Role - AI/ML Engineer – Python & Agentic AI Systems
Experience - 5+ years
Location- Remote
Job Description:
As our Marketing AI Agent Builder, you will be the lead architect for our "agentic & marketing stack. Your goal is to move beyond simple automation (if-this-then-that) toward autonomous systems that reason through marketing data, execute multi-channel campaigns, and self-correct based on performance. This is a Builder & role—part Engineer, part Strategist, part Data Scientist.This is a remote role with the option to work anywhere in NA.
Core Responsibilities
● Intelligent Research & Segmentation: Deploy agents to crawl the web for intent signals (hiring changes, funding, news) to dynamically update ICP segments and enrich CRM records in real-time.
● Autonomous Campaign Management: Build agents that independently monitor live campaigns (Search, Social, Email) and autonomously reallocate budgets or pause underperforming creatives based on real-time ROI.
● Dynamic Lead Nurturing: Design agents that use Natural Language Processing (NLP) to "read" prospect behavior and trigger personalized, multi- step nurture sequences without manual intervention.
● Performance & Guardrails: Establish "human-in-the-loop" protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards.
● System Orchestration: Connect AI agents to our core stack—including HubSpot/Salesforce, 6sense, and Google Analytics—ensuring seamless data flow and automated write-backs to the CRM.
Qualifications & Skills
● Experience: 5+ years (senior level) in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine.
● AI Tooling: Proficiency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX)
● Agent Orchestration: Experience with low-code/no-code platforms (e.g., Clay, Zapier Central, Make.com) or code-based frameworks (e.g., LangGraph, CrewAI).
● Prompt Engineering: Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output.
● Data Savvy: Comfortable working with JSON, APIs, and RAG (Retrieval-Augmented Generation) to feed agents the right context from your company’s internal knowledge base.
● Marketing Expertise: Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.
Sales AI Agent Builder
Role Overview
You will architect and manage a fleet of autonomous Sales Agents that perform end-to-end prospecting, qualification, and meeting scheduling. Unlike traditional Sales Ops, you won't just build workflows; you will build reasoning systems that research prospects, handle objections, and manage their own "inboxes & to deliver qualified meetings to our SEs. This is a remote role with the option to work anywhere in NA.
Key Responsibilities
● Autonomous Lead Qualification: Design agents to "vet" inbound leads by querying external data sources and internal CRM history to determine if they meet our Ideal Customer Profile (ICP).
● Inbox Management & Objection Handling: Deploy agents (using LLMs like GPT-4o or Claude) that can read incoming emails, categorize intent, and draft/send context-aware replies to handle common objections.
● Live Sales Assistant (RAG): Build a "Sales Knowledge Base" using Retrieval-Augmented Generation (RAG) so agents can instantly reference case studies, pricing, and competitor battlecards during autonomous chats.
● CRM Data Integrity: Ensure agents "write back" all interactions to Salesforce/HubSpot, keeping data clean and attribution accurate without rep intervention.
Qualifications
● Experience: 4+ years in Growth or Solutions Engineering in a B2B SaaS environment.
● AI Tooling: Experience with "Agent-as-a-Service" platforms (e.g., 11x, Regie.ai, Lyzr) or building custom agents via LangChain / LangGraph
.● Sales Stack Mastery: Deep expertise in Salesforce/HubSpot, Salesloft/Outreach, and data providers like ZoomInfo or 6sense.
● Analytical Rigor: Ability to A/B test agent prompts and "reasoning loops" to improve meeting-set rates.
Pay: ₹3,000,000.00 - ₹5,000,000.00 per year
Benefits:
Application Question(s):
- What is your notice period?
Experience:
- Python: 5 years (Required)
- Machine learning: 4 years (Required)
- Agent builder: 2 years (Required)
Work Location: Remote
