Cisco Recruitment 2026: Software...
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Job summary
Cisco Systems, Inc. in Bangalore is seeking a Software Engineer (AI) in the LIO/CPCCE team for a hybrid, full-time role. You will design and deliver AI-enabled features using GenAI technologies and Snowflake backends.
Responsibilities include developing and testing AI capabilities, maintaining production solutions, and resolving issues with AI-assisted workflows. Ideal candidates hold a CS degree with 2–3+ years of AI/ML experience and strong Python/Java skills.
Qualifications
- Bachelor’s degree with 3+ years of professional experience or Master’s with 2+ years in CS/AI/related field.
- Strong GenAI, AI/ML concepts, and N-Tier architecture exposure.
- Proficiency in Python, Java, and Snowflake backend queries.
Responsibilities
- AI-enabled feature development and unit testing using GenAI tools.
- Maintain production AI solutions for performance and reliability.
- Investigate bugs, data discrepancies, and security concerns with AI-assisted workflows.
Skills
Education
Tools
Job description
Cisco Bangalore Full-time Fresher Not Disclosed Posted 6 days ago
Company :- Cisco Systems, Inc.
Job Title :- Software Engineer (AI)
Job Requisition ID :- 2017407
Team / Division :- Lifecycle Innovation & Optimization (LIO) / CPCCE
Work Mode :- Hybrid
Employment Type :- Full Time / Permanent
Experience Level :- 2 to 3+ Years
Posting Recency :- Active
Location :- Bangalore, Karnataka, India
Within Cisco IT, the Lifecycle Innovation & Optimization (LIO) group operates with the mission to deliver unified solutions under the principle of One Team. One Experience. One Cisco.
As part of LIO, the Customer & Partner Communities & Compensation Engineering (CPCCE) team builds digital capabilities that support the Partner Incentives and Metrics component. This team drives Cisco’s recurring revenue transformation by integrating Artificial Intelligence (AI) extensively across CRM architectures, data frameworks, sales governance, and partner compensation platforms.
AI-Driven End-to-End Solution Delivery
- Feature Development: Design, develop, and unit test AI-enabled features using Cisco Preferred LLM, Cisco LLM, SDLC Agents, and GitHub Copilot for Code support.
- Maintenance & Reliability: Maintain and improve production AI solutions to ensure long-term maintainability, high performance, and system reliability.
- Bug & Incident Resolution: Investigate and resolve bugs, data discrepancies, performance bottlenecks, and security concerns using AI tools to streamline the development lifecycle.
Engineering Architecture & Process Improvement
- Process Definition: Define engineering best practices and establish development scope leveraging AI-driven workflows.
- Agile & Ops Collaboration: Collaborate closely with Business System Analysts (BSAs) and Product Owners to deliver prioritized features across Solution and Execution phases in Agile Ops mode.
- Education & Experience:
- 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.
- Core GenAI & Architecture Skills: Proven understanding of Generative AI capabilities, N-Tier architectural concepts, and Harness Engineering across code-design-test-deploy cycles.
- Programming Languages: Strong hands‑on coding skills in Python, Java, Full Stack development, and Snowflake backend queries.
- Data & Machine Learning: Practical knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Distributed Systems: Hands‑on experience building distributed backend systems utilizing Snowflake data platform.
- CI/CD & Developer Tools: Proficiency with Jira, Confluence, Jenkins, GitHub Copilot, BOTs/Agents, and automated CI/CD pipelines.
- Methodology: Practical experience working within Agile development frameworks.
Preferred Qualifications
- Advanced experience in implementing LLM agents, SDLC bots, and code generation acceleration workflows.
- Strong communication and organizational skills with a history of success in cross‑functional team environments.
- Pay Package Structure: Compensation packages at Cisco typically include competitive base pay, annual performance bonuses, stock units/options, medical coverage, and employee wellness allowances.
- Culture & Impact: Hybrid working model in Bangalore with access to Cisco’s global technology network, continuous learning programs, and collaborative work environment.
Cisco’s recruitment process for Software Engineer (AI) positions generally follows this sequence:
1. Online Application Screening (Requisition ID: 2017407) ↓2. Online Assessment (Data Structures, Python/Java Coding & AI/ML Concepts) ↓3. Technical Interview 1 (GenAI Concepts, Python/Java Deep Dive & Backend Systems) ↓4. Technical Interview 2 (Snowflake, N-Tier System Design, Agentic Workflows & CI/CD) ↓5. Managerial & HR Round (Agile Ops Mode, Collaboration & Cultural Alignment)
Company :- Cisco Systems, Inc.
Job Title :- Software Engineer (AI)
Job Requisition ID :- 2017407
Team / Division :- Lifecycle Innovation & Optimization (LIO) / CPCCE
Work Mode :- Hybrid
Employment Type :- Full Time / Permanent
Experience Level :- 2 to 3+ Years
Posting Recency :- Active
Location :- Bangalore, Karnataka, India
Within Cisco IT, the Lifecycle Innovation & Optimization (LIO) group operates with the mission to deliver unified solutions under the principle of One Team. One Experience. One Cisco.
