обновлено 4 дня назад
AI Software Engineer
120 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineer (Generative AI/LLMs): Building and deploying cloud-native agentic AI capabilities for federal defense, health, and humanitarian missions with an accent on LLM integration, tool calling, and production reliability. Focus on developing AI agents, automating model deployment with IaC and CI/CD, and optimizing scalable systems across AWS and GCP.
Location: Tysons, Virginia, United States; on-site. U.S. Citizenship and eligibility for a DoD Secret clearance are required.
Salary: $120,000–$150,000 annually.
Company
delivers AI, cloud, cybersecurity, and modernization solutions for federal defense, health, and humanitarian missions.
What you will do
- Prototype, customize, and refine generative AI and LLM-powered capabilities.
- Develop agentic AI systems, including model selection, agent creation, tool calling, response synthesis, and background agents.
- Collaborate with software engineers, data engineers, data scientists, and stakeholders to deliver operational AI systems.
- Automate model deployment using infrastructure as code, CI/CD pipelines, containers, and cloud platforms.
- Monitor deployed AI systems, tune performance, and improve reliability and scalability.
- Write clean, documented, reproducible code aligned with industry and federal guidelines.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
- 3–7 years of hands-on experience delivering AI/ML solutions.
- Experience with generative AI, LLMs, tool calls, and agentic frameworks.
- Experience with AI APIs including OpenAI, Anthropic, Gemini, and Bedrock.
- Proficiency in TypeScript and Python, with familiarity with relevant AI, web, testing, and data libraries.
- Experience with AWS or GCP, Docker, Kubernetes, CI/CD, and AI coding tools; U.S. Citizenship and DoD Secret clearance eligibility required.
Nice to have
- Experience with Terraform, OpenTofu, AWS CDK, or CloudFormation.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or related regulatory frameworks.
- Exposure to data engineering, data science, UI/UX, cloud engineering, or platform engineering.
Culture & Benefits
- Work on AI solutions supporting national security, public health, and humanitarian missions.
- Mentorship from senior AI leaders, technical design reviews, and opportunities for professional growth.
- Health, dental, and vision care; retirement plans; life insurance; and disability coverage.
- Paid vacation, sick leave, public holidays, and family leave.
- Training and development resources and wellness programs.
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