GenAI/LLM Engineer – Domain-Specific AI Solutions

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. Know our story:https://www.mobileum.com/Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of 1800+.Join Mobileum Team At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? OpportunitiesRole Overview: We are seeking a highly skilledGenAI/LLM Engineerto design, fine-tune, and operationalizeLarge Language Models (LLMs)for telecom business applications. This role will be instrumental in buildingdomain-specific GenAI solutions , including the development ofdomain-specific LLMs , to transform telecom operational processes, customer interactions, and internal decision-making workflows.Key Responsibilities: Build domain-specific LLMsby curating domain-relevant datasets and training/fine-tuning LLMs tailored for telecom use cases. Fine-tunepre-trained LLMs(e.g., GPT, Llama, Mistral) usingtelecom-specific datasetsto improve task accuracy and relevance. Design and implementprompt engineering frameworks , optimize prompt construction and context strategies for telco-specific queries and processes. DevelopRetrieval-Augmented Generation (RAG)pipelines integrated with vector databases (e.g., FAISS, Pinecone) to enhance LLM performance on internal knowledge. Buildmulti-agent LLM pipelinesusing orchestration tools (LangChain, LlamaIndex) to support complex telecom workflows. Collaborate cross-functionally withdata engineers ,product teams , anddomain expertsto translate telecom business logic into GenAI workflows. Conduct systematicmodel evaluationfocused on minimizing hallucinations, improving domain-specific accuracy, and tracking performance improvements on business KPIs. Contribute to the development ofinternal reusable GenAI modules , coding standards, and best practices documentation.Required Skills: Advanced knowledge oftransformer architectures , fine-tuning techniques (LoRA, PEFT, adapters), andtransfer learning . Proficiency inPython , with significant experience usingPyTorch ,Hugging Face Transformers , and related NLP libraries. Practical expertise inprompt engineering ,RAG pipelines , andLLM orchestration tools(LangChain, LlamaIndex). Ability to builddomain-adapted LLMs , from data preparation to final model deployment.Desirable Bonus Skills: Familiarity withmulti-modal LLMs(text + tabular/time-series). Experience withOpenAI function calling ,LangGraph , oragent-based orchestration . Exposure totelecom datasets(e.g., call records, customer tickets, network logs). Experience withlow-latency inference optimization(e.g., quantization, distillation).Experience: 6–8 yearsof professional experience inAI/ML , with at least2+ yearsof practical exposure toLLMsorGenAI deployments . Hands-on experience infine-tuning transformer models , prompt engineering, andRAG architecture design . Experience deliveringproduction-ready AI solutionsin enterprise environments; telecom exposure is a plus. Qualifications: Master’s or Ph.D. inComputer Science ,Artificial Intelligence ,Machine Learning ,Natural Language Processing , or a related field. Ph.D. preferredfor foundational model work and advanced research focus.What We Offer: Opportunity to leadcutting-edge GenAI initiativesin the telecom sector. High ownership of end-to-end productization lifecycle ofdomain-specific LLMs . Collaborative environment withAI, telecom, and product leaders . Competitive compensation with options forrapid career growthin an enterprise AI transformation journey.