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

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5-8 yearsSkills: ["Secure coding","Debugging","Mentorship","Cross-functional collaboration","Technical communication"]

Build secure, production-ready backend and data pipeline systems while partnering with design and product teams to deliver customer-focused solutions. Lead architecture for Agentic AI/LLM systems using LangGraph and define LLM performance optimization strategies across token, latency, and cost. Drive AWS/cloud-native implementations with scalable distributed systems, debug complex production issues, and mentor engineers to set technical direction and engineering standards.

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FursaFursa
Cisco
Cisco
5 days ago

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

✓ Verified Job

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

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

Job Summary

Build secure, production-ready backend and data pipeline systems while partnering with design and product teams to deliver customer-focused solutions. Lead architecture for Agentic AI/LLM systems using LangGraph and define LLM performance optimization strategies across token, latency, and cost. Drive AWS/cloud-native implementations with scalable distributed systems, debug complex production issues, and mentor engineers to set technical direction and engineering standards.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Align to overall architecture and technical design across backend, data, cloud, and AI platforms.
  • •Lead scalable Python backend systems and data pipeline design.
  • •Drive architecture and development of complex Agentic AI/LLM systems using LangGraph, including LLM performance and cost optimization.
  • •Establish AI/RAG architecture standards spanning APIs, databases, and distributed systems; implement AWS/cloud-native architecture.
  • •Debug and resolve complex software issues in development and production, and mentor engineers while influencing engineering standards and technical direction.

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 deep learning/LLM models in production and deploying LangGraph multi-agent workloads with safeguards and rollback strategy.
  • •Strong experience defining and implementing token, latency, throughput, and cost optimization strategies for LLM systems.
  • •Strong expertise in Python, backend engineering, ETL optimization, and distributed systems; experience with LLM evaluation and observability tooling.
Experience:5-8 yearsMachine learningLLMAgentic AIProduction AIDistributed systems
Skills:Secure codingDebuggingMentorshipCross-functional collaborationTechnical communication
Tech Stack:PythonLangGraphRAGAgentic AILangSmithETLAWSS3SQSSNSLambdaDockerKubernetesDistributed systemsModel Context ProtocolRAG architecturesAPIs

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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