Lead AI Engineer – Autonomous Sales AI Agents

About the role

Blend is looking for a Lead AI Engineer to design and manage autonomous AI agents that automate the entire sales lifecycle, from lead qualification to meeting scheduling and customer engagement. You will work at the intersection of AI, data science, and marketing technology to create intelligent systems that enhance CRM data and support sales teams.

Key responsibilities

• Design, build, and deploy autonomous AI agents for marketing operations and demand generation.
• Develop research agents that capture intent signals, company news, funding events, hiring trends, and other market insights.
• Create AI‑powered campaign management tools that monitor and optimize paid media, email, and social campaigns in real time.
• Build dynamic lead‑nurturing workflows using NLP and large language models to personalize prospect engagement.
• Implement human‑in‑the‑loop evaluation frameworks to ensure outputs meet brand voice, quality, and security standards.
• Integrate AI agents with platforms such as HubSpot, Salesforce, 6sense, Google Analytics, and other MarTech tools.
• Design scalable prompt‑engineering strategies to improve reasoning accuracy and reduce hallucinations.
• Develop AI workflows using APIs, JSON, and Retrieval‑Augmented Generation (RAG) architectures.
• Continuously evaluate campaign performance and optimize agents for maximum ROI.
• Collaborate with cross‑functional teams to identify automation opportunities across the customer acquisition funnel.

Required profile

• 2–4 years of experience in Growth Engineering, Marketing Engineering, Marketing Automation, or related technical roles.
• Proven experience building AI‑powered workflows or autonomous agents.
• Familiarity with agent orchestration frameworks such as LangGraph, CrewAI, or similar.
• Experience with low‑code/no‑code automation platforms (Zapier, Make.com, Clay, or equivalents).
• Strong understanding of prompt engineering and LLM‑based applications.
• Hands‑on experience with APIs, JSON, and RAG architectures.
• Knowledge of B2B marketing, buyer journeys, demand generation, and attribution models.
• Experience integrating AI solutions with CRM and marketing platforms.
• Strong analytical, problem‑solving, and communication skills.

Required skills

• LangGraph or CrewAI (or similar orchestration frameworks)
• Zapier, Make.com, Clay (low‑code/no‑code platforms)
• Prompt engineering
• Large language models (LLMs)
• APIs
• JSON
• Retrieval‑Augmented Generation (RAG)
• HubSpot
• Salesforce
• 6sense
• Google Analytics