As part of LIO, the Customer & Partner Communities & Compensation Engineering (CPCCE) team builds digital capabilities that support the Partner Incentives and Metrics component. This team drives Cisco’s recurring revenue transformation by integrating Artificial Intelligence (AI) extensively across CRM architectures, data frameworks, sales governance, and partner compensation platforms.
AI-Driven End-to-End Solution Delivery
- Feature Development: Design, develop, and unit test AI-enabled features using Cisco Preferred LLM, Cisco LLM, SDLC Agents, and GitHub Copilot for Code support.
- Maintenance & Reliability: Maintain and improve production AI solutions to ensure long-term maintainability, high performance, and system reliability.
- Bug & Incident Resolution: Investigate and resolve bugs, data discrepancies, performance bottlenecks, and security concerns using AI tools to streamline the development lifecycle.
Engineering Architecture & Process Improvement
- Process Definition: Define engineering best practices and establish development scope leveraging AI-driven workflows.
- Agile & Ops Collaboration: Collaborate closely with Business System Analysts (BSAs) and Product Owners to deliver prioritized features across Solution and Execution phases in Agile Ops mode.
Minimum Requirements
- Education & Experience:
- 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.
- Core GenAI & Architecture Skills: Proven understanding of Generative AI capabilities, N-Tier architectural concepts, and Harness Engineering across code-design-test-deploy cycles.
- Programming Languages: Strong hands‑on coding skills in Python, Java, Full Stack development, and Snowflake backend queries.
- Data & Machine Learning: Practical knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Distributed Systems: Hands‑on experience building distributed backend systems utilizing Snowflake data platform.
- CI/CD & Developer Tools: Proficiency with Jira, Confluence, Jenkins, GitHub Copilot, BOTs/Agents, and automated CI/CD pipelines.
- Methodology: Practical experience working within Agile development frameworks.
Preferred Qualifications
- Advanced experience in implementing LLM agents, SDLC bots, and code generation acceleration workflows.
- Strong communication and organizational skills with a history of success in cross‑functional team environments.
Estimated Compensation & Pay Package
- Pay Package Structure: Compensation packages at Cisco typically include competitive base pay, annual performance bonuses, stock units/options, medical coverage, and employee wellness allowances.
- Culture & Impact: Hybrid working model in Bangalore with access to Cisco’s global technology network, continuous learning programs, and collaborative work environment.
Cisco’s recruitment process for Software Engineer (AI) positions generally follows this sequence:
1. Online Application Screening (Requisition ID: 2017407) ↓2. Online Assessment (Data Structures, Python/Java Coding & AI/ML Concepts) ↓3. Technical Interview 1 (GenAI Concepts, Python/Java Deep Dive & Backend Systems) ↓4. Technical Interview 2 (Snowflake, N-Tier System Design, Agentic Workflows & CI/CD) ↓5. Managerial & HR Round (Agile Ops Mode, Collaboration & Cultural Alignment)
- Generative AI & LLM Integration: Prompt engineering, fine-tuning, SDLC AI agents, GitHub Copilot integration, and model evaluation metrics.
- Backend & Distributed Systems: N-Tier system architecture, REST APIs, Snowflake data integration, and distributed system scalability.
- Core Software Engineering: OOP principles in Java/Python, data structures, dynamic programming, and clean code principles.
- CI/CD & DevOps: Pipeline automation with Jenkins, git-based workflows, automated testing frameworks, and deployment automation.
Incorporate these targeted keywords into your application profile to ensure maximum alignment with Cisco’s Applicant Tracking System (ATS):
- Generative AI (GenAI) & LLMs
- Software Engineer – AI Development
- Python / Java / Full Stack Development
- Snowflake Distributed Backend
- Harness Engineering & N‑Tier Architecture
- Data Preprocessing & Feature Engineering
- GitHub Copilot / SDLC Agents / BOTs
- CI/CD Pipelines & Jenkins Automation
- Agile / Scrum Methodology
- Customer & Partner Compensation Engineering
- Production Solution Maintenance
- Bug Resolution & Root Cause Analysis
- Cross-Functional Collaboration & BSA Alignment
1. What is the Job Requisition ID for this role at Cisco?
The job requisition ID for this role is 2017407.
2. What is the work mode and location for this engineering role?
This is a Hybrid position based in Bangalore, Karnataka, India.
3. What are the minimum experience requirements?
Candidates need a Bachelor’s degree with 3+ years of experience OR a Master’s degree with 2+ years of relevant experience in Computer Science, AI/ML Engineering, or related technical disciplines.
4. What primary programming languages are required for this role?
Strong programming skills in Python, Java, and experience with Snowflake backend development are required.
5. What business unit will this engineer be joining?
The role sits within Cisco IT’s Lifecycle Innovation & Optimization (LIO) division under the Customer & Partner Communities & Compensation Engineering (CPCCE) team.
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