Sr Specialist AI Engineer

Nasdaq, Inc.; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Annual bonus

Employee stock purchase program

Health insurance

Hybrid work model

Flexible schedule

Mentorship program

Online learning resources

Job summary

Nasdaq, Inc. in Bengaluru is seeking a Sr Specialist - AI Engineering to lead design, development and deployment of enterprise AI platforms, LLMs, Agentic AI frameworks, and RAG-powered workflows.

You will architect scalable, secure production systems, mentor engineers, and drive governance, observability, and AI engineering best practices across Nasdaq. The role emphasizes collaboration with global teams to translate complex business challenges into measurable AI outcomes.

Qualifications

• Bachelors/Masters in CS or related field.
• 5-8 years of software engineering with hands-on AI apps.
• Strong Python and modern software practices.
• Hands-on with LLMs (GPT, Claude, Gemini, Llama, etc.).
• Experience with orchestration frameworks like LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex.
• Understanding of Agentic AI architectures, tool calling, memory, and workflow automation.
• Experience building RAG apps using vector DBs and semantic search.
• Proficient with AI-assisted development tools (GitHub Copilot, Claude Code, Cursor).
• Excellent communication and stakeholder mgmt skills.

Responsibilities

• Design, develop, deploy enterprise-grade Agentic AI solutions and workflow platforms.
• Build RAG systems using vector databases, embeddings, and enterprise content sources.
• Develop multi-agent systems with planning, reasoning, memory, and tool orchestration.
• Create evaluation frameworks for relevancy, faithfulness, grounding, latency, safety, impact.
• Partner with stakeholders to translate requirements into scalable AI solutions.
• Implement AI observability, governance, security controls, and operational best practices.
• Integrate AI systems with enterprise apps, APIs, databases and cloud platforms.
• Drive AI-enabled automation to improve productivity and software quality.
• Mentor engineers and promote AI engineering standards and patterns.
• Evaluate emerging AI tech and drive adoption where appropriate.

Skills

Python

LLMs

Agentic AI

RAG

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

LlamaIndex

GitHub Copilot

Claude Code

Cursor

Education

Bachelor's/Master's in CS/related field

Tools

LangGraph

LangChain

AutoGen

CrewAI

Semantic Kernel

LlamaIndex

GitHub Copilot

Claude Code

Cursor

Job description

As a Sr Specialist - AI Engineering reporting to the Head of Market Data and AI Enablement, you will lead the design, development, and deployment of next-generation AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and intelligent automation. You will build enterprise-grade AI platforms, autonomous agents, evaluation frameworks, and AI-powered workflows that drive measurable business outcomes and engineering productivity across Nasdaq. Working closely with global teams and stakeholders, you will architect scalable, secure, and production-ready AI systems while establishing AI engineering best practices, governance standards, and operational excellence. You will thrive in this role if you are passionate about AI innovation, enjoy solving complex business challenges, and can successfully bring cutting-edge AI capabilities into enterprise production environments.

Roles & responsibilities

• Design, develop, deploy, and support enterprise-grade Agentic AI solutions, intelligent assistants, copilots, and workflow automation platforms.
• Build and maintain Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, enterprise content sources, and knowledge repositories.
• Develop multi-agent systems that leverage planning, reasoning, memory, and tool orchestration capabilities.
• Create evaluation frameworks to measure answer relevancy, faithfulness, grounding, latency, safety, and overall business impact.
• Partner with business and technology stakeholders to translate requirements into scalable AI solutions.
• Implement AI observability, monitoring, governance, security controls, and operational best practices.
• Integrate AI systems with enterprise applications, APIs, databases, and cloud platforms.
• Drive AI-enabled automation initiatives to improve productivity, software quality, and operational efficiency.
• Mentor engineers and promote AI engineering standards, architecture patterns, and best practices.
• Evaluate emerging AI technologies, frameworks, and models and drive adoption where appropriate.

What we expect

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Information Technology, or a related field.
• 5-8 years of software engineering experience, including hands-on experience building AI-powered applications.
• Strong proficiency in Python and modern software engineering practices.
• Hands-on experience with LLMs such as GPT, Claude, Gemini, Llama, or similar foundation models.
• Experience with LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
• Strong understanding of Agentic AI architectures, tool calling, memory systems, reasoning frameworks, and workflow automation.
• Experience building RAG applications using vector databases and semantic search technologies.
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience in Financial Services, Capital Markets, or FinTech domains.
• Experience with DeepEval, Ragas, LangSmith or similar evaluation frameworks.
• Exposure to LLMOps, MLOps, Responsible AI, and AI Governance practices.
• Experience with Knowledge Graphs, Graph Databases, and Enterprise Search platforms.

What will it be like working here?

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.

What do we offer you?

• Annual monetary bonus
• An opportunity to become a Nasdaq shareholder
• Employee Stock Purchase Program
• Nasdaq stocks with a discount
• Health Insurance Program
• Flexible working schedule and hybrid way of work
• Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays
• Internal mentorship program – get a mentor or become one
• Wide selection of online learning resources, e.g., Udemy
• We support your success through You&Q, our total rewards program that covers every dimension of life—from building wealth and growing your career to prioritizing well-being and family care.

Nasdaq is an equal opportunity employer.

We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information or any other status protected by applicable law.

Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services.

As the creator of the world's first electronic stock market, its technology powers more than 100 marketplaces in 50 countries.

Nasdaq is home to over 4,000 total listings with a market value of approximately $12 trillion.

We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.