Technical Expertise:

<ul>
<li>Overall 8-12 years of experience in AI and Data science with 2–3 years of hands-on experience with Large Language Models (LLMs), Generative AI applications, and Agentic AI architectures (e.g., multi-agent workflows, copilots, autonomous agents).</li>
</ul>

<ul>
<li>Proven track record of building AI-first systems (e.g., conversational agents, copilots).</li>
</ul>

<ul>
<li>Strong system design skills with experience in designing scalable, low-latency AI-powered platforms.</li>
</ul>

<ul>
<li>Familiarity with orchestration tools/technologies like LangGraph, CrewAI, AutoGen, and distributed multi-agent system design.</li>
</ul>

<ul>
<li>Deep understanding of the trade-offs between open-source vs proprietary AI models and related tools.</li>
</ul>

<ul>
<li>Experience building or integrating components such as Ontology Layers, Graph Knowledge Bases, and feedback loops into AI systems.</li>
</ul>

Strategic Thinking:

<ul>
<li>Expertise in evaluating build-vs-buy options and supporting recommendations with logical explanations.</li>
</ul>

<ul>
<li>Ability to identify scalability, latency, and inference-cost bottlenecks and devise solutions.</li>
</ul>

<ul>
<li>Updated knowledge and insights on the latest tools, frameworks, and trends in AI and multi-agent ecosystems.</li>
</ul>

Product Knowledge:

<ul>
<li>Strong curiosity and empathy for end-user personas.</li>
</ul>

<ul>
<li>Demonstrates end-to-end product thinking beyond model performance.</li>
</ul>

<ul>
<li>Ability to connect AI capabilities with business KPIs while ensuring ROI on AI investments.</li>
</ul>

<ul>
<li>Experience working closely with Product Managers to identify workflows and bottlenecks, collaboratively defining roadmaps.</li>
</ul>

Communication and Leadership:

<ul>
<li>Demonstrates the ability to act as a thought partner to product managers and stakeholders.</li>
</ul>

<ul>
<li>Exceptional written and verbal communication skills to align cross-functional teams on objectives, deliverables, and methodologies.</li>
</ul>

<ul>
<li>Thrives in a fast-paced environment with a "Founder Mentality" to move </li>
</ul>

<ul>
<li>Entrepreneurial stint or experience with startups building AI products</li>
</ul>

<ul>
<li>R&amp;D experience with language models</li>
</ul>

What will you get to do here?

<ul>
<li>Build AI-first systems with a focus on multi-agent systems, LLMs, Generative AI, and Agentic AI workflows.</li>
</ul>

<ul>
<li>Define and build scalable and efficient AI systems with low latency at production scale.</li>
</ul>

<ul>
<li>Design orchestration mechanisms like Ontology Layers and incorporate feedback loops for enriching system capabilities.</li>
</ul>

<ul>
<li>Stay updated on emerging AI frameworks, tools, and technologies, applying learnings to both technological and business problem statements.</li>
</ul>

<ul>
<li>Evaluate and benchmark open-source and proprietary AI frameworks based on cost, scalability, and suitability.</li>
</ul>

<ul>
<li>Collaborate with engineering, product, analysts and business stakeholders to define workflows, address bottlenecks, and create product roadmaps.</li>
</ul>

<ul>
<li>Provide recommendations on AI investments with a critical eye on ROI and business impact.</li>
</ul>

<ul>
<li>Present your work in internal and external forums, thought-leadership events, and research publications. </li>
</ul>

Data scientist in Bengaluru (UID-11601)

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