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Apollo.io Logo Apollo.io · IT - Software Development

Staff AI Engineer

India · Job Posted December 06, 2025
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Job Description

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.

Job Responsibility

  • Design and Deploy Production LLM Systems
  • Agent Development
  • Prompt Engineering Excellence
  • System Integration
  • Evaluation & Quality Assurance
  • Performance Optimization
  • Cross-functional Collaboration

Requirements

  • 10+ 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
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
  • Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics
  • Understanding of experimental design for AI system optimization
  • Experience with production monitoring, alerting, and debugging complex AI systems
  • Experience building and maintaining scalable data pipelines that power AI systems

Nice to have

  • Production-First Mindset
  • Technical Depth with Business Impact
  • Evaluation & Quality Excellence
  • Adaptability & Learning
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