Software Engineer (AI)

123 Cisco Systems (India) Private Limited

Bengaluru

On-site

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

123 Cisco Systems (India) Private Limited is seeking a Software Engineer focused on AI-driven development to drive knowledge, delivery, and maintenance for the Partner Incentives and Metrics component. You will ensure data, automation, and feature behavior work reliably in production.

Responsibilities include designing AI-enabled features, debugging, and collaborating with cross-functional teams to deliver prioritized outcomes through Ops Mode, while applying GenAI concepts and distributed

Qualifications

  • Bachelor's degree with 3+ years of professional experience in Computer Science, AI/ML Engineering, or a related field.
  • Proven understanding of GenAI capabilities and N-Tier architectural concepts, Harness Engineering, and how they influence code-design-test-deploy.
  • Strong programming skills in Python, Java, Snowflake, Full Stack.

Responsibilities

  • Design, develop, and unit test AI-enabled features using Cisco Preferred LLM, Cisco LLM, and SDLC Agents, with Copilot for Code support to accelerate implementation.
  • Investigate and resolve bugs, performance issues, data discrepancies, and security concerns - using AI to minimize development lifecycle impact.
  • Define best practices and determine development scope using AI-driven processes.
  • Maintain and improve production AI solutions to ensure reliability and long-term maintainability.
  • Collaborate tightly with BSA and the Product Owner to deliver prioritized outcomes through the Solution and Execution phases of the Ops Mode.

Skills

Python
Java
Snowflake
Full Stack

Education

Bachelor's degree +3 years
Master's degree +2 years

Tools

Jira
Confluence
Jenkins
GitHub Copilot
Automation
BOTs/Agents
CI/CD pipelines

Job description

Job Overview

As a Software Engineer focused on AI-driven development at Cisco, you will drive knowledge, delivery, and maintenance for the Partner Incentives and Metrics component, ensuring the right data, automation, and feature behavior work reliably in production.

Responsibilities
  • Design, develop, and unit test AI-enabled features using Cisco Preferred LLM, Cisco LLM, and SDLC Agents, with Copilot for Code support to accelerate implementation.
  • Investigate and resolve bugs, performance issues, data discrepancies, and security concerns - using AI to minimize development lifecycle impact.
  • Define best practices and determine development scope using AI-driven processes.
  • Maintain and improve production AI solutions to ensure reliability and long-term maintainability.
  • Collaborate tightly with BSA and the Product Owner to deliver prioritized outcomes through the Solution and Execution phases of the Ops Mode.
Minimum Qualifications
  • Bachelor's degree with 3+ years of professional experience, or Master's degree with 2+ years of professional experience in Computer Science, AI/ML Engineering, or a related field.
  • Proven understanding of GenAI capabilities and N-Tier architectural concepts, Harness Engineering, and how they influence code-design-test-deploy.
  • Strong programming skills in Python, Java, Snowflake, Full Stack.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of Agile development methodology.
  • Hands‑on experience building distributed backend systems with Snowflake.
  • Experience with development and infrastructure tools including Jira, Confluence, Jenkins, GitHub Copilot, Automation, BOTs/Agents, and CI/CD pipelines.
  • Strong communication and organizational skills, and ability to work successfully in a team environment.
Preferred Qualifications
  • Experience in advanced GenAI capabilities and N-Tier architectural concepts, Harness Engineering.
  • Strong programming skills in Python, Java, Snowflake, Full Stack.
  • Advanced data preprocessing, feature engineering, and model evaluation techniques.
  • Expertise with distributed backend systems using Snowflake.
  • Proficiency with development and infrastructure tools including Jira, Confluence, Jenkins, GitHub Copilot, Automation, BOTs/Agents, and CI/CD pipelines.
  • Exceptional communication and teamwork skills.
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