AI Automation Engineer at atqleads

This is a remote position.About ATQLeads ATQLeads helps B2B small and mid-sized companies transform outdated go-to-market operations into scalable intelligent revenue-producing systems.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 RequirementsRequirements 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 Benefits Benefits: Company shares Unlimited PTOs Fully remote work environment Why ATQLeads Build cutting-edge AI agents and automation systems used by growing companies Work directly with founders GTM leaders and product teams Fast-moving environment with high ownership and flexibility Remote-first culture with autonomy and creativity Opportunity to shape the future of AI-enabled go-to-market operations If you want to build meaningful AI systems ship innovative automations and help shape the future of intelligent business operations this role is for you. Required Skills: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 n8nRequired Education: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. Key Skills Continuous Integration,APIs,Automotive software,Test Cases,Electrical Engineering,Junit,Distributed Control Systems,Testng,Java,Test Automation,Programmable Logic Controllers,Selenium Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 4000 - 4000