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