Staff AI Engineer

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September 11

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Apollo.io

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B2B • SaaS • Artificial Intelligence

Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Build and productionize advanced AI systems powered by LLMs and intelligent agents, including AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation • Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows • Develop systems that maintain conversational context across complex multi-turn interactions • Build scalable large language model and agentic platforms to enable agent development across Apollo ecosystem • Design and deploy production LLM systems with high availability and performance requirements • Create sophisticated AI agents that chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows • Develop and optimize prompting strategies and implement advanced prompting techniques • Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services • Implement evaluation frameworks, A/B testing, and monitoring systems for accuracy, safety, and reliability • Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios • Collaborate with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

🎯 Requirements

• 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 (A/B testing) • Experience with production monitoring, alerting, and debugging complex AI systems • Experience building and maintaining scalable data pipelines that power AI systems

🏖️ Benefits

• 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.