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

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5-10 yearsSkills: ["Secure coding","Technical leadership","Mentoring","Cross-functional collaboration","Technical documentation"]

Build and debug scalable Python backend systems and data pipelines that power Cisco’s Agentic AI/LLM platform. Lead architecture and development of complex LangGraph and RAG-based solutions, including LLM performance and token/latency/cost optimization. Drive AWS/cloud-native implementations using serverless and container technologies, and establish distributed-systems and API/database standards. Collaborate cross-functionally with design and product teams while mentoring engineers and influencing engineering direction.

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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

Build and debug scalable Python backend systems and data pipelines that power Cisco’s Agentic AI/LLM platform. Lead architecture and development of complex LangGraph and RAG-based solutions, including LLM performance and token/latency/cost optimization. Drive AWS/cloud-native implementations using serverless and container technologies, and establish distributed-systems and API/database standards. Collaborate cross-functionally with design and product teams while mentoring engineers and influencing engineering direction.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Align to overall architecture and technical design for backend, data, cloud, and AI platforms.
  • •Lead the design of scalable Python backend systems and data pipelines.
  • •Drive architecture and development of complex Agentic AI/LLM systems using LangGraph and define AI/RAG architecture standards.
  • •Drive AWS and cloud-native architecture using S3, SQS, SNS, Lambda, Docker, and Kubernetes, and optimize LLM performance and costs.
  • •Debug production issues, mentor engineers, and partner with stakeholders to align technical strategy with business goals.

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.
  • •Proven experience deploying LangGraph and multi-agent workloads with versioned prompts, runtime safeguards, and rollback strategies.
  • •Strong expertise in Python, backend engineering, distributed systems, and LLM performance optimization (token, latency, throughput, cost).
Experience:5-10 yearsMachine learningBackend developmentLLM applicationsDistributed systems
Skills:Secure codingTechnical leadershipMentoringCross-functional collaborationTechnical documentation
Tech Stack:PythonLangGraphRAGAWSS3SQSSNSLambdaDockerKubernetesETLLangSmithModel Context ProtocolAPIsDatabasesDistributed systems

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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