<h3>What qualities are we looking for?</h3>

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

What qualities are we looking for? Technical Expertise: 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). Proven track record of building AI-first systems (e.g., conversational agents, copilots). Strong system design skills with experience in designing scalable, low-latency AI-powered platforms. Familiarity with orchestration tools/technologies like LangGraph, CrewAI, AutoGen, and distributed multi-agent system design. Deep understanding of the trade-offs between open-source vs proprietary AI models and related tools. Experience building or integrating components such as Ontology Layers, Graph Knowledge Bases, and feedback loops into AI systems. Strategic Thinking: Expertise in evaluating build-vs-buy options and supporting recommendations with logical explanations. Ability to identify scalability, latency, and inference-cost bottlenecks and devise solutions. Updated knowledge and insights on the latest tools, frameworks, and trends in AI and multi-agent ecosystems. Product Knowledge: Strong curiosity and empathy for end-user personas. Demonstrates end-to-end product thinking beyond model performance. Ability to connect AI capabilities with business KPIs while ensuring ROI on AI investments. Experience working closely with Product Managers to identify workflows and bottlenecks, collaboratively defining roadmaps. Communication and Leadership: Demonstrates the ability to act as a thought partner to product managers and stakeholders. Exceptional written and verbal communication skills to align cross-functional teams on objectives, deliverables, and methodologies. Thrives in a fast-paced environment with a "Founder Mentality" to move Entrepreneurial stint or experience with startups building AI products R&amp;D experience with language models What will you get to do here? Build AI-first systems with a focus on multi-agent systems, LLMs, Generative AI, and Agentic AI workflows. Define and build scalable and efficient AI systems with low latency at production scale. Design orchestration mechanisms like Ontology Layers and incorporate feedback loops for enriching system capabilities. Stay updated on emerging AI frameworks, tools, and technologies, applying learnings to both technological and business problem statements. Evaluate and benchmark open-source and proprietary AI frameworks based on cost, scalability, and suitability. Collaborate with engineering, product, analysts and business stakeholders to define workflows, address bottlenecks, and create product roadmaps. Provide recommendations on AI investments with a critical eye on ROI and business impact. Present your work in internal and external forums, thought-leadership events, and research publications.

Data scientist in Bengaluru (UID-12780)

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