About RentoMojo
RentoMojo is India's largest furniture and appliance rental marketplace, on an IPO track, serving hundreds of thousands of customers across major Indian cities. We're building the future of asset-light living — and internally, we're building the future of how a high-growth company operates. Our AI footprint already includes customer-facing chatbots, voice agents, demand forecasting and agentic workflows. Now we're turning that capability inward.
The Role
We're hiring AI Automation Engineers focused on one mission: automate every internal process that can be automated using AI. You'll partner directly with HR, finance, legal, and operations teams to identify high-impact workflows, then build LLM-powered pipelines that eliminate manual work, reduce errors, and create leverage across the organization. This is not traditional RPA — you'll architect intelligent systems that reason, extract, classify, and generate, using frontier LLMs as a core building block.
Your goal is measurable: hours saved, errors eliminated, processes accelerated. At an IPO-track company, every automation you ship also strengthens compliance, auditability, and process rigor.
- Design and deploy end-to-end AI automation pipelines for internal workflows — HR onboarding and HRBP processes, finance/accounting reconciliation, legal contract review, internal reporting, and CRM operations
- Build agentic workflows using LangGraph and frontier LLM APIs that orchestrate multi-step business processes with human-in-the-loop checkpoints
- Extract, transform, and classify unstructured data from messy real-world sources — invoices, employee documents, support tickets, compliance filings — using LLM-powered pipelines
- Integrate automations with internal systems via APIs and webhooks — connecting PostgreSQL, Supabase, AWS services, and third-party tools (HRIS, accounting software, CRM)
- Collaborate deeply with non-engineering stakeholders to map processes, identify automation candidates, and co-design solutions that actually get adopted
- Implement comprehensive logging, audit trails, and monitoring for all automated workflows — meeting the documentation and compliance standards of an IPO-track company
- Measure and report automation impact: hours saved, error reduction, cost savings, process cycle time improvements
- Continuously evaluate new AI capabilities and identify where frontier model improvements unlock new automation opportunities
What You Bring
- 2-4 years of professional software engineering experience, with meaningful work in Python
- Hands-on experience building applications with LLM APIs (Claude, GPT-4, Gemini) — not just experimentation, but shipped production systems
- Proficiency in prompt engineering: few-shot prompting, chain-of-thought, structured output generation, and evaluation of LLM outputs
- Experience with LangChain, LangGraph, or similar orchestration frameworks for building multi-step AI workflows
- Strong API integration skills — REST APIs, webhooks, data serialization, error handling, and retry logic
- Comfortable working with relational databases (PostgreSQL), caching layers (Redis), and cloud infrastructure (AWS)
- Demonstrated ability to work with messy, real-world data — cleaning, normalizing, validating, and transforming unstructured inputs
- Clear communicator who can explain technical trade-offs to HR managers, finance leads, and ops teams without drowning them in jargon
What Sets You Apart
- Experience with FastAPI for building production services
- Familiarity with RAG systems — embedding models, vector stores, retrieval strategies, re-ranking
- Exposure to agentic AI patterns — ReAct, tool use, multi-agent orchestration
- Experience with workflow automation platforms (n8n, Zapier, Airflow) alongside custom code
- Understanding of data privacy, compliance, and audit requirements — SOC 2, GDPR awareness, PII handling
- Background in automating business processes specifically in HR, finance, or operations domains
- Experience building internal dashboards and reporting tools
- Contributions to open-source AI/automation projects
Skills: langchain,postgresql,python,langgraph,automation,llm,prompt engineering
