The Role
Architect and build autonomous AI agents for revenue operations: develop agentic systems using LangChain/LlamaIndex, implement RAG and prompt engineering, integrate with Salesforce and cloud services, optimize LLM inference, and add observability and scalable deployments to drive predictive sales and customer success automation.
Summary Generated by Built In
Senior AI/Data Engineer - Autonomous Agentic Systems
MaxIQ is building the industry’s first revenue AI platform that transforms how B2B SaaS companies manage customer journeys. Join us to pioneer autonomous agentic systems that empower sales teams with predictive insights and intelligent automation.
You’ll architect AI agents that autonomously optimize revenue operations for sales, customer success, and RevOps teams.
These agents will replace fragmented workflows with predictive guidance, real-time customer journey analysis, and context- aware automation. Your work will directly contribute to MaxIQ’s mission of turning customer interactions into predictable revenue engines
- Autonomous Agent Development: Build AI agents using LangChain, LlamaIndex, and Python/Java to automate deal qualification, churn prediction, provide valuable insights and calculate customer health scoring
- Sales Intelligence Augmentation: Design agents that provide role-specific insights (e.g., deal guidance for AEs, renewal alerts for CSMs) while integrating with tools like Salesforce
- Prompt Engineering & RAG: Evolve chat-based assistants into autonomous systems using retrieval-augmented generation and real-time data pipelines.
- Observability Stack: Implement tracing, logging, and monitoring for agent decisions to ensure transparency in revenue-critical operations
- Scalable Inference: Optimize LLM performance for high-throughput environments using quantization, model pruning, and cloud-native deployment
Education: BS/MS in Computer Science, Data Science, or related fields
- 5+ years with Gen AI frameworks, LLM fine-tuning, and agentic architectures
- Expertise in Python/Java, AWS/GCP, and containerized microservices
- Experience building observability into AI agents is a plus
- Passion for solving complex revenue operations challenges in B2B SaaS
- Startup mindset – thrives in fast-paced environments with high ownership
- Category-Defining Product: Shape the future of AI- powered customer journey management
- Agentic AI Focus: Work on cutting-edge autonomous systems that process millions of customer interactions daily
- Global Impact: Deploy solutions used by enterprises to drive reductions in sales cycle times and higher customer lifetime value
Skills Required
- BS/MS in Computer Science, Data Science, or related field
- 5+ years with generative AI frameworks, LLM fine-tuning, and agentic architectures
- Expertise in Python and Java
- Experience with AWS or GCP
- Experience building containerized microservices (Docker, Kubernetes)
- Experience with LangChain and LlamaIndex
- Prompt engineering and Retrieval-Augmented Generation (RAG) experience
- Experience optimizing LLM inference (quantization, model pruning) and cloud-native deployment
- Experience integrating AI systems with Salesforce or similar CRM
- Experience building observability (tracing, logging, monitoring) for AI agents
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The Company
What We Do
MaxIQ is an AI-native revenue intelligence platform designed for B2B SaaS companies. It focuses on customer journey management, helping revenue teams—including Sales, Customer Success, and RevOps—improve forecasting, pipeline visibility, and revenue execution from acquisition to optimization. As a pioneer in agentic AI-driven platforms, MaxIQ aims to maximize customer lifetime value and drive predictable growth for enterprise customers.
