13 часов назад
Engineering Manager - AI Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager - AI Platform (GenAI/.NET/Python): Build and lead a platform providing shared GenAI services, AI agents, RAG, semantic search, and workflow automation for public-sector SaaS products with an accent on reusable platform services, secure governance, and scalable cloud-native architecture. Focus on designing distributed systems, establishing AI safety guardrails and evaluations, and delivering APIs, orchestration, and infrastructure across .NET, Python, and AWS.
Location: Remote
Company
builds SaaS technology for government and education organizations, supporting public-sector HR, compliance, and employee-management workflows.
What you will do
- Lead, hire, coach, and grow a small team of AI/ML and platform engineers.
- Own the roadmap and delivery of shared AI platform services across public-sector SaaS products.
- Build reusable GenAI services, AI agents, orchestration, RAG, semantic search, tool calling, MCP integrations, and workflow automation.
- Define platform standards, golden paths, and shared frameworks for engineering teams.
- Modernize microservices, event-driven systems, API-first services, infrastructure as code, and CI/CD across .NET, Python, and cloud-native environments.
- Establish AI governance and safety practices, including evaluations, guardrails, tracing, PII protection, and human-in-the-loop workflows.
Requirements
- 6–8 years of engineering experience, including 1–2 years leading as a manager or tech lead; strong senior or staff engineers transitioning into management are considered.
- Experience shipping shared or platform services used by other engineers.
- Hands-on experience with GenAI/LLMs, RAG, vector databases, and semantic search.
- Strong .NET and Python skills for APIs, backend systems, and AI services.
- Foundations in distributed systems, microservices, event-driven architecture, API-first design, IaC, containers, CI/CD, and cloud-native SaaS.
- Working knowledge of AI governance, safety, communication, and cross-functional engineering leadership.
Nice to have
- Experience building AI platforms, internal AI tooling, or an AI Center of Excellence.
- Experience with agents, A2A, MCP servers, tool registries, agent memory, and observability.
- Experience delivering products in regulated or public-sector environments.
- Familiarity with Langfuse, LangSmith, MLflow, Phoenix, OpenSearch, Snowflake, or Databricks.
Culture & Benefits
- Remote working opportunities with autonomy and supportive leadership.
- Medical, dental, vision, and other comprehensive benefits for full-time employees.
- Generous paid time off and 12 weeks of paid parental leave.
- 401(k) matching.
- Inclusive and diverse work environment.
Hiring process
- The process may include AI screening for keywords and minimum qualifications.
- Recruiters review all screening results.
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