7 часов 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/LLM): 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 AI systems. Focus on developing AI agents, automating deployment with IaC and CI/CD, and optimizing reliability and scalability in AWS/GCP environments.
Location: Hybrid in Tysons, Virginia, United States
Salary: $120,000–$150,000 annually
Company
delivers AI, cloud, cybersecurity, and modernization solutions for federal defense, health, and humanitarian agencies, with more than 1,700 employees and over 100 prime contracts.
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 data engineers, software engineers, data scientists, and stakeholders to deliver operational AI systems.
- Automate cloud model deployment using Infrastructure as Code, CI/CD pipelines, and container orchestration.
- Monitor deployed AI systems, tune performance, and improve reliability and scalability.
- Write clean, documented, reproducible code following industry and federal guidelines.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
- 1–5 years of hands-on experience delivering AI/ML solutions.
- Experience with generative AI, LLMs, tool calls using MCP, and agentic frameworks.
- Strong understanding of AI APIs including OpenAI, Anthropic, Gemini, and Bedrock.
- Proficiency in TypeScript and Python, with familiarity with relevant AI, web, testing, and backend libraries.
- Experience with AWS or GCP, Docker, Kubernetes, CI/CD, and U.S. citizenship with eligibility for a DoD Secret clearance.
Nice to have
- Experience with Terraform, OpenTofu, AWS CDK, or CloudFormation.
- Exposure to data engineering, data science, UI/UX, cloud engineering, or platform engineering.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or related regulatory frameworks.
- Curiosity about emerging AI innovations and a focus on mission impact.
Culture & Benefits
- Work on AI solutions supporting national security and public well-being.
- Mentorship from senior AI leaders, technical design reviews, and opportunities for professional growth.
- Health, dental, and vision coverage, life insurance, disability insurance, and a 401(k) or IRA retirement plan.
- Paid vacation, sick leave, public holidays, and family leave.
- Training and development programs plus wellness resources.
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