Role Overview
We are seeking an AI Product Engineer to architect and build the company's central intelligence engine. In this role, you will be the primary builder of automated intelligence systems combining Software Engineering (50%), AI Engineering (30%), and Data Analytics (20%).
About Mindtickle
MindTickle is transitioning its organization to an AI-first operational model, building a central intelligence engine and automated intelligence systems to retrieve insights, trigger workflows, and synthesize strategic intel.
Key Responsibilities
- Develop a unified intelligence layer that ingests signals from disparate sources (Product Telemetry, CRM, Call Transcripts, Marketing inputs) and processes them into actionable outputs.
- Build robust integrations/webhooks to push AI-generated insights directly into workflow tools.
- Architect Agentic workflows where LLMs are granted permission to perform tasks.
- Implement advanced RAG to ground AI outputs in company documentation, historical data, and strategic context.
- Ensure rigorous evaluation and guardrails for non-deterministic models to prevent hallucinations in critical business workflows.
Requirements & Eligibility
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 3+ years of experience in Python development, with strong proficiency in API development (FastAPI/Django) and building integrations between SaaS platforms.
- Proven experience building applications using LLM APIs and orchestration frameworks, Experience with Agent concepts.
- Strong SQL skills and familiarity with cloud data warehouses (Snowflake/BigQuery).
Required Skills & Tech
PythonFastAPIDjangoLLM APIsRAG