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

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5-10 yearsSkills: ["Technical documentation","Mentoring","Strategic thinking","Written communication","Verbal communication"]

Design and build scalable Python backend systems, data pipelines, and production-grade Agentic AI/LLM capabilities. Own architecture and development for LangGraph-based multi-agent workflows, including LLM performance and token/latency/cost optimization. Define AI/RAG standards across APIs, databases, and distributed systems while using AWS cloud-native services (S3, SQS, SNS, Lambda, Docker, Kubernetes). Debug issues in production, mentor engineers, and align technical strategy with business goals.

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FursaFursa
Cisco
Cisco
1 day 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
Reposted: similar role first listed 5 days ago

Job Summary

Design and build scalable Python backend systems, data pipelines, and production-grade Agentic AI/LLM capabilities. Own architecture and development for LangGraph-based multi-agent workflows, including LLM performance and token/latency/cost optimization. Define AI/RAG standards across APIs, databases, and distributed systems while using AWS cloud-native services (S3, SQS, SNS, Lambda, Docker, Kubernetes). Debug issues in production, mentor engineers, and align technical strategy with business goals.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Align with overall backend, data, cloud, and AI architecture and technical design.
  • •Lead scalable Python backend and data pipeline design.
  • •Drive architecture and development of complex Agentic AI/LLM systems using LangGraph.
  • •Define standards for AI/RAG architecture, APIs, databases, and distributed systems.
  • •Lead complex technical and production issue resolution; mentor engineers and influence engineering standards and technical direction.

Key Requirements

  • •Minimum 5 to 10 years of hands-on experience across 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.
  • •Proven experience deploying LangGraph and multi-agent workloads with versioned prompts, runtime safeguards, and rollback strategy.
  • •Strong experience defining and implementing LLM performance optimization (token, latency, throughput, cost) and evaluation/observability tooling (e.g., LangSmith or equivalent).
Experience:5-10 yearsMachine learningBackend developmentApplied AIAgentic AILLM applicationsRAG
Skills:Technical documentationMentoringStrategic thinkingWritten communicationVerbal communication
Tech Stack:PythonLangGraphRAGLLMAgentic AIAWSS3SQSSNSLambdaDockerKubernetesETLETL optimizationToken optimizationLatency optimizationThroughput optimizationCost optimizationLangSmithModel 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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