Sr Specialist AI Engineer
At a glance
Senior AI Engineering role at Nasdaq. Bangalore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and support enterprise AI assistants, copilots, autonomous agents and workflow automation systems
- Create RAG applications that retrieve information from enterprise content using vector databases and embeddings
- Develop multi-agent systems with planning, reasoning, memory and tool coordination
- Measure AI answer quality, grounding, safety, latency and business impact through evaluation frameworks
- Connect AI systems to enterprise applications, APIs, databases and cloud platforms, while setting operational safeguards
What you bring
- A bachelor's or master's degree in computer science, engineering or another listed related field
- Five to eight years in software engineering, including hands-on work building AI-powered applications
- Strong Python skills and practical knowledge of modern software engineering
- Experience with LLMs, agent frameworks and RAG applications using vector databases or semantic search
Who this fits
This senior role suits an experienced AI engineer who can turn business needs into production-ready systems and guide engineering practices. You’ll work with global teams and stakeholders, and mentor engineers. The position is based in Bangalore and follows a hybrid-first model.
From the employer
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.
Does it sound like you? What happens now?
As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks.
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
Come as you are
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.
To learn more about our business visit business.nasdaq.com. Check out more about our Life at Nasdaq.
Come as You Are
Nasdaq is an equal opportunity employer. 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.