AI Automation Engineer - Job Description (JD)Job TitleAI Automation EngineerJob SummaryWe are seeking an innovative AI Automation Engineer to design, develop, and maintain intelligent automation solutions powered by Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA). The ideal candidate will build AI-driven workflows, automate business processes, integrate Large Language Models (LLMs), and optimize operational efficiency using modern automation frameworks and cloud technologies.
Key ResponsibilitiesDesign and develop AI-powered automation solutions for business processes.Build intelligent workflows using AI agents, LLMs, and automation platforms.Develop and maintain automation scripts for web, desktop, and API applications.Integrate AI services (OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, etc.) into enterprise applications.Automate repetitive business tasks using RPA tools.Develop RESTful APIs and integrate third-party services.Implement prompt engineering and Retrieval-Augmented Generation (RAG) solutions.Build AI chatbots, virtual assistants, and workflow automation.Monitor, troubleshoot, and optimize automation pipelines.Collaborate with Product Managers, QA, Data Engineers, and DevOps teams.Ensure security, scalability, and compliance in AI applications.Maintain technical documentation and automation standards.
Required SkillsAI & Machine LearningArtificial Intelligence fundamentalsLarge Language Models (LLMs)Prompt EngineeringGenerative AIAI AgentsRetrieval-Augmented Generation (RAG)Vector DatabasesNLP (Natural Language Processing)Machine Learning basicsProgramming LanguagesPython (Preferred)JavaJavaScript/TypeScriptC#SQLAI Frameworks & LibrariesLangChainLlamaIndexHugging Face TransformersOpenAI SDKAzure OpenAIGoogle Vertex AIAnthropic Claude APIsTensorFlow (basic knowledge)PyTorch (basic knowledge)Automation ToolsSeleniumPlaywrightUiPathAutomation AnywhereMicrosoft Power AutomateApache Airflown8nZapierMake (Integromat)Backend DevelopmentREST APIsGraphQLFastAPIFlaskNode.jsSpring Boot (optional)DatabasesPostgreSQLMySQLMongoDBRedisPineconeWeaviateChromaDBFAISSCloud & DevOpsAWSMicrosoft AzureGoogle Cloud Platform (GCP)DockerKubernetesJenkinsGitHub ActionsGitLab CI/CDTerraform (preferred)Testing & QualityUnit TestingIntegration TestingAPI TestingPerformance TestingSecurity TestingLogging & Monitoring
Preferred QualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.2-6+ years of software development, automation, or AI engineering experience.Experience developing AI-powered applications in production.Knowledge of prompt engineering, RAG, and AI orchestration frameworks.Familiarity with cloud-native AI services.Experience integrating AI into enterprise workflows.
Preferred Tools & TechnologiesOpenAI GPT modelsAzure OpenAIGoogle GeminiAnthropic ClaudeLangGraphCrewAIAutoGenMCP (Model Context Protocol)OllamaDockerKubernetesGitPostmanSwagger/OpenAPI
Soft SkillsStrong analytical and problem-solving skills.Excellent communication and collaboration.Ability to work in Agile/Scrum environments.Curiosity and willingness to learn emerging AI technologies.Strong debugging and troubleshooting skills.Attention to detail.
Nice to HaveMulti-agent AI systemsAI-powered test automationComputer VisionOCR solutionsMLOpsEvent-driven architecturesWorkflow orchestrationKnowledge GraphsEdge AILow-code/No-code automation platforms
Sample Project ResponsibilitiesBuild AI-powered customer support chatbots.Automate document processing using OCR and LLMs.Develop AI agents for HR, recruitment, finance, or IT operations.Create RAG-based enterprise knowledge assistants.Build AI-driven workflow automation for CRM and ERP systems.Integrate AI services into existing enterprise applications.Automate software testing using AI-assisted frameworks.
Interview QuestionsWhat is Prompt Engineering, and why is it important?Explain the difference between RAG and fine-tuning.How would you build an AI agent using LangChain or CrewAI?What are vector databases, and when would you use them?How do LLMs differ from traditional machine learning models?How would you integrate an LLM into an existing web application?Explain REST API integration with an AI service.How would you secure an AI-powered application'Describe a CI/CD pipeline for deploying AI automation solutions.How would you optimize the latency and cost of LLM API calls?What is MCP (Model Context Protocol), and how can it improve AI integrations?How do you evaluate the accuracy and reliability of AI-generated responses?
Industries Hiring AI Automation EngineersSoftware Product CompaniesFinTechHealthcareBankingE-commerceManufacturingTelecommunicationsRetailInsuranceHR TechnologyLogistics & Supply ChainIT Services & ConsultingThis role is well suited for professionals with experience in Python, AI/LLMs, automation frameworks (such as Selenium or Playwright), APIs, cloud platforms, and workflow orchestration, combining software engineering skills with modern AI-driven automation.
