Staff AI Engineer, Apollo.io
$200-280k
AI sales platform for smarter, faster revenue growth
Open for applications
AI sales platform for smarter, faster revenue growth
1001+ employees
Open for applications
$200-280k
1001+ employees
Company mission
To build the future of go-to-market solutions.
Role
Who you are
- 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
- 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
- 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
- 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
- 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 the job involves
- As a Staff 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
- Agent Architecture & Implementation: Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows
- Context Management: Develop systems that maintain conversational context across complex multi-turn interactions
- LLM and Agentic Platforms: Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem
- Backend Systems: Build back-end systems necessary to support the agents
- AI features: Conversational AI, Natural Language Search, Personalized Email Generation and similar AI features
- Search Scoring & Ranking: Develop and improve recommendation systems and search relevance algorithms
- Entity Extraction: Build models for automatic company keywords, people keywords, and industry classification
- Lookalike & Recommendation Systems: Create intelligent matching and suggestion engines
- 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
Our take
Today, businesses are struggling to make their go-to-market (GTM) strategies simple, connected, and intelligent. In most organizations, sales and marketing teams juggle a maze of disconnected tools just to reach the right customers and close deals. This results in a lot of manual work and missed opportunities. So Apollo.io is stepping in to fill the gap and redefine how modern revenue teams operate by unifying the entire GTM process under one AI-powered roof.
It's trusted by millions of users and over 550,000 companies, including fast-growing startups to established enterprises like Autodesk and Cyera. Apollo's strength lies in combining B2B data with advanced AI to automate everything from prospecting and outreach to deal management and data enrichment. And its new "Agentic End-to-End GTM Platform" takes this one step further by introducing AI agents that act as co-pilots, working alongside sales and marketing teams to research leads, personalize outreach, and streamline workflows.
Recently, the company surpassed $100M in annual recurring revenue, expanding its leadership team with veterans from Zendesk, Intercom, Box, and Miro, and even launched a major product overhaul centered on its new "Vibe GTM" approach. And with its Agentic platform now bringing AI into every stage of the customer journey, Apollo sure is positioning itself to define the next era of AI-powered sales.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
75% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2023
$100m
SERIES D
Mar 2022
$110m
SERIES C
Total funding: $251.4m
Company benefits
- Remote & in-person roles: Work from wherever you thrive, with all the tools and support you need to be successful.
- Flexible time off: We don't count vacation days. When you need a break, take it — no strings attached.
- Competitive pay: We offer strong salaries, performance bonuses, and equity opportunities for most roles.
- Global healthcare coverage: Medical, dental, and vision benefits are available in the US, Canada, India, and other supported countries.
- Office and learning stipend: Get support for your growth with stipends for books, courses, and home office setup.
- Mental health and coaching support: Access professional coaching and mental health resources for you and your dependents.
Company HQ
SoMa, San Francisco, CA
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