Job Requirements
Remote
Secret Polygraph not specified
Mid Level Career (5+ yrs experience)
$140,000 - $170,000
Job Description
Position: Secret AI Engineer
Location (hybrid or remote flexibility if applicable): Remote
Shifts/Schedule: Core Working Hours (8-5 Monday through Friday)
Contract/Perm: 6 Month contract to hire, you will convert perm after 6 months
Time left on gov’t contract: 5 years
Clearance: Secret Clearance
Certifications (can they receive those in first 30-60-90 days?): Security +
Must Haves:
• Active DoD Secret Clearance
• Security+ certification
• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• 7+ years of software engineering experience
• 2+ years of production AI, Machine Learning, or NLP experience
• AWS cloud experience • Understanding of RAG (Retrieval-Augmented Generation) architecture
• Experience with vector databases, embeddings, and semantic search technologies
• Understanding of Python development experience
• Experience building RESTful APIs
Preferred Qualifications:
• Experience building multi-agent systems using LangGraph, AutoGen, or similar frameworks
Day-To-Day:
Insight Global is seeking a qualified Secret AI Engineer in support of one of our large federal clients in Norfolk, VA. This candidate will be responsible for designing, building, and scaling a next-generation AI system. Their day-to-day will include developing multi-agent AI solutions, building RAG and semantic search capabilities, deploying AI applications within AWS or OCI environments, and ensuring security and compliance standards are met. A qualified candidate will have extensive experience with Python development, AI/ML technologies, cloud platforms, vector databases, RAG architectures, API development, and secure enterprise AI implementations
- Design and build scalable multi-agent AI systems that can support large enterprise user bases
- Develop and maintain production RAG pipelines and semantic search capabilities
- Create and manage data ingestion, preprocessing, chunking, and vector database solutions
- Deploy and support AI applications and cloud-based microservices
- Work closely with data scientists, designers, and business stakeholders to integrate AI features into applications
- Implement security controls, compliance requirements, and AI governance best practices
- Support the growth of AI platforms expected to serve approximately 40,000 users
Location (hybrid or remote flexibility if applicable): Remote
Shifts/Schedule: Core Working Hours (8-5 Monday through Friday)
Contract/Perm: 6 Month contract to hire, you will convert perm after 6 months
Time left on gov’t contract: 5 years
Clearance: Secret Clearance
Certifications (can they receive those in first 30-60-90 days?): Security +
Must Haves:
• Active DoD Secret Clearance
• Security+ certification
• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• 7+ years of software engineering experience
• 2+ years of production AI, Machine Learning, or NLP experience
• AWS cloud experience • Understanding of RAG (Retrieval-Augmented Generation) architecture
• Experience with vector databases, embeddings, and semantic search technologies
• Understanding of Python development experience
• Experience building RESTful APIs
Preferred Qualifications:
• Experience building multi-agent systems using LangGraph, AutoGen, or similar frameworks
Day-To-Day:
Insight Global is seeking a qualified Secret AI Engineer in support of one of our large federal clients in Norfolk, VA. This candidate will be responsible for designing, building, and scaling a next-generation AI system. Their day-to-day will include developing multi-agent AI solutions, building RAG and semantic search capabilities, deploying AI applications within AWS or OCI environments, and ensuring security and compliance standards are met. A qualified candidate will have extensive experience with Python development, AI/ML technologies, cloud platforms, vector databases, RAG architectures, API development, and secure enterprise AI implementations
- Design and build scalable multi-agent AI systems that can support large enterprise user bases
- Develop and maintain production RAG pipelines and semantic search capabilities
- Create and manage data ingestion, preprocessing, chunking, and vector database solutions
- Deploy and support AI applications and cloud-based microservices
- Work closely with data scientists, designers, and business stakeholders to integrate AI features into applications
- Implement security controls, compliance requirements, and AI governance best practices
- Support the growth of AI platforms expected to serve approximately 40,000 users
group id: 10112344
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