Description : We are a leading provider of telecom analytics solutions

Role : GenAI/LLM Engineer Domain-Specific AI Solutions (Telecom)

About the Job :

We are seeking a highly skilled GenAI/LLM Engineer to design, fine-tune, and operationalize Large Language Models (LLMs) for telecom business applications. This role will be instrumental in building domain-specific GenAI solutions, including the development of domain-specific LLMs, to transform telecom operational processes, customer interactions, and internal decision-making workflows.

Roles & Responsibility :

- Build domain-specific LLMs by curating domain-relevant datasets and training/fine-tuning LLMs tailored for telecom use cases.

- Fine-tune pre-trained LLMs (e.g., GPT, Llama, Mistral) using telecom-specific datasets to improve task accuracy and relevance.

- Design and implement prompt engineering frameworks, optimize prompt construction and context strategies for telco-specific queries and processes.

- Develop Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases (e.g., FAISS, Pinecone) to enhance LLM performance on internal knowledge.

- Build multi-agent LLM pipelines using orchestration tools (LangChain, LlamaIndex) to support complex telecom workflows.

- Collaborate cross-functionally with data engineers, product teams, and domain experts to translate telecom business logic into GenAI workflows.

- Conduct systematic model evaluation focused on minimizing hallucinations, improving domain-specific accuracy, and tracking performance improvements on business KPIs.

- Contribute to the development of internal reusable GenAI modules, coding standards, and best practices documentation.

Desired Profile :

- Familiarity with multi-modal LLMs (text + tabular/time-series).

- Experience with OpenAI function calling, LangGraph, or agent-based orchestration.

- Exposure to telecom datasets (e.g., call records, customer tickets, network logs).

- Experience with low-latency inference optimization (e.g., quantization, distillation).

Technical Skills :

- 8+ years of professional experience in AI/ML, with at least 2+ years of practical exposure to LLMs or GenAI deployments.

Educational Qualification :

- Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field.

- Ph.D. preferred for foundational model work and advanced research focus.

Location : Bangalore Preferred (Optional Mumbai / Gurgaon)