AI/ML Engineer (Generative AI)

Location: 100% remote; work is performed with secure government cloud environments and AWS GovCloud.

Company

hirify.global is a growing technology company focused on secure, mission-oriented solutions for government and business workflows.

What you will do

• Design, build, integrate, deploy, monitor, and optimize AI/ML capabilities across the full lifecycle.
• Translate operational use cases into scalable AI/ML architectures, APIs, services, and enterprise integrations.
• Develop production-quality Python applications, reusable modules, automation, automated tests, and CI/CD workflows.
• Design Generative AI and RAG workflows covering document ingestion, parsing, chunking, embeddings, indexing, retrieval, prompting, and inference.
• Evaluate model behavior, retrieval quality, response relevance, groundedness, hallucination risk, and overall solution effectiveness.
• Collaborate with application, data, cloud, cybersecurity, and mission teams while documenting architectures, interfaces, dependencies, and operations.

Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline.
• Experience with Generative AI, foundation models, RAG architectures, embeddings, vector search, semantic retrieval, prompt engineering, and LLM evaluation.
• Experience with supervised or unsupervised machine learning, feature engineering, model training, and model selection where traditional ML is in scope.
• Familiarity with MLOps or LLMOps, automated model and application evaluation, and responsible AI practices.
• Experience deploying containerized workloads and microservices.
• Experience working in government, defense, regulated, or other security-sensitive environments.

Nice to have

• AWS Certified AI Practitioner certification.
• AWS Certified Machine Learning Specialty certification.

Culture & Benefits

• Fully remote workplace.
• Work on secure mission and business workflows in government cloud environments.
• Use FedRAMP-authorized services available in AWS GovCloud.
• Apply security, data handling, compliance, and Zero Trust requirements to AI/ML solutions.
• Collaborate across engineering, cybersecurity, cloud, data, and mission disciplines.