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Software Engineer (Agentic AI, LLM, Python )

Cisco

Bengaluru

5-10 years

Today

$43.4K–69.9K/yr

Full-time

Hybrid

Skills Required LLM

RAG

Agentic AI

LLM evaluation

LangGraph

Machine Learning

Deep Learning

LangSmith

ETL

Python

AWS

S3

SQS

SNS

Lambda

Description Cisco is hiring a Software Engineer focused on Agentic AI, LLMs, Python, and backend systems. The role emphasizes scalable architecture, production AI systems, and collaboration across product and design.

Company: Cisco

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

Location: Bangalore, India | Hybrid

Experience

- Minimum 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 and 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 token, latency, throughput, and cost optimization strategies for LLM systems
- Experience with LLM evaluation and observability tooling such as LangSmith or equivalent
- Expertise in ETL optimization, including workload-aware scheduling, partition pruning, caching, and storage-format tuning
- Robust expertise in Python, backend engineering, and distributed systems

Responsibilities

- Align with 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 and LLM systems using LangGraph
- Establish standards for AI/RAG architecture, APIs, databases, and distributed systems
- Lead complex technical and production issues across teams
- Mentor engineers and influence engineering standards and technical direction
- Partner with stakeholders to align technical strategy with business goals
- Develop software consistent with Cisco Design Thinking Principles with a focus on simplification and UX
- Use secure coding practices and ensure user privacy
- Create technical design documentation for the team and user documentation for end users
- Debug and address software issues during development and in production systems to support customers
- Bring new ideas for product innovation and improve software development processes

Additional Responsibilities

- Drive AWS and cloud-native architecture using S3, SQS, SNS, Lambda, Docker, and Kubernetes
- Partner with other teams including design and product management to create the right solution for customers

Nice To Have





- Demonstrated ability to mentor engineers and lead large-scale, cross-functional initiatives
- Proven ability to align technical strategy with business goals and stakeholder priorities
- Strategic thinker with ability to translate complex requirements into scalable technical solutions
- Knowledge of network technologies and enterprise platform integration patterns
- Strong written and verbal communication, including executive-ready technical storytelling
- Experience integrating Model Context Protocol and related AI tool ecosystems

More Skills machine learning engineering, backend development, applied AI, Docker, Kubernetes, AI/RAG architecture, APIs, databases, distributed systems, ETL optimization, Model Context Protocol

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