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 Responsibilities
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Build and integrate AI-powered applications, workflows, and automation systems
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Develop LLM-based tools, AI agents, chatbots, and internal productivity solutions
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Integrate OpenAI, Anthropic, Gemini, or other generative AI APIs into business systems
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Design AI automation solutions for operations, sales, customer support, recruiting, and productivity use cases
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Build and improve RAG systems, document search tools, and knowledge-based AI applications
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Work with APIs, databases, cloud services, and third-party platforms
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Optimize prompts, workflows, outputs, and AI interactions for accuracy and usability
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Collaborate with engineering, product, and business teams to deliver scalable AI solutions
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Troubleshoot and improve AI workflows, including handling edge cases, errors, and unreliable outputs
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Help ensure AI solutions are practical, secure, and aligned with business needs
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Strong Python experience
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Hands-on experience with OpenAI APIs or other LLM platforms
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Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworks
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Experience building AI-powered applications, automations, or workflow tools
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Strong API integration experience
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Understanding of prompts, structured outputs, embeddings, RAG, and AI workflow design
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Experience working with cloud infrastructure or backend systems
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Ability to work independently in a remote environment
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Strong English communication skills
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Comfortable working with international teams and fast-moving projects
Preferred Qualifications
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Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, Milvus, or pgvector
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Experience building RAG systems or document Q&A tools
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Experience with AWS, GCP, or Azure
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Experience with voice AI, conversational AI, or customer support automation
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Experience with workflow automation tools such as n8n, Zapier, Make, Airflow, or similar
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Experience working with startups, SaaS companies, or product teams
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Experience deploying AI applications into production environments
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Familiarity with AI evaluation, hallucination reduction, security, and data privacy best practices
Example Projects
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Build an AI assistant that answers questions from company documents
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Build a customer support automation tool that drafts responses and routes tickets
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Build a sales automation workflow that researches prospects and drafts outreach
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Build a recruiting tool that compares resumes against job descriptions
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Build an internal productivity assistant that connects to business systems and automates repetitive tasks
What We Offer
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Remote work environment
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Competitive compensation
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Long-term project opportunity
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Opportunity to work on modern AI and automation technologies
Collaboration with an innovative company
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