hanover · $135,100–$187,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build full-stack web applications and cloud-native systems, covering React interfaces and backend services
- Connect enterprise applications to AI and machine-learning services, then implement RAG and agent workflows
- Tune prompts, track model behavior and help keep AI solutions efficient to operate
- Handle deployment automation, monitoring, troubleshooting and ongoing support for AI-enabled systems
- Apply AWS security controls and support CI/CD, infrastructure automation and cloud cost management
What you bring
- At least five years developing full-stack software professionally
- A bachelor's degree in computer science, information systems or another listed field
- Hands-on work with React or a similar front end, Python or Node.js, and applications running on AWS
- Experience putting at least one AI or machine-learning system into production
- An active CompTIA Security+ certification
Who this fits
This mid-level hybrid role is based in Hanover, Maryland, and suits someone who can work across front end, backend, AWS and production AI systems. The position requires a background investigation and/or education verification for selected applicants. SMX does not provide immigration sponsorship or related work-authorization support for this role.
From the employer
cBEYONData a subsidiary of SMX is seeking a Full Stack AI Developer to design, develop, and maintain scalable AI-enabled web applications and cloud-native solutions leveraging AWS technologies. The ideal candidate is a strong systems thinker with experience across front-end development, backend services, cloud infrastructure, and emerging AI technologies. This role will support the development of modern AI-powered applications, integrations, and automation capabilities while ensuring scalability, security, and operational efficiency in a high-tempo environment. This role is hybrid supporting a Hanover, MD program
Essential Duties & Responsibilities:
- Design, develop, and maintain scalable full-stack web applications using modern frameworks and cloud-native architectures
- Build and maintain user interfaces using React and related front-end technologies
- Develop backend services, APIs, serverless functions, and integrations using Python and/or Node.js
- Integrate AI and machine learning services such as Amazon Bedrock and other large language model (LLM) platforms into enterprise applications
- Implement Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI orchestration capabilities
- Optimize AI model prompts, monitor model performance, and support cost-efficient AI solution design
- Support deployment automation, monitoring, troubleshooting, and operational sustainment of AI-enabled systems
- Collaborate with engineers, product owners, and stakeholders to deliver scalable and secure solutions
- Ensure compliance with cybersecurity requirements and cloud governance best practices utilizing AWS IAM, security guardrails, and related controls
- Support DevSecOps activities including CI/CD pipelines, infrastructure automation, and cloud cost management
Required Skills & Experience
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field
- Minimum 5 years of professional experience in full-stack software development
- Demonstrated experience developing modern web applications using React or similar (front-end) and Python and/or Node.js (backend) technologies
- Experience developing and deploying cloud-native applications in AWS environments
- Demonstrated experience supporting at least one production-grade AI or machine learning implementation
- Experience integrating APIs, asynchronous processing, and scalable backend services
- Understanding of software security principles and secure cloud architecture practices
- Experience with DevSecOps concepts and modern software delivery practices
- Strong troubleshooting, analytical, and problem-solving skills
- Excellent written and verbal communication skills
- CompTIA Security+ certification required
Desired Skills & Experience
- Experience with Amazon Bedrock or other enterprise generative AI platforms
- Experience implementing RAG architectures, AI agents, or orchestration frameworks
- Familiarity with vector databases, embeddings, and AI evaluation techniques
- Experience optimizing AI model usage for performance and cost efficiency
- Familiarity with containerization and orchestration technologies
- Experience supporting federal or DoD environments
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:$135,100—$187,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).