Senior AI Engineer
Location: Pune, India; Raleigh, United States; SF, United States
Department: Engineering
Experience: 5+ years
Role Overview
Key Responsibilities
- 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
Qualifications
Technical Skills:
- 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
Cultural Fit:
- Passion for solving complex revenue operations challenges in B2B SaaS
- Startup mindset – thrives in fast-paced environments with high ownership
Why MaxIQ?
- 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
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