Principal AI Engineer

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Artificial Intelligence, Sales Technology, Marketing TechnologyIndustries

Requirements

The ideal candidate will possess over 10 years of software engineering experience, with a minimum of 3 years specifically in applied LLM or agentic AI systems, demonstrating proven success in deploying LLM-powered products at scale. Strong backend and systems engineering expertise in Python, distributed systems, and scalable APIs is essential, along with familiarity with orchestration frameworks like LangChain or LlamaIndex. Experience with RAG pipelines, vector databases, embedding models, and semantic search tuning is also required.

Responsibilities

The Principal AI Engineer will lead the design and deployment of cutting-edge agentic systems, AI assistants, and LLM-powered features, owning the architecture and productionization of intelligent systems. This includes architecting and leading the development of autonomous AI agents capable of long-horizon planning, reasoning, and API orchestration, as well as building reusable agentic components for workflow automation. The role also involves owning and evolving the in-house platform for scalable LLM and agent deployments, leading the design of conversational AI and UI powered by NLU and RAG, and building semantic and personalized search systems. Additionally, the engineer will drive innovation in personalized outreach generation using context-aware generation pipelines and optimize inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance, while defining and driving robust evaluation methodologies and architecting human-in-the-loop systems.

Skills

Agentic Systems

LLM

SaaS

Architecture

Productionization

Intelligent Systems

Go-to-Market

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