AI/ML Engineer Python & Agentic AI Systems

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 & rolepart 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 stackincluding HubSpot/Salesforce, 6sense, and Google Analyticsensuring seamless data ow and automated write-backs to the CRM. Qualications & Skills Experience: 5+ years (senior level) in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine. AI Tooling: Prociency 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 companys 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 eet of autonomous Sales Agents that perform end-to-end prospecting, qualication, and meeting scheduling. Unlike traditional Sales Ops, you won't just build workows; you will build reasoning systems that research prospects, handle objections, and manage their own "inboxes & to deliver qualied meetings to our SEs. This is a remote role with the option to work anywhere in NA. Key Responsibilities Autonomous Lead Qualication: Design agents to "vet" inbound leads by querying external data sources and internal CRM history to determine if they meet our Ideal Customer Prole (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. Qualications 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. Compensation: 3,000,000.00 - 5,000,000.00 per year Benefits: Work from home 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 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 & rolepart Engineer, part Strategist, part Data Scientist.This is a remote role with the option to work anywhere in NA. Co