Staff AI Engineer

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Artificial Intelligence, Go-to-Market SolutionsIndustries

Requirements

Candidates should have experience building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. Experience with agent architecture, implementation, context management, and building scalable LLM and agentic platforms is required. Familiarity with backend systems supporting agents, conversational AI, natural language search, personalized email generation, and classical AI/ML techniques like search scoring, ranking, entity extraction, and recommendation systems is also needed.

Responsibilities

The Staff AI Engineer will be responsible for building and productionizing advanced AI systems, including AI Assistant and Autonomous AI Agents. They will develop sophisticated multi-agent systems capable of reasoning, planning, and executing complex sales workflows, as well as systems for maintaining conversational context across multi-turn interactions. This role involves building scalable LLM and agentic platforms to enable agent development within the Apollo ecosystem and creating backend systems to support these agents. Additionally, the engineer will work on AI features such as conversational AI, natural language search, personalized email generation, and potentially classical AI/ML tasks like search scoring, entity extraction, and recommendation systems.

Skills

Machine Learning

Deep Learning

Python

Cloud Platforms (AWS, GCP, Azure)

Data Engineering

Software Development

Large Language Models (LLMs)

MLOps

Apollo.io

Sales intelligence and engagement platform

About Apollo.io

Apollo.io provides a platform designed to enhance sales processes and improve outreach for businesses. Its main features include prospecting intelligence, which helps users identify and research potential leads, and enrichment job change alerts that keep databases accurate with extensive data points. The platform also offers sales engagement analytics, allowing users to create multi-channel outreach sequences. Additionally, Apollo.io supports API integrations for data enrichment and custom workflows. Unlike many competitors, Apollo.io focuses on a subscription-based model that offers various pricing tiers, catering to both small businesses and large enterprises. The company's goal is to optimize sales strategies and increase revenue for its clients while ensuring data privacy and security through compliance with industry standards.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$244.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, CybersecurityIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Spending Account (FSA)

Health Savings Account (HSA)

Financial Planning

Risks

Rapid growth may strain Apollo.io's operational capabilities and customer service.

New executive hires could lead to strategic shifts misaligned with customer expectations.

Emerging competitors like Zitadel may challenge Apollo.io's market position.

Differentiation

Apollo.io offers verified contact data for over 210 million B2B contacts.

The platform integrates sales intelligence with engagement tools in one unified solution.

Apollo.io's compliance with ISO, SOC 2, and GDPR ensures high data security standards.

Upsides

Apollo.io ranked 125 on the 2024 Deloitte Technology Fast 500 with 954% growth.

The company raised $250 million, reaching a valuation of $1.6 billion.

Apollo.io's multi-channel outreach aligns with rising sales engagement trends.

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