Senior AI Engineer Jobs

Apollo.io

Location:
Canada; United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

160000.00 - 260000.00 USD / Year

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Job Description:

As a Senior AI Engineer on our AI Engineering team, you will be responsible for building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You'll work on critical Apollo capabilities including our AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features that directly impact millions of users' productivity. The mission of our AI teams is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize every stage of the customer journey through intelligent automation.

Job Responsibility:

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

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
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Testing & Evaluation: Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics
A/B Testing: Understanding of experimental design for AI system optimization
Monitoring & Reliability: Experience with production monitoring, alerting, and debugging complex AI systems
Data Pipeline Management: Experience building and maintaining scalable data pipelines that power AI systems

Nice to have:

Production-First Mindset: You've built AI systems that real users depend on, not just demos or research projects
You understand the difference between a working prototype and a production-ready system
You have experience with user feedback, iterative improvements, and feedback systems
Technical Depth with Business Impact: You can design end-to-end systems, including back-end systems, asynchronous workflows, LLMs, and agentic systems
You understand the cost-benefit trade-offs of different AI approaches
You've made decisions about when to use different LLM providers, fine-tuning vs prompting, and architecture choices
Evaluation & Quality Excellence: You implement repeatable, quantifiable evaluation methodologies
You track performance across iterations and can explain what makes systems successful
You prioritize safety, reliability, and user experience alongside capability
Adaptability & Learning: You stay current with the rapidly evolving LLM landscape
You can quickly adapt to new models, frameworks, and techniques
You're comfortable working in ambiguous problem spaces and breaking down complex challenges

What we offer:

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and 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

Additional Information:

Job Posted:
December 06, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Senior AI Engineer