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Software Engineer (Agentic AI, LLM, Python )

Cisco

Bengaluru

5-10 years

1 day ago

$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

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
Strong 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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Software Engineer (Agentic AI, LLM, Python )

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