Senior AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (AI/LLM): Building and owning the AI agent infrastructure and automation platform for Marketing Operations with an accent on multi-agent architectures and LLM integrations. Focus on architecting scalable backend services, implementing RAG pipelines, and establishing AI governance to eliminate manual operational work.
Location: Remote (Must be based in the United States)
Salary: $154,445 - $185,334 USD
Company
is an open observability cloud platform built on open source principles, used by millions of users and thousands of customers globally.
What you will do
- Own end-to-end development of multi-agent AI systems, from architecture and implementation to deployment.
- Build modular agentic systems using orchestration frameworks like LangChain, CrewAI, or Anthropic MCP.
- Develop MCP servers, APIs, and microservices connecting LLMs to business systems like BigQuery, Slack, and CRMs.
- Architect data flows for retrieval-augmented generation (RAG) to connect models with internal knowledge bases.
- Design and deploy automation workflows using n8n, Workato, or custom platforms with CI/CD standards.
- Establish AI governance and compliance standards, including access controls, audit trails, and cost management.
Requirements
- 8+ years of software engineering experience with depth in backend, systems integration, or data engineering.
- 2+ years of hands-on experience applying LLMs/AI to production workflows.
- Strong proficiency in Python and JavaScript/Node.js.
- Experience with LLM patterns: prompt engineering, RAG, function calling, and structured output parsing.
- Deep familiarity with Google Cloud Platform (GCP), BigQuery, and serverless/containerized services.
- Must be based in the United States.
Nice to have
- Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant.
- Familiarity with B2B SaaS marketing or sales platforms (Salesforce, HubSpot, Marketo).
- Experience with frontend frameworks like React for building AI tool interfaces.
- Knowledge of workflow orchestration tools like Temporal, Prefect, or Airflow.
Culture & Benefits
- 100% remote work environment with a global, collaborative culture.
- Ownership in company success through Restricted Stock Units (RSUs).
- Generous annual leave policy of 30 days, including company shutdown days.
- High-trust, low-ego culture that prioritizes autonomy and outcomes over optics.
- In-person onboarding to integrate new team members effectively.
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