DevOps Engineer | SDE - 1 | SDE - 2
Role: Senior AI Engineer
Function: Engineering
Location: Remote
Type: Full-time
Compensation: Competitive compensation and equity participation
Industry: Human Resources Technology
About Company
A global HR platform that simplifies international hiring and workforce management for companies building distributed teams. The company serves as an Employer of Record (EOR) across 140+ countries.
It streamlines processes like payroll, benefits, taxes, and compliance through a centralized system. The platform caters to startups and enterprises looking to scale global teams efficiently.
Position Overview
You'll architect sophisticated multi-agent systems and production-scale LLM integrations that power a global HR platform serving 140+ countries. You'll lead the development of cutting-edge agentic AI solutions that automate complex HR workflows at enterprise scale. Your work will directly impact how companies expand globally and manage distributed teams through AI-powered automation.
Role & Responsibilities
- You architect complex agentic AI systems with multi-agent orchestration for automated HR workflows
- You design advanced RAG systems with sophisticated retrieval strategies and context management
- You build production-grade LLM integrations handling millions of API calls with optimal performance
- You develop AI agents with reasoning capabilities, tool usage, and autonomous decision-making
- You implement cutting-edge prompt engineering and chain-of-thought techniques
- You lead AI system architecture for scalability, reliability, and performance optimization
Must Have Criteria
- 4-8 years AI/ML engineering with 2+ years focused on agentic AI systems
- Proven experience building multi-agent systems using CrewAI, AutoGen, or LangGraph
- Deep experience with LLM APIs (OpenAI, Anthropic, Google) including function calling
- Expert-level production RAG systems with vector databases (Pinecone, Weaviate, Chroma)
- Hands-on agentic workflows: planning, tool usage, memory management, error handling
- Strong Python proficiency with LangChain, LlamaIndex, or custom agent frameworks
- Experience scaling AI SaaS products to 10K+ users with monitoring and observability
Nice to Have
- Experience with Model Context Protocol (MCP) and advanced agent communication
- Multi-modal agentic systems combining text, vision, and voice capabilities
- AI safety patterns: guardrails, content filtering, and responsible AI deployment
- Open source contributions to agentic AI frameworks or published research
What We Offer
- Fully remote work with flexible hours across global time zones
- Opportunity to work on cutting-edge agentic AI solutions at enterprise scale
- Direct impact on product development in a fast-growing startup environment
- Competitive compensation and equity participation
- Learning and development budget for AI conferences and courses
FAQs
Are there any additional costs for payroll processing in multiple countries?
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