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We're seeking a hands-on AI Automation Engineer to spearhead AI adoption across our organization. This isn't about building models from scratch — it's about solving real business problems with practical AI solutions.You'll collaborate with product, operations, marketing, and engineering teams to identify automation opportunities, build AI-powered tools, and streamline workflows using LLMs, APIs, and automation platforms. If you thrive on experimentation, rapid prototyping, and seeing your solutions make immediate impact — this role is for you.
Job Responsibility:
Design and implement LLM-powered tools, copilots, and intelligent agents using OpenAI APIs, LangChain, and vector databases
Create custom chatbots and knowledge assistants using internal data and RAG architectures
Develop AI-driven anomaly detection tools
Use platforms like n8n, Zapier, or Make to build scalable workflow automations
Integrate disparate systems through APIs, webhooks, and custom connectors
Design multi-step AI agent workflows for complex business processes
Partner with teams to identify pain points and build targeted AI solutions
Document processes and create self-service tools for non-technical users
Establish best practices and frameworks for AI tool development
Measure impact through usage analytics and feedback loops
Requirements:
2–4 years of experience in software development, automation engineering, or AI implementation
Strong proficiency in Python and JavaScript/Node.js
Hands-on experience with AI platforms (OpenAI, Claude, Gemini) and prompt engineering
Working knowledge of LangChain, vector databases (Pinecone, Chroma, Weaviate), and RAG patterns
Experience with n8n or similar workflow automation tools (Zapier, Make, Retool)
Understanding of API design, webhooks, and system integrations
Nice to have:
Experience building internal tools, AI copilots, or business automation solutions
Knowledge of fraud detection, anomaly detection, or ML monitoring systems
Familiarity with affiliate marketing, e-commerce, or digital marketing workflows
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker)
Background in data engineering or working with large datasets
What we offer:
Budget for AI tools, courses, and conference attendance
Opportunity to work with latest AI technologies and platforms
Direct access to leadership and input on technical strategy
AI Happy hour every Alternate Friday - Team members work together exploring advancements in AI