Principal AI Engineer
Indexed description
This role combines: AI architecture, production engineering, technical mentorship and cross-team leadership. The ideal candidate will design and deploy AI systems across client’s products while mentoring engineers and establishing best practices for AI development across the organization.
On this position, you will have the opportunity to help define how AI is used across products and platforms, and more:
- Build AI systems used by casinos globally.
- Mentor engineers across the company.
- Design next-generation analytics platforms.
- Influence the AI strategy of a growing technology company.
- Large Language Models (LLMs).
- Retrieval-Augmented Generation (RAG).
- AI agents and autonomous workflows.
- Multimodal AI (text, vision, and data analytics).
- Machine learning and predictive analytics.
- Real-time anomaly detection.
- AI copilots and conversational analytics.
- Production AI infrastructure and MLOps.
JOB RESPONSIBILITY
AI System Architecture & Development
- Design and build scalable AI systems integrated into our client's products.
- Develop machine learning, deep learning, and LLM-based applications.
- Build data pipelines and model deployment workflows for production AI systems.
- Integrate AI capabilities into existing analytics and operational platforms.
- Casino analytics copilots.
- Game performance prediction models.
- Player behavior analytics.
- Real-time anomaly detection for table games.
- Automated reporting and insight generation.
- AI-powered operational assistants for casino operators.
- Retrieval-Augmented Generation (RAG) systems.
- AI copilots for operational analytics.
- AI agents that automate reporting and monitoring.
- Natural language interfaces for casino analytics platforms.
- Serve as the AI subject matter expert across engineering teams.
- Mentor engineers on how to design and deploy AI-powered applications.
- Help teams integrate AI capabilities into existing products.
- Lead internal training sessions and workshops on AI development.
- Model deployment pipelines.
- Experiment tracking.
- Model monitoring.
- Vector databases.
- Data pipelines for AI training and inference.
- design datasets for machine learning.
- improve data pipelines.
- identify AI-driven product opportunities.
- 8+ years of software engineering experience.
- 4+ years building machine learning or AI systems.
- Experience deploying AI systems into production environments.
- Strong programming skills in Python.
- Experience with several of the following: LLM APIs and frameworks, RAG architectures, machine learning frameworks (PyTorch, TensorFlow, etc.), vector databases, data pipelines and feature engineering, model evaluation and experimentation.
- Hand-on experience with AI / ML: Machine Learning, Deep Learning, Natural Language Processing, Predictive Modeling and Anomaly Detection.
- Experience with Infrastructure: Docker, Cloud platforms (AWS, Azure, or GCP), Model serving frameworks and CI/CD pipelines.
- Proficiency with Data: SQL, Large-scale data processing and analytics platforms.
- Leadership & Mentorship: Teach engineers how to design and build AI-powered systems, help teams move from AI experimentation to production systems and Mentor engineers across product teams.
- Experience establishing AI engineering best practices.
- Excellent verbal and written English communication skills.
- Excellent organizational, problem solver, and analytical abilities.
- Outstanding communication, and interpersonal skills.
- Initiative and drive to do great things.
- Experience with computer vision systems.
- Experience with real-time analytics platforms.
- Experience building AI infrastructure or AI platforms.
- Experience mentoring engineering teams.
- Experience designing AI product features.
Read more about us here: www.PlanAtechnologies.com .
Location: On-site in Gurugram/India.
Great colleagues and an upbeat work environment: You'll join an excellent team of supportive engineers and project managers who work hard but don't ever compete with each other.
Benefits: You’ll get a generous vacation schedule, and other goodies.
If this sounds like you, we'd love to hear from you!
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