AI Engineer – NLP

Description

We are seeking a skilled AI Engineer with a deep specialization in Natural Language Processing (NLP) to join Digitain’s innovation team. In this role, you will bridge the gap between cutting-edge language models and practical iGaming applications. You will be responsible for building sophisticated RAG (Retrieval-Augmented Generation) systems, speech-processing pipelines, and text classification engines to enhance our customer support, fraud detection, and betting operations. This role requires a blend of prompt engineering, architectural design, and MLOps proficiency to deploy scalable AI solutions.

Responsibilities

• Design and implement end-to-end NLP solutions, specifically focusing on RAG architectures to power internal knowledge bases and customer-facing chatbots
  
• Develop and fine-tune models for Automatic Speech Recognition (ASR/STT) to transcribe live betting calls and Speech-to-Text applications for customer support analysis
  
• Build models to classify user intent, detect toxic behavior, and analyze sentiment to support Responsible Gambling initiatives
  
• Experiment with and optimize Large Language Models (LLMs) using techniques like quantization, fine-tuning (PEFT/LoRA), and prompt engineering to align with business logic
• Write robust, production-ready Python code, ensuring modularity and scalability within a microservices architecture
• Manage the lifecycle of NLP models, including containerization (Docker), orchestration (Kubernetes), and monitoring drift in production environments
• Work closely with backend engineers and product managers to integrate AI features into existing betting platforms and CRM tools

Requirements

• 3+ years in AI/ML engineering with a dedicated focus on NLP tasks
• Expert-level Python skills; strong familiarity with frameworks like PyTorch, TensorFlow, or JAX
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex), Vector Databases (Pinecone, Milvus, or Weaviate), and Hugging Face transformers
• Experience with speech toolkits such as OpenAI Whisper, Kaldi, or similar ASR technologies
• Experience with CI/CD pipelines, API development (FastAPI/Flask), and model serving (Triton, TorchServe)
• Ability to translate complex gambling compliance and user experience requirements into technical AI solutions