Specialist- AI Engineering and Automation

Nasdaq; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Nasdaq in Bengaluru is seeking a software engineer to design, develop, test, and deploy Generative AI solutions that meet business needs. You will collaborate with Finance, Technology, and business teams to translate requirements into effective technical outcomes.

You will build AI applications using LLMs, prompt engineering, and RAG, and develop reusable components and APIs for scalable delivery. You will follow coding standards, testing, documentation, and responsible AI practices while

Qualifications

• 4–6 years of software development experience.
• Strong proficiency in Python and its ecosystem.
• Experience developing applications with Generative AI technologies (LLMs, prompt engineering, RAG).
• Proficiency with AWS cloud services and cloud-native app development.
• Experience with modern development tools such as VS Code, Git, CI/CD, and automated testing frameworks.
• Strong understanding of API design and software engineering principles.
• Familiarity with AI governance, security, and responsible AI practices.
• Excellent communication and stakeholder leadership skills.

Responsibilities

• Design, develop, test, and deploy Generative AI solutions that meet business requirements.
• Build and maintain AI applications using LLMs, prompt engineering, RAG, and agent-based workflows.
• Collaborate with Finance, Technology, and business stakeholders to understand requirements.
• Contribute to coding standards, testing, documentation, and responsible AI guidelines.
• Develop reusable components, APIs, and automation frameworks.
• Participate in solution design discussions, code reviews, and architecture reviews.
• Gather user feedback and iterate to improve user experience and business value.
• Work effectively within distributed teams and communicate across technical levels.
• Fix and resolve development and deployment issues, flag risks.
• Evaluate emerging AI technologies and industry guidelines.

Skills

Python

Generative AI

LLMs

API development

AWS

CI/CD

Git

Cloud-native

Communication & leadership

Team collaboration

Tools

Visual Studio Code

Git

CI/CD pipelines

Testing frameworks

API documentation

Job description

Role Summary
Applies broad technical knowledge within software engineering and Generative AI, with a solid understanding of related subject areas and business processes. Contributes to the design, development, and deployment of AI‑powered solutions while working collaboratively across business and technology teams. Resolves complex problems by applying established practices, demonstrating prior experience, and seeking guidance when needed.

Role Summary
Applies broad technical knowledge within software engineering and Generative AI, with a solid understanding of related subject areas and business processes. Contributes to the design, development, and deployment of AI‑powered solutions while working collaboratively across business and technology teams. Resolves complex problems by applying established practices, demonstrating prior experience, and seeking guidance when needed.
Key Responsibilities

• Design, develop, test, and deploy Generative AI solutions that meet business requirements while ensuring quality, scalability, performance, and reliability.
• Build and maintain AI applications using Large Language Models (LLMs), prompt engineering techniques, retrieval‑augmented generation (RAG), agent‑based workflows, and cloud‑native architectures.
• Collaborate with Finance, Technology, and business stakeholders to understand requirements and translate them into effective technical solutions.
• Contribute to the team's adoption of software engineering and AI development guidelines, including coding standards, testing, documentation, and responsible AI principles.
• Develop reusable components, APIs, and automation frameworks that accelerate AI solution delivery across the organization.
• Participate in solution design discussions, code reviews, and architecture reviews to ensure maintainability and scalability.
• Gather user feedback and participate in iterative development cycles to enhance user experience, adoption, and business value.
• Work effectively within geographically distributed teams, communicating technical concepts clearly to both technical and non‑technical audiences.
• Fix and resolve development and deployment issues, calling out risks and dependencies where appropriate.
• Contribute to the evaluation and adoption of emerging AI technologies, frameworks, and industry guidelines.

We Expect You to Have

• 4-6 years of software development experience, with hands‑on experience building and delivering production‑grade applications.
• Strong proficiency in Python and its ecosystem, including modern development practices and frameworks.
• Experience developing applications using Generative AI technologies, including LLMs, prompt engineering, vector databases, RAG architectures, or AI agents.
• Proficiency with AWS cloud services and cloud‑native application development.
• Experience with modern development environments and tools such as Visual Studio Code, Git, CI/CD pipelines, and automated testing frameworks.
• Strong understanding of software engineering principles, system design, and API development.
• Familiarity with AI governance, model evaluation, security, and responsible AI practices.
• Excellent communication and stakeholder leadership skills, with the ability to explain complex technical concepts clearly and concisely.
• Proven track record to work independently while collaborating effectively within multi‑functional teams.

Preferred Qualifications

• Experience building AI solutions in finance, tax, risk, compliance, or other regulated environments.
• Familiarity with agentic AI frameworks, MCP‑based integrations, orchestration platforms, or workflow automation technologies.
• Knowledge of web scraping, data extraction, and document processing techniques.
• Familiarity with Spec‑Driven Development methodologies and modern software delivery practices.
• Exposure to machine learning model deployment, MLOps, or AI observability tools.

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.