Job description

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

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

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 We're 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 you've built
Training of existing team members

Sample Projects You Might Work On

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

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

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