Staff AI Engineer Role

New

Skills

A/b Testing Architecture AWS Azure Data Pipeline Management Distributed systems Engineer LangChain Prompt Engineering Python

Apollo.io is seeking a Staff AI Engineer to join our remote-first team and drive innovation in AI-powered productivity solutions for sales and marketing teams. As an AI-native company serving over 500,000 businesses globally, we are committed to building advanced Large Language Model (LLM) applications and intelligent agents that redefine the go-to-market experience for millions of users. You'll work on state-of-the-art AI systems, impacting real customers and shaping the future of automated revenue workflows.

Job Overview

As a Staff AI Engineer, you will be responsible for designing, building, and productionizing scalable AI systems using LLMs and multi-agent architectures. You will collaborate cross-functionally to deliver innovative AI features—such as AI Assistants, Autonomous Agents, Semantic Search, and Personalized Automation—while ensuring reliability, performance, and user-centric outcomes. This is a fully remote position within a culture that values bold ideas, operational excellence, and continuous learning.

Key Responsibilities

Design and implement advanced multi-agent AI systems to automate complex sales workflows and customer journeys.
Develop, deploy, and optimize production LLM applications, including conversational assistants and deep research agents.
Engineer scalable backend systems and data pipelines supporting high-availability AI features for millions of users.
Integrate AI capabilities with Apollo's infrastructure and external APIs, ensuring seamless system interoperability.
Establish robust evaluation, monitoring, and A/B testing frameworks to guarantee accuracy, safety, and reliability of AI systems.

Required Skills & Qualifications

8+ years of software engineering experience with a focus on production systems.
1.5+ years of hands-on experience building real-world LLM applications (e.g., GPT, Claude, Llama).
Expert proficiency in Python and experience with AI/LLM frameworks like LangChain or LlamaIndex.
Strong background in backend engineering, API integration, and distributed architectures.
Proven ability to build, deploy, and maintain scalable AI solutions in cloud environments (AWS, GCP, Azure).
Deep understanding of prompt engineering strategies, few-shot learning, and LLM optimization techniques.
Experience with production monitoring, evaluation frameworks, and A/B testing for AI systems.
Excellent collaboration skills and the ability to translate business requirements into impactful technical solutions.
Commitment to safety, reliability, and delivering exceptional user experiences.
Up-to-date knowledge of the evolving LLM and AI landscape.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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