C
Full Stack AI Engineer Jobs
ClearanceJobs
2 hours ago
Full-time
On-site
Full Stack AI Engineer
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 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/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. For more info email at ravir@infogateways.com Information Gateways Inc is an Equal Opportunity Employer, including disability/vets. At Information Gateways we also participate in E-Verify.
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 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/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. For more info email at ravir@infogateways.com Information Gateways Inc is an Equal Opportunity Employer, including disability/vets. At Information Gateways we also participate in E-Verify.