Full Stack AI Engineer

Swartek Corporation; Northern (KY); Hybrid; USD 110,000 - 123,000; Full time

Job summary

Swartek Corporation is seeking an experienced software/AI engineer in the United States to design, develop, and deploy AI-enabled full stack applications supporting document processing, intelligent search, and generative AI use cases.

You will collaborate with data scientists, apply LLMOps, build cloud-native backends on AWS, integrate RAG pipelines and vector search, and ensure security and accessibility requirements for client systems.

Qualifications

• Experience building full stack apps with modern frontend frameworks and backend services.
• Hands-on ML/LLM capabilities in production or near-production environments.
• Strong Python for AI workflows and API development.
• Experience with AWS services such as Lambda, S3, ECS/EKS, API Gateway, CloudFormation/Terraform.
• Familiarity with vector search, embeddings, RAG architectures, or NLP/LLM-driven systems.
• DevOps tooling experience (GitLab/GitHub CI/CD, Docker, Kubernetes).
• Ability to work directly with clients and deliver iterative prototypes quickly.
• Ability to obtain and maintain a U.S. Government security clearance and public trust.

Responsibilities

• Design, develop, and deploy AI-enabled 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, cloud-native backend APIs and microservices (AWS-based), data ingestion, and workflow automation.
• Collaborate with data scientists to train, fine-tune, or evaluate ML/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 production-grade systems aligned to client modernization initiatives.
• Participate in sprint ceremonies, backlog refinement, and joint design sessions with product owners and technical leads.
• Produce documentation, architecture diagrams, and deployment artifacts.

Skills

Full stack development

AI/ML production

Python

REST APIs

Client interaction

Security clearance readiness

Tools

React/Angular/Vue

Node.js

Python FastAPI

Java Spring

AWS

Docker

Kubernetes

Vector search / RAG

Job description

This role blends hands-on software engineering, applied AI, cloud-native development, and integration of generative AI accelerators into mission systems.

Job Description:

• Design, develop, and deploy AI-enabled 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, cloud-native backend APIs and microservices (preferably AWS-based), data ingestion, and workflow automation.
• Collaborate with data scientists to train, fine-tune, 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 production-grade systems aligned to client modernization initiatives (e.g., intelligent document management, NLP-driven 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.
• Hands-on experience applying machine learning or LLM capabilities in production or near-production environments.
• Strong Pythonskills 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/LLM-driven 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 investigation

Security & Eligibility Requirements:

• Ability to obtain and maintain a U.S. Government security clearance
• Candidate must have lived in the United States for at least 3 years

Salary Range:$110,000–$123,000 annually. Actual compensation will be determined based on relevant experience, technical proficiency, job-related qualifications, and project requirements.