Principal Engineer (AI Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Engineer (AI Engineering): Designing and building AI-enabled software development automation tools for legacy application modernization with an accent on multi-modal GenAI, LLM orchestration, and cloud-native architecture. Focus on developing custom agents, RAG/GraphRAG systems, and scalable infrastructure to automate architectural discovery and requirement extraction.
Location: Washington, United States
Salary: Up to $206,500 USD
Company
acquires and grows specialized software businesses, helping them modernize through shared AI expertise and operational discipline.
What you will do
- Develop core AI-enabled automation tools and services, including custom agents and GenAI integrations.
- Design and implement RAG and GraphRAG systems for legacy software analysis and architectural discovery.
- Own the technical design and implementation of features, ensuring adherence to cloud-native standards across AWS, Azure, and GCP.
- Lead, mentor, and coach senior and junior engineers, defining and enforcing engineering standards.
- Implement secure-by-design principles and robust cloud-native observability tooling to monitor complex distributed systems.
Requirements
- 8+ years of progressive software engineering experience, including roles as Principal, Staff, or Architect.
- Expert-level mastery of AWS (EC2, Lambda, EKS, S3, RDS) and Infrastructure-as-Code using Terraform.
- Deep experience with Docker, Kubernetes, and serverless technologies for scalable distributed architectures.
- Proficiency in modern languages (TypeScript, Python, C#, Java, Go, or Ruby) and UI frameworks like React or NextJS.
- Strong command of DevSecOps practices and CI/CD platforms such as GitHub Actions or GitLab CI.
- Must be based in Washington, United States.
Nice to have
- Experience building and operating multi-tenant SaaS solutions at scale.
- History of leading modernization or re-platforming efforts for large B2B applications.
- Experience with multi-agent frameworks (crewAI, autogen) and frameworks like Langchain or LlamaIndex.
- Expertise in Hybrid Vector Databases, Prompt Engineering, and Guardrail Design for enterprise AI safety.
Culture & Benefits
- Great Place to Work Certified environment with a focus on technical excellence.
- Mission-driven culture focused on long-term growth of portfolio companies.
- Commitment to equity and social impact via the Foundation.
- Culture of continuous improvement, knowledge sharing, and high engineering standards.
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