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Full Stack AI Engineer
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$124,809 / year median in Virginia
Job Description
This role blends hands-on software engineering, applied AI, cloud-native development, and integration of generative AI accelerators into mission systems. Design, develop, and deploy AIenabled full stack applications that support document processing, intelligent search, generative AI use cases, and agentic workflows. Implement and integrate reusable AI accelerators such as RAG pipelines, model orchestration layers, hybrid search components, and structured data generation capabilities. Develop secure, cloudnative backend APIs and microservices (preferably AWSbased), data ingestion, and workflow automation. Collaborate with data scientists to train, finetune, or evaluate machine learning and LLM models implemented within client systems. Apply LLMOps best practices for model lifecycle, experimentation, telemetry, CI/CD, testing, and monitoring. Ensure solutions comply with client security requirements, federal accessibility standards, and responsible AI principles. Support rapid prototyping as well as hardening prototypes to productiongrade systems aligned to client modernization initiatives (e.g., intelligent document management, NLPdriven search, cloud migration). Participate in sprint ceremonies, backlog refinement, and joint design sessions with product owners and technical leads. Produce documentation, architecture diagrams, and deployment artifacts.
Required Qualifications:
Experience building full stack applications using frameworks such as React, Angular, or Vue; and backend frameworks such as Node.js, Python FastAPI, or Java Spring. Handson experience applying machine learning or LLM capabilities in production or nearproduction environments. Strong Python skills for AI workflows and API development. Experience with AWS services (e.g., Lambda, S3, ECS/EKS, API Gateway, CloudFormation/Terraform). Familiarity with vector search, embeddings, RAG architectures, or NLP/LLMdriven systems. Experience with DevOps tooling (GitLab/GitHub CI/CD, Docker, Kubernetes). Ability to work directly with clients, refine requirements, and deliver iterative prototypes quickly. Ability to successfully complete a Public Trust investigatio About Surge InfoTech LLC We are an IT Consulting Company specializing in transformative solutions. We provide comprehensive services including Enterprise Architecture, Application Modernization, and Talent Management. With a focus on innovation and efficiency, we empower businesses to navigate the complexities of the digital landscape. Our dedicated team of experts collaborates closely with clients to optimize their IT infrastructure, streamline applications, and cultivate a high-performing workforce. Through cutting-edge technologies and strategic insights, we drive sustainable growth and enhance operational excellence for organizations of all sizes.