AI Developer (Agentic Frameworks)

TL;DR

AI Developer (Agentic Frameworks): Training, testing, deploying, and maintaining AI models that learn from data, with an accent on agentic frameworks and mission-critical solution direction. Focus on building secure, production-grade AI-enabled applications (LLMs, RAG, and agentic workflows) and applying MLOps/DevSecOps practices to deliver reliable outcomes.

Location: San Antonio, Texas, USA (Remote work available; may require occasional in-person work at a Booz Allen or customer facility)

Salary: $77,500.00–$176,000.00 (annualized USD)

Company

hirify.global delivers customer-focused solutions for mission and enterprise environments.

What you will do

• Train, test, deploy, and maintain AI models that learn from data.
• Define the direction of mission-critical solutions using agentic frameworks.
• Develop and deploy AI-enabled applications including LLMs, RAG, and agentic workflows.
• Build secure enterprise data foundations on cloud platforms (e.g., AWS) to enable reuse across teams.
• Design event-driven integrations and workflow automation (asynchronous messaging, audit logging) to move from insight to action.
• Apply MLOps/DevSecOps practices such as CI/CD, containerization, automated testing, and model evaluation.

Requirements

• 2+ years building production-grade software in Python, TypeScript, or Java with APIs and data services (FastAPI, Flask, REST, GraphQL, or SQL).
• Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows.
• Experience building secure data foundations on enterprise cloud platforms (e.g., AWS) including governed ingest/file exchange, data catalog/metadata, and data mesh-style data products.
• Ability to design event-driven integrations and workflow automation (asynchronous messaging, audit logging).
• Ability to implement MLOps or DevSecOps practices (CI/CD, containerization, automated testing, model evaluation).
• Secret clearance is required.

Nice to have

• Experience with geospatial/3D data (point clouds, LiDAR, photogrammetry) or digital-twin/facility and asset data models.
• Experience integrating sensor streams/IoT telemetry and edge-to-cloud flows (Kafka, NATS, RabbitMQ, or equivalent).
• Experience deploying in disconnected, air-gapped, or classified environments.
• Experience with RMF or STIG-aligned delivery.
• Experience with AI-assisted software development tools and secure-by-design patterns.

Culture & Benefits

• Remote work is available, with possible occasional in-person work at a Booz Allen or customer facility.
• Full-time and part-time employees working at least 20 hours/week are eligible for benefit programs.
• Health, life, disability, financial, and retirement benefits, plus paid leave and professional development.
• Tuition assistance and work-life programs, including dependent care support.
• Recognition awards program for exceptional performance and values.

Hiring process

• Complete an identity verification process using advanced biometrics and AI; be on camera during interviews and assessments.
• Security investigation is required; Secret clearance is required for selected applicants.