Software Engineer (Agentic AI, LLM, Python | 5 to 8 Years)

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5-8 yearsSkills: ["Mentoring engineers","Cross-functional collaboration","Stakeholder alignment","Executive-ready communication","Technical storytelling"]

Design and build scalable Python backend systems and data pipelines, aligning with overall backend/data/cloud/AI architecture. Lead development of Agentic AI/LLM solutions using LangGraph and RAG architectures, optimizing token usage, latency, throughput, and cost. Drive cloud-native architecture on AWS with distributed systems and production issue resolution. Create technical documentation, mentor engineers, and partner with stakeholders to connect technical strategy to business goals.

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FursaFursa
Cisco
Cisco
5 days ago

Software Engineer (Agentic AI, LLM, Python | 5 to 8 Years)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design and build scalable Python backend systems and data pipelines, aligning with overall backend/data/cloud/AI architecture. Lead development of Agentic AI/LLM solutions using LangGraph and RAG architectures, optimizing token usage, latency, throughput, and cost. Drive cloud-native architecture on AWS with distributed systems and production issue resolution. Create technical documentation, mentor engineers, and partner with stakeholders to connect technical strategy to business goals.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead design of scalable Python backend systems and data pipelines aligned with backend/data/cloud/AI architecture.
  • •Drive architecture and development of complex Agentic AI/LLM systems using LangGraph.
  • •Establish standards for AI/RAG architecture, APIs, databases, and distributed systems.
  • •Optimize LLM performance across token, latency, and cost for production systems.
  • •Mentor engineers, influence engineering standards and technical direction, and lead complex technical/production issues across teams.

Key Requirements

  • •5 to 10 years of hands-on experience in machine learning engineering, backend development, and applied AI.
  • •Deep experience with Agentic AI, LLM applications, LangGraph, and RAG architectures.
  • •Proven experience operationalizing and deploying deep learning/LLM models in production, including versioned prompts, runtime safeguards, and rollback strategy.
  • •Strong experience defining and implementing token, latency, throughput, and cost optimization strategies for LLM systems.
  • •Expertise in Python, backend engineering, distributed systems, and LLM evaluation/observability tooling (e.g., LangSmith or equivalent).
Experience:5-8 yearsMachine learningLLMAgentic AIBackend developmentCloudDistributed systemsRAG
Skills:Mentoring engineersCross-functional collaborationStakeholder alignmentExecutive-ready communicationTechnical storytelling
Tech Stack:PythonLangGraphRAGLangSmithAWSS3SQSSNSLambdaDockerKubernetesETLAPIsDistributed systemsModel Context Protocol

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
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