
On-Site
Full-Time
Pune, Maharashtra
India
About the Role
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.
Role Overvie
wYou’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 engine
s
Key Responsibiliti
esAutonomous Agent Development: Build AI agents using LangChain, LlamaIndex, and Python/Java to automate deal qualification, churn prediction, provide valuable insights and calculate customer health scori
ngSales Intelligence Augmentation: Design agents that provide role-specific insights (e.g., deal guidance for AEs, renewal alerts for CSMs) while integrating with tools like Salesfor
cePrompt Engineering & RAG: Evolve chat-based assistants into autonomous systems using retrieval-augmented generation and real-time data pipeline
s.Observability Stack: Implement tracing, logging, and monitoring for agent decisions to ensure transparency in revenue-critical operatio
nsScalable Inference: Optimize LLM performance for high-throughput environments using quantization, model pruning, and cloud-native deployme
nt
Qualificati
onsEducation: BS/MS in Computer Science, Data Science, or related fie
lds
Technical Ski
lls:5+ years with Gen AI frameworks, LLM fine-tuning, and agentic architect
uresExpertise in Python/Java, AWS/GCP, and containerized microserv
icesExperience building observability into AI agents is a
plus
Cultural
Fit:Passion for solving complex revenue operations challenges in B2B
SaaSStartup mindset – thrives in fast-paced environments with high owne
rship
Why
MaxIQ?Category-Defining Product: Shape the future of AI- powered customer journey mana
gementAgentic AI Focus: Work on cutting-edge autonomous systems that process millions of customer interactions
dailyGlobal Impact: Deploy solutions used by enterprises to drive reductions in sales cycle times and higher customer lifetime
value
Role Overvie
wYou’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 engine
s
Key Responsibiliti
esAutonomous Agent Development: Build AI agents using LangChain, LlamaIndex, and Python/Java to automate deal qualification, churn prediction, provide valuable insights and calculate customer health scori
ngSales Intelligence Augmentation: Design agents that provide role-specific insights (e.g., deal guidance for AEs, renewal alerts for CSMs) while integrating with tools like Salesfor
cePrompt Engineering & RAG: Evolve chat-based assistants into autonomous systems using retrieval-augmented generation and real-time data pipeline
s.Observability Stack: Implement tracing, logging, and monitoring for agent decisions to ensure transparency in revenue-critical operatio
nsScalable Inference: Optimize LLM performance for high-throughput environments using quantization, model pruning, and cloud-native deployme
nt
Qualificati
onsEducation: BS/MS in Computer Science, Data Science, or related fie
lds
Technical Ski
lls:5+ years with Gen AI frameworks, LLM fine-tuning, and agentic architect
uresExpertise in Python/Java, AWS/GCP, and containerized microserv
icesExperience building observability into AI agents is a
plus
Cultural
Fit:Passion for solving complex revenue operations challenges in B2B
SaaSStartup mindset – thrives in fast-paced environments with high owne
rship
Why
MaxIQ?Category-Defining Product: Shape the future of AI- powered customer journey mana
gementAgentic AI Focus: Work on cutting-edge autonomous systems that process millions of customer interactions
dailyGlobal Impact: Deploy solutions used by enterprises to drive reductions in sales cycle times and higher customer lifetime
value