Python and AI/ML Developer
Terralogic
Bengaluru, Karnataka, India0–2 yrs9m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 2 years
- Must know
- PythonTroubleshootingOperationsLLMsFastAPIREST APIs
- Nice to have
- Machine learningNetworkingBudgeting
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Listed
- 3 Nov 2026 · still open
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About the Role
Terralogic is seeking an enthusiastic Python and AI/ML Developer to build next-generation AI-powered solutions for network operations, automation, monitoring, and troubleshooting. This role offers a unique opportunity to blend backend development with practical networking concepts, machine learning, and cutting-edge Generative AI.
Key Responsibilities
- Delivering high-quality code on time, collaborating openly with teammates, and growing through constructive feedback.
- Designing and deploying reliable, secure, and high-performance backend microservices and APIs using Python and FastAPI.
- Crafting AI/ML solutions for network health analysis, incident classification, and troubleshooting assistants.
- Building AI agents that can handle network diagnostics and communicate seamlessly using MCP/A2A frameworks.
- Writing smart Python workflows for device discovery, automated configuration checks, and pre/post-change validation.
- Engineering pipelines that ingest, normalize, and analyze large amounts of network logs, telemetry, and event data.
- Implementing access controls and audit logs for AI-assisted actions, while troubleshooting, optimizing performance, and maintaining automated tests.
Requirements & Tech Stack
- Python & Backend Mastery: Strong foundational skills in Python for building production-ready applications, automated scripts, and integrations.
- Experience developing RESTful APIs using FastAPI.
- Understanding of microservices and scalable backend systems.
- AI/ML & Generative AI Curiosity: Hands-on projects or experience with Machine Learning, NLP, Transformers, and Retrieval-Augmented Generation (RAG).
- Familiarity or experience building multi-agent workflows using frameworks like Microsoft Agent Framework, LangGraph, or similar tools.
- Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication is a plus.
- Comfort with preparing data, evaluating models, and integrating AI/ML capabilities into applications.
Bonus Points
- Networking certifications such as CCNA, CCNP, or DevNet.
- Experience with Cisco pyATS/Genie for network testing and validation.
- A passion for applying AI/ML to use cases like anomaly detection, time-series forecasting, or root-cause analysis.
- Familiarity with vector databases, embeddings, reranking, and RAG evaluation.
Qualifications
- 0 - 2 years of experience.