About Us:

For three decades, Angel One has been making investing and wealth creation more accessible and engaging for Indians. Today, millions of customers trust Angel One across investing, trading, wealth creation, and credit.

We are one of the best fintech platforms building simple, intelligent and seamless financial experiences for millions of users across the country. From investing and trading to wealth creation and credit, everything we build is focused on making financial journeys easier, faster, more accessible and engaging.

We believe strong fundamentals matter, in investing, in technology and in the way we build our teams. Trust, simplicity, speed and long-term thinking shape how we work and what we build.

Here people work on real problems at real scale. Millions of users interact with our platform every day, and every team plays a role in shaping that experience. We move fast, take ownership and keep learning along the way.

No matter the role, people here are encouraged to share ideas, challenge the usual and build things that create real impact.

If building for the next generation of India excites you, let’s chat!

Why You'll Love Working at Angel One!

Tech Systems that run at Scale: From AI to real-time data infra, you’ll work on tech that’s ahead of the curve and solve problems that truly matter.

Build one of India’s Leading Fintech Platform: We’re not just disrupting finance – we’re shaping how billion Indians access wealth.

Own It. Drive It. Scale It: You’ll have the freedom to lead, the resources to build, and the opportunity to leave your mark.

Empowered Growth: We invest in your growth and empower you to explore your full potential.

Exceptional Benefits:



Our comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more.

Job Title: Data Scientist 3

Location: Bangalore

What you will do:

- Identify and translate complex business problems into scalable AI solutions across chatbots, conversational AI, and Agentic AI applications.
- Design, develop, and deploy LLM-powered applications and agentic workflows involving tool calling, RAG, multi-step reasoning, and API integrations.
- Own the end-to-end AI development lifecycle, from data and model selection to context engineering, fine-tuning, evaluation, and production deployment.
- Design robust evaluation frameworks for LLM and agentic systems, assessing response quality, task completion, reliability, safety, and business impact.
- Drive continuous improvement through experimentation, error analysis, production monitoring, and optimisation of latency, cost, and performance.
- Collaborate with product and engineering teams to define technical solutions, drive execution, and deliver measurable customer and business outcomes.
- Mentor junior team members, drive technical best practices, and contribute to the evolution of AI development frameworks and reusable components.

Who you are:





- Have 6–9 years of experience in Python and machine learning, with solid software engineering fundamentals.
- Have hands-on experience building and deploying production-grade LLM applications, conversational AI systems, or agentic workflows.
- Have a strong understanding of LLM architectures, RAG, tool calling, context engineering, structured outputs, and agent orchestration.
- Have experience with LLM evaluation, observability, experimentation, and systematic debugging of complex AI applications.
- Are proficient in designing scalable ML/AI solutions, with experience in model optimisation, inference trade-offs, and production monitoring.
- Have strong analytical and problem-solving skills, with the ability to independently drive ambiguous problems from discovery to production.
- Can collaborate effectively across product and engineering teams, communicate technical trade-offs, and mentor junior team members.

Good to have

- Experience with open-source LLMs, fine-tuning techniques, and inference optimisation.
- Experience designing reusable AI frameworks, evaluation pipelines, or agent infrastructure.
- Experience with big data technologies such as Spark, and distributed data processing.

Diversity, Equity and Inclusion at Angel One

At Angel One, our culture is rooted in Diversity, Equity, and Inclusion. As an equal opportunity employer, we welcome people from all backgrounds, irrespective of caste, religion, gender, marital status, sexuality, disability, class, or age. We believe everyone's Unique experiences and viewpoints make us stronger together. Come and be part of #OneSpace, where your individuality is celebrated and embraced.

📌 Data Scientist 3 (Karnataka)
🏢 Angel One
📍 Karnataka