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Senior GenAI Engineer

Senior GenAI Engineer

Mobileum

7 years

30 - 62 Lacs

gurugram haryana india

Posted:2 weeks ago| Platform:

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Skills Required

analytics network security risk management testing connect ai design development training tuning mistral engineering strategies retrieval orchestration support data logic model evaluation tracking coding openai latency inference optimization quantization architecture python pytorch ml learning processing research

Work Mode

On-site

Job Type

Full Time

Job Description

About Us

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence.More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs.Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+.

Join Mobileum Team

At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!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

Hands-on experience in fine-tuning transformer models, prompt engineering, and RAG architecture design.
Experience delivering production-ready AI solutions in enterprise environments; telecom exposure is a plus.
Advanced knowledge of transformer architectures, fine-tuning techniques (LoRA, PEFT, adapters), and transfer learning.
Proficiency in Python, with significant experience using PyTorch, Hugging Face Transformers, and related NLP libraries.
Practical expertise in prompt engineering, RAG pipelines, and LLM orchestration tools (LangChain, LlamaIndex).
Ability to build domain-adapted LLMs, from data preparation to final model deployment.

Work Experience

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

Educational Qualification

Master’s 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.

Skills:- Retrieval Augmented Generation (RAG), Large Language Models (LLM), Telecom, Artificial Intelligence (AI), Machine Learning (ML), Generative AI and Data Science

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Senior GenAI Engineer