Analyst – Software Engineering (GenAI / ML)

Hire Today; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading tech recruitment firm seeks an Analyst in Software Engineering in Bengaluru to build and productionize AI and machine learning solutions. Responsibilities include designing AI-based production systems and integrating them with various tools, ensuring system safety and scalability. Candidates should hold a Bachelor's degree in Computer Science or related fields; a Master's or PhD is preferred for deeper knowledge in Machine Learning and GenAI. This role offers an innovative work environment focused on cutting-edge technology.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field.
• Master’s or PhD in Computer Science, Engineering, or related quantitative field with strong ML and GenAI experience.

Responsibilities

• Design and implement agentic AI and LLM-based production systems.
• Integrate AI solutions with observability, incident management, and deployment tools.
• Ensure safety, reliability, scalability, and governance of AI systems.

Skills

Machine Learning

AI Integration

System Design

Incident Management

Observability

Education

Bachelor's in Computer Science

Master's or PhD in related field

Job description

Analyst – Software Engineering (GenAI / ML)

Build and productionize agentic AI and machine learning solutions to automate and optimize large-scale production systems, integrating LLMs with runtime, observability, and incident management platforms.

About Goldman Sachs

• Leading global investment banking and financial services firm.
• Strong engineering-driven culture focused on innovation, risk management, and scale.
• Operates worldwide serving corporations, institutions, and governments.

Responsibilities

• Design and implement agentic AI and LLM-based production systems.
• Integrate AI solutions with observability, incident management, and deployment tools.
• Ensure safety, reliability, scalability, and governance of AI systems.

Preferred Qualifications

Master’s or PhD in Computer Science, Engineering, or related quantitative field with strong ML and GenAI experience.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field.