AI Product Engineer

Overview

AI Product Engineer to architect and build a company’s central “intelligence engine” for automated insights and workflow triggering.

What you'll do

• Design a unified intelligence layer that ingests signals from sources like product telemetry, CRM, call transcripts, and marketing inputs.
• Build integrations/webhooks to push AI-generated insights into workflow tools such as Salesforce.
• Implement agentic workflows where LLMs are permitted to perform tasks.
• Develop RAG systems to ground AI outputs in company documentation, historical data, and strategic context.
• Set evaluation and guardrails for non-deterministic models to reduce hallucinations in critical workflows.
• Collaborate on data pipelines for real-time or near-real-time AI applications.
• Maintain security and privacy standards so AI agents respect data access permissions.

What you'll need

• 3+ years of Python development experience.
• Strong proficiency in API development (FastAPI/Django).
• Experience building integrations between SaaS platforms.
• Proven experience using LLM APIs and orchestration frameworks, including “Agent” concepts.
• Strong SQL skills and familiarity with cloud data warehouses (Snowflake/BigQuery).
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience working with APIs for B2B tools including Salesforce, HubSpot, Zendesk, Jira, and Marketo.
• Experience with workflow automation tools like Airflow, Zapier/Make, or custom workflow engines.
• Understanding of Sales, Product, and Customer Success workflows and metrics interplay.

Details

• Location: Pune, Maharashtra.