AI Automation & Generative AI Engineer
Source: Arbeitnow
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AI Summary Powered by Gemini
This role involves building and integrating AI-powered applications, LLM-based agents, and workflow automations to solve practical business challenges. It is an exciting opportunity for a hands-on engineer to work with cutting-edge frameworks like LangChain and CrewAI to deliver scalable AI solutions.
Job Description
We are seeking an AI Automation & Generative AI Engineer to support a rapidly growing organization in the U.S.This person will build AI-powered applications, workflow automations, LLM integrations, and business process automation solutions. The ideal candidate is hands-on, strong with Python, comfortable working with APIs, and experienced in turning AI tools into practical business solutions.This is a strong fit for someone who has built AI applications, internal automation tools, RAG systems, chatbots, AI agents, or LLM-powered workflows.Key ResponsibilitiesBuild and integrate AI-powered applications, workflows, and automation systemsDevelop LLM-based tools, AI agents, chatbots, and internal productivity solutionsIntegrate OpenAI, Anthropic, Gemini, or other generative AI APIs into business systemsDesign AI automation solutions for operations, sales, customer support, recruiting, and productivity use casesBuild and improve RAG systems, document search tools, and knowledge-based AI applicationsWork with APIs, databases, cloud services, and third-party platformsOptimize prompts, workflows, outputs, and AI interactions for accuracy and usabilityCollaborate with engineering, product, and business teams to deliver scalable AI solutionsTroubleshoot and improve AI workflows, including handling edge cases, errors, and unreliable outputsHelp ensure AI solutions are practical, secure, and aligned with business needsStrong Python experienceHands-on experience with OpenAI APIs or other LLM platformsExperience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworksExperience building AI-powered applications, automations, or workflow toolsStrong API integration experienceUnderstanding of prompts, structured outputs, embeddings, RAG, and AI workflow designExperience working with cloud infrastructure or backend systemsAbility to work independently in a remote environmentStrong English communication skillsComfortable working with international teams and fast-moving projectsPreferred QualificationsExperience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, Milvus, or pgvectorExperience building RAG systems or document Q&A toolsExperience with AWS, GCP, or AzureExperience with voice AI, conversational AI, or customer support automationExperience with workflow automation tools such as n8n, Zapier, Make, Airflow, or similarExperience working with startups, SaaS companies, or product teamsExperience deploying AI applications into production environmentsFamiliarity with AI evaluation, hallucination reduction, security, and data privacy best practicesExample ProjectsBuild an AI assistant that answers questions from company documentsBuild a customer support automation tool that drafts responses and routes ticketsBuild a sales automation workflow that researches prospects and drafts outreachBuild a recruiting tool that compares resumes against job descriptionsBuild an internal productivity assistant that connects to business systems and automates repetitive tasksWhat We OfferRemote work environmentCompetitive compensationLong-term project opportunityOpportunity to work on modern AI and automation technologiesCollaboration with an innovative companyFind more English Speaking Jobs in Germany on Arbeitnow
Full Description
We are seeking an AI Automation & Generative AI Engineer to support a rapidly growing organization in the U.S.This person will build AI-powered applications, workflow automations, LLM integrations, and business process automation solutions. The ideal candidate is hands-on, strong with Python, comfortable working with APIs, and experienced in turning AI tools into practical business solutions.This is a strong fit for someone who has built AI applications, internal automation tools, RAG systems, chatbots, AI agents, or LLM-powered workflows.Key ResponsibilitiesBuild and integrate AI-powered applications, workflows, and automation systemsDevelop LLM-based tools, AI agents, chatbots, and internal productivity solutionsIntegrate OpenAI, Anthropic, Gemini, or other generative AI APIs into business systemsDesign AI automation solutions for operations, sales, customer support, recruiting, and productivity use casesBuild and improve RAG systems, document search tools, and knowledge-based AI applicationsWork with APIs, databases, cloud services, and third-party platformsOptimize prompts, workflows, outputs, and AI interactions for accuracy and usabilityCollaborate with engineering, product, and business teams to deliver scalable AI solutionsTroubleshoot and improve AI workflows, including handling edge cases, errors, and unreliable outputsHelp ensure AI solutions are practical, secure, and aligned with business needsStrong Python experienceHands-on experience with OpenAI APIs or other LLM platformsExperience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworksExperience building AI-powered applications, automations, or workflow toolsStrong API integration experienceUnderstanding of prompts, structured outputs, embeddings, RAG, and AI workflow designExperience working with cloud infrastructure or backend systemsAbility to work independently in a remote environmentStrong English communication skillsComfortable working with international teams and fast-moving projectsPreferred QualificationsExperience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, Milvus, or pgvectorExperience building RAG systems or document Q&A toolsExperience with AWS, GCP, or AzureExperience with voice AI, conversational AI, or customer support automationExperience with workflow automation tools such as n8n, Zapier, Make, Airflow, or similarExperience working with startups, SaaS companies, or product teamsExperience deploying AI applications into production environmentsFamiliarity with AI evaluation, hallucination reduction, security, and data privacy best practicesExample ProjectsBuild an AI assistant that answers questions from company documentsBuild a customer support automation tool that drafts responses and routes ticketsBuild a sales automation workflow that researches prospects and drafts outreachBuild a recruiting tool that compares resumes against job descriptionsBuild an internal productivity assistant that connects to business systems and automates repetitive tasksWhat We OfferRemote work environmentCompetitive compensationLong-term project opportunityOpportunity to work on modern AI and automation technologiesCollaboration with an innovative companyFind more English Speaking Jobs in Germany on Arbeitnow