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 Prospect: 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

📌 AI Automation Engineer (India)
🏢 Pcpl
📍 India