This is a remote position.
About ATQLeads
ATQLeads helps B2B small and mid-sized companies transform outdated go-to-market operations into scalable intelligent revenue-producing systems. We believe the future of growth belongs to organizations that can combine AI automation and human expertise to build adaptive efficient data-driven commercial engines.
We design and deploy end-to-end automation systems AI agents and integrated workflows that modernize sales marketing and operations. If you enjoy building AI-powered tools automating complex processes and embedding intelligent agents into real business environments you will thrive here.
Role Overview
The AI Automation Engineer builds the AI agents automations and intelligent systems that power our clients next-generation business workflows. You will design architect and implement LLM-powered solutions that run autonomously or semi-autonomously inside CRM platforms outbound systems operational tools and internal processes.
This role blends engineering problem-solving AI application development and business understanding. You will work closely with our go-to-market operations and product teams to turn business objectives into scalable AI-driven workflows and tools.
You are the technical architect who brings AI from concept to production.
What You Will Do
AI Agent Development
Build deploy and maintain AI agents using LLMs agent frameworks and orchestration systems
Develop agents capable of multi-step reasoning data retrieval task automation and contextual decision-making
Implement tools functions and APIs that expand agent capabilities
Build retrieval-augmented generation (RAG) systems using vector databases
Optimize prompts memory context handling and task routing for performance and accuracy
Automation & Integration
Embed AI agents into existing business workflows across sales marketing and operations
Connect LLM logic to CRM platforms databases outbound systems analytics tools and internal data sources
Build automations using Python JavaScript TypeScript Make n8n and similar tools
Integrate APIs webhooks and data pipelines to support dynamic agent behavior
Develop continuous processes for evaluation monitoring and improvement of AI workflows
System Architecture
Design scalable architectures for agent orchestration workflow automation and data retrieval
Build ETL pipelines that support AI enrichment personalization and decision-making
Ensure system reliability resilience and maintainability as usage scales
Cross-Functional Collaboration
Translate business requirements into AI workflows and automated processes
Work directly with sales marketing operations and leadership to identify opportunities for automation
Document systems thoroughly and ensure smooth handoff to internal users and clients
Strategic and Creative Work
Identify opportunities to replace or augment manual workflows with intelligent automation
Propose net-new AI-driven solutions that accelerate revenue efficiency or customer experience
Experiment rapidly prototype frequently and iterate based on performance data
You Will Thrive in This Role If You
Have Strong Technical Foundations
Proficient in Python and JavaScript or TypeScript
Comfortable with APIs webhooks JSON and structured data
Able to use automation tools such as Make n8n Zapier Retool
Experienced in building data workflows and integrations
Are Skilled in AI Application Development
Able to build LLM-powered automations and workflows
Understand prompt engineering RAG vector databases and agent frameworks
Experienced with OpenAI Anthropic or similar model providers
Capable of evaluating and monitoring agent performance
Think in Systems and Understand Business Workflows
Comfortable mapping processes and identifying automation opportunities
Able to embed AI in CRM outbound customer success and operational workflows
Think critically about accuracy reliability edge cases and long-term scalability
Communicate Clearly and Collaborate Across Teams
Able to explain technical concepts to non-technical stakeholders
Comfortable working directly with sales marketing and operations teams
Detail-oriented with strong project management skills
Requirements
Requirements
25 years of experience in automation engineering AI development or similar technical roles
Strong proficiency in Python JavaScript or TypeScript
Experience building LLM-powered tools AI agents or autonomous workflows
Familiarity with automation platforms such as Make n8n or Zapier
Experience integrating APIs CRMs and third-party tools
Strong analytical problem-solving and communication skills
Ability to operate independently make decisions and iterate rapidly
Bonus Skills
Experience with LangChain LlamaIndex Haystack or similar frameworks
Knowledge of vector databases such as Pinecone Weaviate Chroma or Milvus
Experience with ETL pipelines data modeling or analytics engineering
Background in RevOps sales automation or marketing automation
Startup or agency experience
Requirements 25 years of experience in growth engineering revops sales engineering automation engineering or similar GTM-technology hybrid roles Strong proficiency in Python JavaScript SQL or equivalent scripting languages Experience building automations integrations or internal tools Familiarity with CRM systems such as HubSpot Zoho or Salesforce as well as enrichment tools and outbound platforms Strong communication and cross-functional collaboration skills Ability to move quickly prioritize effectively and operate with ownership Bonus Experience building LLM-powered workflows or using APIs such as OpenAI Startup or agency experience Experience with growth tools such as Clay Apollo Clearbit Make or n8n
Bachelors degree in Computer Science Engineering Information Systems Data Science or a related practical experience in automation engineering AI development or technical system building will also be considered.