AI Application Developer

🕒 Ontem

🏈 Ohio – Remoto

🏈 Ohio – Remote

💵 $80.000 - $128.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Peraton

SiteLinkedInTodas as Vagas

10.000+ funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Peraton é uma empresa focada em missões que apoia iniciativas de segurança nacional por meio de serviços avançados de TI e cibernéticos. Eles oferecem capacidades em áreas como defesa cibernética, operações em nuvem, engenharia e inteligência. Com um compromisso em resolver desafios complexos, a Peraton integra tecnologias baseadas em dados para garantir o sucesso das missões de seus clientes militares e governamentais.

Descrição

• Design and build production-grade AI systems for Government programs • Embed AI across the Software Development Life Cycle, including LLM integration, agent-based systems, AI-native software engineering, and AI-enabled DevSecOps • Design and implement AI-orchestrated, agent-driven workflows using cloud-native platforms and secure government AI environments • Architect AI-enabled solutions for code generation, testing, security, documentation, and deployment • Design and build LLM-powered applications and agentic systems for software development, testing, security, and operations • Operationalize multi-step workflows with human-in-the-loop controls • Integrate GenAI.mil models and commercial LLMs with cloud-native AI services • Build and integrate AI microservices and APIs into cloud-native platforms • Build future-state architectures and data pipelines grounded in authoritative mission data • Establish prompt frameworks, chaining strategies, and reusable AI patterns • Integrate AI into IT operations, including ticket triage, root cause analysis, observability, and incident response • Define and track AI adoption performance metrics such as cycle time, defect reduction, cost-per-feature, and SLA improvements • Lead technical adoption across teams, mentor engineers, and standardize best practices • Ensure compliance with federal security, data governance, and AI usage policies • Implement RAG architectures using codebases, documentation, and operational data • Design and implement multi-agent orchestration, tool integration, workflow automation, memory, and feedback loops • Build and optimize secure RAG architectures, vector databases, and semantic search • Orchestrate multiple models and endpoints with routing, fallback, and optimization strategies • Develop scalable prompt frameworks and evaluation pipelines for output quality, drift, reliability, traceability, testing, and auditability • Embed AI into CI/CD, security scanning, testing, documentation, incident response, anomaly detection, and automated remediation • Define KPIs and implement monitoring for AI system behavior, cost, and outcomes • Align systems with DoD/DHA governance, security, and compliance frameworks

🎯 Requisitos

• Minimum of 2+ years of experience with BA/BS, preferably in software engineering, DevSecOps, platform engineering, or related field • Minimum of 2+ years of hands-on experience building AI/LLM-based applications or workflows • Demonstrated experience integrating AI/LLM-based capabilities into engineering or operational workflows • Experience with LLM frameworks and orchestration tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar • Strong expertise in cloud-native architectures using AWS, Azure, or GCP • Deep understanding of CI/CD pipelines, DevSecOps practices, and modern SDLC frameworks • Strong programming skills in Python and at least one additional language such as Java, JavaScript, or Go • Experience designing and deploying distributed systems, APIs, and microservices-based architectures • U.S. Citizenship • Ability to obtain Public Trust Clearance, with potential to obtain Secret Clearance • Preferred 2–5 years of hands-on experience developing and maintaining AI Platforms • Direct experience with GenAI.mil or other secure government AI platforms • Expertise in agent frameworks, LLM orchestration, or emerging AI workflow tooling • Experience with Kubernetes, containerized environments, and platform engineering • Familiarity with MLOps, AIOps, or AI governance frameworks • Experience supporting DoD, DHA, or federal health systems such as MHS GENESIS • Experience deploying AI solutions in IL4/IL5 or FedRAMP High environments • Active TS/SCI clearance

🏖️ Benefícios

• Potential eligibility for overtime • Shift differential may be available • Discretionary bonus may be available