GenAI Engineer

About the job

Key Responsibility: GenAI Solution Development 1. Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators). 2. Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance. 3. Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS / BSS, network data, and knowledge bases. AI / ML Engineering: 1. Collaborate with data engineers to build telecom-specific feature stores and data pipelines. 2. Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate them with GenAI workflows. 3. Optimize models for low-latency inference in real-time network environments. Skills Required: Core Technical Skills 1. Strong hands-on experience with GenAI frameworks: LangChain, LlamaIndex, HuggingFace Transformers, RAG implementations. 2. Proficiency in Python (must-have), with experience in building APIs / microservices (FastAPI / Flask / Django). 3. Knowledge of Vector Databases (Pinecone, Weaviate, Milvus, FAISS). 4. Cloud experience with Azure OpenAI, AWS Bedrock, or GCP Vertex AI. 5. Experience in fine-tuning / few-shot prompting for LLMs. 6. Familiarity with MLOps / LLMOps pipelines (MLflow, Kubeflow, or equivalent). Telecom Network Skills 1. Understanding of OSS / BSS systems and telecom network data flows. 2. Exposure to domains such as RAN KPIs, Transport performance, Fault / Event / Alarm management, Network Planning, Telco Cloud orchestration. 3. Experience in applying AI / ML to telecom datasets (KPI prediction, anomaly detection, alarm correlation, capacity planning).

Requirements

• GenAI
• LLM
• Telecom
• Python
• APIs
• MLOps

Preferred Technologies

• GenAI
• LLM
• Telecom
• Python
• APIs
• MLOps

About the company

Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that offers a comprehensive portfolio of services to help customers in their digital transformation journey.