Agentic AI Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Agentic AI Developer (AI): Building and deploying Agentic AI systems to process massive datasets for the Air Force with an accent on agentic frameworks, LLMs, and RAG. Focus on designing production-grade software, implementing MLOps, and creating secure data foundations on cloud platforms.
Location: Remote (USA). Must be based in the US and have the ability to obtain a Secret clearance.
Salary: $99,000.00 - $225,000.00 (annualized USD)
Company
is a leading professional services and consulting firm providing mission-critical technical solutions to the US government and defense sectors.
What you will do
- Train, test, deploy, and maintain AI models that learn from data to optimize organizational efficiency for the Air Power team.
- Define the direction of mission-critical solutions by applying cutting-edge Agentic frameworks.
- Collaborate with data engineers, scientists, and architects to transform how the Air Force manages daily business operations.
- Translate tacit knowledge from domain SMEs into explicit playbooks, decision logic, and human-in-the-loop tools.
- Implement MLOps and DevSecOps practices in constrained or regulated environments.
Requirements
- 2+ years of experience building production-grade software in Python, TypeScript, or Java with APIs (FastAPI, Flask, REST, GraphQL) and SQL.
- 2+ years of experience developing and deploying AI applications (LLMs, RAG, GraphRAG, agentic workflows, or tool-calling).
- Experience building secure data foundations on enterprise cloud platforms like AWS.
- Proficiency in event-driven integrations and workflow automation (asynchronous messaging, job orchestration).
- Ability to obtain a Secret security clearance.
- Bachelor's degree.
Nice to have
- Experience with geospatial/3D data (LiDAR, point clouds) or digital-twin data models.
- Knowledge of vector databases, knowledge graphs, or semantic search.
- Experience with IoT telemetry and edge-to-cloud flows (Kafka, NATS, RabbitMQ).
- Experience deploying pipelines in disconnected, air-gapped, or classified environments.
- Proficiency with Kubernetes, OpenShift, and Infrastructure as Code (Terraform) in DoD environments.
- Experience with computer vision and multimodal analytics pipelines.
Culture & Benefits
- Comprehensive health, life, disability, and retirement benefits.
- Paid leave and tuition assistance for professional development.
- Work-life programs and dependent care support.
- Recognition awards program for exceptional performance.
- People-first culture prioritizing flexible collaboration (virtual and in-person).
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