Apollo.io-posted 3 months ago
$200,000 - $280,000/Yr
501-1,000 employees

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides an end-to-end go-to-market platform that enables sales and marketing teams to source prospects from our database of 210 million B2B contacts and 35 million companies, execute personalized email outreach campaigns, automate booking flows, and manage deals—all within one unified platform. Apollo raised a Series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
  • Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics
  • Understanding of experimental design for AI system optimization
  • Experience with production monitoring, alerting, and debugging complex AI systems
  • Experience building and maintaining scalable data pipelines that power AI systems
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • At least 10 paid holidays per year
  • Flex PTO
  • Parental leave
  • Employee assistance program and wellbeing benefits
  • Global travel coverage
  • Life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
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