About the Role:
Were seeking a hands-on
AI Automation Engineer
to spearhead AI adoption across our organization. This isnt about building models from scratch its about solving real business problems with practical AI solutions.Youll 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 Youll Do Build & Deploy AI Solutions
- 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
Automate & Orchestrate
- 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
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Collaborate & Scale
- 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
What Were Looking For
Must-Haves
- 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-Haves
- 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
Success Metrics First 6 Months:
- Launch 3+ high-impact AI tools or automations in production
- Demonstrate measurable time savings or efficiency gains across 2+ departments
- Establish reusable AI workflows adopted beyond initial implementation scope
- Build foundation for organization-wide AI adoption and scaling
Ongoing:
- Maintain 90%+ uptime for critical AI automation systems
- Achieve positive ROI on AI implementations through cost savings or revenue generation
- Enable non-technical teams to independently leverage AI tools youve built
- 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 -
Internal Knowledge Assistant
: Create ChatGPT-like solutions using company data, documentation, and knowledge bases -
Intelligent Process Automation
: Design multi-agent workflows that handle complex business processes end-to-end -
Customer Support Copilot
: Develop AI assistants that help support teams with intelligent response suggestions and case routing -
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 -
Immediate Impact
: Your solutions will directly improve how teams work and scale operations -
Creative Freedom
: Experiment with cutting-edge AI tools and techniques to solve real business problems -
Cross-Functional Collaboration
: Work closely with product, marketing, and operations teams to ship meaningful solutions -
Growth Opportunity
: Help establish AI best practices and potentially lead a team as we scale
What We Offer
- Competitive salary.
- 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