Specialist- AI Engineering and Automation

Nasdaq; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Nasdaq is seeking an experienced software engineer specializing in Generative AI to design, develop, and deploy AI-powered solutions. You will work with LLMs, prompt engineering, and RAG to deliver production-grade applications across business units.

The role emphasizes collaboration with Finance, Technology, and other stakeholders, adherence to coding standards, and responsible AI practices, while operating in a distributed, fast-paced environment.

Qualifications

• Proficiency in Python and AI development with production-grade experience.
• Strong knowledge of Generative AI technologies and LLMs.
• Experience building scalable cloud-native applications on AWS.

Responsibilities

• Design, develop, test, and deploy Generative AI solutions that meet business requirements.
• Build and maintain AI applications using LLMs, prompt engineering, and RAG architectures.
• Collaborate with Finance, Technology, and business stakeholders to translate requirements into technical solutions.
• Contribute to coding standards, testing, documentation, and responsible AI practices.
• Develop reusable components, APIs, and automation frameworks for AI delivery.
• Participate in architecture reviews to ensure maintainability and scalability.
• Gather user feedback to enhance UX and business value.
• Work with distributed teams and communicate technical concepts clearly.
• Fix deployment issues and call out risks and dependencies.

Skills

Python

Generative AI

AWS

API development

RAG architectures

AI governance

Cloud-native

Tools

Visual Studio Code

Git

CI/CD pipelines

Automated testing

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.

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 teams 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.