Specialist- AI Engineering and Automation

Location: India - Bangalore - Karnataka

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.