Base Career helps you apply smarter for this job.
Key skills for this role
We are transitioning our organization to an AI-first operational model. 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 —tools that not only retrieve insights but actively trigger workflows, and synthesize strategic intel across our entire business landscape.
We are transitioning our organization to an AI-first operational model. 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 —tools that not only retrieve insights but actively trigger workflows, and synthesize strategic intel across our entire business landscape.
This is a high-impact, hands-on engineering role requiring a convergence of three distinct skill sets:
Software Engineering (50%): Building scalable middleware, API integrations, and production-grade applications that connect our data stack to business tools (CRM, Marketing Automation, Support/Ticketing).
AI Engineering (30%): Implementing Agentic workflows, RAG architectures, and LLMs to process unstructured data at scale.
Data Analytics (20%): Leveraging SQL and B2B SaaS metrics to ensure all automation is grounded in accurate, governed data.
Develop a unified intelligence layer that ingests signals from disparate sources (Product Telemetry, CRM, Call Transcripts, Marketing inputs) and processes them into actionable outputs.
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Pune, IND
Pune, IND
Pune, IND
Pune, IND
Pune, IND
Pune, IND
Pune, IND
Pune, IND
Build robust integrations/webhooks to push AI-generated insights directly into workflow tools (e.g., pushing "Churn Risk" alerts into Salesforce
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.
Collaborate with Analytics Engineers to ensure the underlying data pipelines support real-time or near-real-time AI applications.
Maintain security and privacy standards, ensuring that AI agents respect data access permissions across different departments.
The "Builder" Mindset: You are comfortable taking a high-level strategic requirement from leadership (e.g., "We need to automate lead qualification") and independently architecting and coding the solution.
Systemic Thinking: You understand how a change in product data schema impacts the downstream marketing automation flow.
Adaptability: You can switch contexts rapidly—from debugging a SQL query for Strategy to refining a prompt for Customer Support automation.
AI-powered revenue enablement software company serving sales and customer-facing teams.
Visit company websiteFull-time
Mid · 3+ years experience
Hybrid
Apply faster on company sites with our extension.