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
Strong Python experience
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
What We Offer
- Remote work environment
- Competitive compensation
- Long-term project opportunity
- Opportunity to work on modern AI and automation technologies
Collaboration with an innovative company