Senior AI Engineer

ESP Engineered; Pune District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

ESP Engineered is looking for a Senior AI/Data Engineer to architect AI agents that optimize revenue operations for sales and customer success teams. Candidates should have over 5 years of experience with Gen AI frameworks and strong skills in Python or Java. The role involves building intelligent agents, integrating with Salesforce, and ensuring transparency in operations through observability tools. This position offers the opportunity to influence the future of AI in customer journey management.

Qualifications

• 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.

Responsibilities

• Build AI agents using LangChain, LlamaIndex, and Python/Java to automate deal qualification.
• Design agents that provide role−specific insights while integrating with tools like Salesforce.
• Implement tracing, logging, and monitoring for agent decisions to ensure transparency.

Skills

Gen AI frameworks

LLM fine-tuning

Agentic architectures

Python

Java

AWS

GCP

Containerized microservices

Education

BS/MS in Computer Science, Data Science, or related fields

Job description

Full-Time

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.

Role Overview

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

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

Education : BS/MS in Computer Science, Data Science, or related fields

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