Build and lead the practice that puts tool-calling and multi-agent systems on top of ERPs and business systems, with approval flows, audit trails and write gates.
You shape the offering, win the hard technical conversations with clients, and make sure what we ship is safe, observable and worth paying for.
02
Requirements
01Twelve or more years in software or data engineering, with recent hands-on leadership in applied AI or automation
02Has taken LLM-based systems into production and can talk honestly about failure modes
03Experience leading engineers and scientists and setting technical standards
04Able to explain trade-offs to a CFO and to a CTO in the same afternoon
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Nice to have
+Experience with SAP, Odoo or Shopify integrations
+Familiarity with Model Context Protocol and agent evaluation
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Compensation
₹40,00,000 – ₹75,00,000 per year. Fixed pay shown; variable pay and benefits are additional where the role has them. Salaries are negotiable based on experience.
Hiring
What happens next
01
We read it
A person reads every application. No keyword filter.
02
Reply
Within 5 working days if there is a fit.
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Conversation
90 minutes with the people you would work with.
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Paid trial
A real, scoped problem. Paid at contract rate.
Application
Send your work. Skip the theatre.
Resume, a short note, and anything that shows how you think. Specifics beat adjectives.
Show something you built, not something you managed.
Scale, constraints, and trade-offs land better than adjectives.
Help us place you better (optional · kept private · two minutes)
None of this decides whether we consider you. The more we know, the better the roles we bring you, and the more accurately we can describe the market to the people who hire through us.
We use your details to consider you for roles at Bear Systems and, if you agree above, in our wider talent network. Questions: [email protected]