About the Role:
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.
What You'll Do Build & Deploy AI Solutions
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Design and implement LLM-powered tools, copilots, and intelligent agents using OpenAI APIs, LangChain, and vector databases
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Create custom chatbots and knowledge assistants using internal data and RAG architectures
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Develop AI-driven anomaly detection tools
Automate & Orchestrate
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Use platforms like n8n, Zapier, or Make to build scalable workflow automations
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Integrate disparate systems through APIs, webhooks, and custom connectors
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Design multi-step AI agent workflows for complex business processes
Collaborate & Scale
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Partner with teams to identify pain points and build targeted AI solutions
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Document processes and create self-service tools for non-technical users
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Establish best practices and frameworks for AI tool development
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Measure impact through usage analytics and feedback loops
What We're Looking For
Must-Haves
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2–4 years of experience in software development, automation engineering, or AI implementation
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Strong proficiency in Python and JavaScript/Node.js
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Hands-on experience with AI platforms (OpenAI, Claude, Gemini) and prompt engineering
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Working knowledge of LangChain, vector databases (Pinecone, Chroma, Weaviate), and RAG patterns
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Experience with n8n or similar workflow automation tools (Zapier, Make, Retool)
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Understanding of API design, webhooks, and system integrations
Nice-to-Haves
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Experience building internal tools, AI copilots, or business automation solutions
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Knowledge of fraud detection, anomaly detection, or ML monitoring systems
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Familiarity with affiliate marketing, e-commerce, or digital marketing workflows
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Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker)
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Background in data engineering or working with large datasets
Success Metrics First 6 Months:
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Launch 3+ high-impact AI tools or automations in production
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Demonstrate measurable time savings or efficiency gains across 2+ departments
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Establish reusable AI workflows adopted beyond initial implementation scope
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Build foundation for organization-wide AI adoption and scaling
Ongoing:
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Maintain 90%+ uptime for critical AI automation systems
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Achieve positive ROI on AI implementations through cost savings or revenue generation
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Enable non-technical teams to independently leverage AI tools you've built
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Training of existing team members
Sample Projects You Might Work On
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AI-Powered Fraud Detection: Build real-time anomaly detection systems using transaction data and behavioral patterns
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Internal Knowledge Assistant: Create ChatGPT-like solutions using company data, documentation, and knowledge bases
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Intelligent Process Automation: Design multi-agent workflows that handle complex business processes end-to-end
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Customer Support Copilot: Develop AI assistants that help support teams with intelligent response suggestions and case routing
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Marketing Automation: Build AI-driven content generation and campaign optimization tools
Why Join Us
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Pioneer Role: Be our first AI-focused engineer and shape how we approach intelligent automation
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Immediate Impact: Your solutions will directly improve how teams work and scale operations
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Creative Freedom: Experiment with cutting-edge AI tools and techniques to solve real business problems
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Cross-Functional Collaboration: Work closely with product, marketing, and operations teams to ship meaningful solutions
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Growth Opportunity: Help establish AI best practices and potentially lead a team as we scale
What We Offer
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Competitive salary.
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Budget for AI tools, courses, and conference attendance
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Opportunity to work with latest AI technologies and platforms
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Direct access to leadership and input on technical strategy
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AI Happy hour every Alternate Friday - Team members work together exploring advancements in AI
