AI Lead (Social Network Feedback Loop experience)
Mumbai About The Position
Location:
Mumbai (In-Person)
Experience:
5 10 years
Compensation:
Competitive + equity + bonus + health insurance
Start Date:
Rolling
Reports To:
CTO (Bengaluru) Founder (Mumbai New York) .
About Louisa
Louisa AI helps relationship-driven companies close 6 12 figure deals by unlocking the power of their extended networks employees, clients, and investors.
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The Opportunity
We re hiring an
AI Lead
to architect and scale the intelligence layer at the core of Louisa s product. If you ve worked on social networks, recommendation engines, or dynamic feedback loops this role will feel familiar but far more focused. At Louisa, we re not just mapping who knows who we re predicting
what they know
,
when they should be looped in
, and
how to move deals forward
through trusted networks. Think: the social graph reimagined for enterprise outcomes.
This is a foundational hire. You ll build the systems that learn from human context, usage patterns, and relationship signals and turn those insights into compounding user value.
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What You ll Own
- Design and lead development of Louisa s expertise graph and relationship intelligence engine
- Build ranking, feedback, and reinforcement systems that improve with usage
- Partner with product and engineering to ship ML-powered features into production
- Define and optimize data pipelines, embedding models, and real-time inference systems
- Ensure model reliability, iteration velocity, and explainability for enterprise users
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What We re Looking For
- 3 5 years experience working on ML systems in social, marketplace, or network-based products
- Proven success designing feedback loops and adaptive algorithms (e.g. recommendation, ranking, embeddings, or graph neural networks)
- Strong Python and ML stack fluency plus experience shipping to production at scale
- Clear communicator who can collaborate cross-functionally and present tradeoffs with clarity
- Strategic thinker who cares as much about product outcomes as model architecture
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Bonus Points
- Experience with vector databases like Qdrant, LLMs like Llama, GPT, Falcon or Mistral
- Built internal search, discovery, or referral engines that improved with use
- Familiar with academic literature around social capital, trust networks, or reputation layers
- Comfortable with rapid experimentation and prioritizing what actually ships
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Why This Role
If you believe AI should make humans better not just automate them this role is for you.
If you want to shape how trust, context, and collaboration are modeled in enterprise systems this is your sandbox.
If you re looking for a front-row seat in a fast-moving company this is your moment.
You ll work closely with the founder and CTO. You ll help define the roadmap. And you ll be responsible for turning the network around every company into a real-time decision advantage.
Apply now to turn enterprise relationships into intelligence that compounds.
