Agentic AI Engineer - Telecom Network

Job Description:

Role: Gen AI Engineer - Telecom Networks

Key Responsibility:

GenAI Solution Development

§ Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators).

§ Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance.

§ Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS/BSS, network data, and knowledge bases.

§ AI/ML Engineering

§ Collaborate with data engineers to build telecom-specific feature stores and data pipelines.

§ Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate them with GenAI workflows.

§ Optimize models for low-latency inference in real-time network environments.

Core Technical Skills

§ Strong hands-on experience with GenAI frameworks: LangChain, LlamaIndex, HuggingFace Transformers, RAG implementations.

§ Proficiency in Python (must-have), with experience in building APIs/microservices (FastAPI/Flask/Django).

§ Knowledge of Vector Databases (Pinecone, Weaviate, Milvus, FAISS).

§ Cloud experience with Azure OpenAI, AWS Bedrock, or GCP Vertex AI.

§ Experience in fine-tuning/few-shot prompting for LLMs.

§ Familiarity with MLOps/LLMOps pipelines (MLflow, Kubeflow, or equivalent).

Telecom Network Skills

§ Understanding of OSS/BSS systems and telecom network data flows.

§ Exposure to domains such as RAN KPIs, Transport performance, Fault/Event/Alarm management, Network Planning, Telco Cloud orchestration.

§ Experience in applying AI/ML to telecom datasets (KPI prediction, anomaly detection, alarm correlation, capacity planning).