DC2025017 || Software Engineer (AI/ML: Agentic AI)

Job Description**Job Title: AI/ML Engineer (Agentic AI, LLMs, Deep Learning) **

**Experience Level: ** 3–4 Years

**Job Type: ** Full-Time

**About the Role: **

We are seeking a skilled and motivated AI/ML Engineer to join our team in building intelligent, agentic systems for the casino gaming domain. The ideal candidate will have hands-on experience with agent frameworks—particularly LangGraph—and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering.

**Responsibilities: **

• Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks
• Collaborate on the development and fine-tuning of both open-source and proprietary LLMs
• Develop robust RESTful APIs using frameworks such as FastAPI or Flask to support AI model deployment and integration
• Conduct experimentation and evaluation of foundational models and neural network architectures
• Maintain and enhance model performance through data curation, retraining, and optimization
• Contribute to technical design discussions and participate in architecture reviews
• Stay updated with emerging research and advancements in AI/ML, especially in reinforcement learning, agent design, and LLM systems

**Requirements: **

• 3–4 years of professional experience in machine learning and applied AI
• Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
• Hands-on experience with agentic AI frameworks (LangGraph preferred)
• Strong understanding of foundational models, neural networks, and deep learning principles
• Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude)
• Solid experience in building and maintaining RESTful APIs using FastAPI or Flask
• Bachelor’s degree in computer science, Engineering, or a related field (master’s preferred)

**Nice to Have: **

• Experience in the gaming or casino domain
• Familiarity with MLOps tools and model deployment pipelines