Senior AI Engineer

About Us

Founded in 1972, Atari is one of the world’s most iconic consumer brands and a pioneer in the video game industry, known for creating classics like Pong, Asteroids, and Centipede. Today, Atari Inc. continues to build on its legacy by developing games, hardware, and experiences that honor the past while driving innovation for the future.

Over the past two years, we've been building Atari India, a growing team that plays a critical role in supporting our global operations. We're proud of the team we've assembled so far, and we’re just getting started. As part of a lean, high-impact organization, the team in India works closely with colleagues in North America and Europe on projects that move the company forward. Whether you're helping launch a new game, keeping our infrastructure secure, or supporting day-to-day operations, your work here matters. Join us as we continue to grow Atari India and build the future of a legendary brand.

• Position: Senior AI Engineer
• Experience: 5+ years in AI/ML engineering, with 3+ years in production AI systems
• Location: Netaji Subhash Place, Pitampura, Delhi
• Employment Type: Full-Time
• Reports to: Senior Director of Technology

About the Role

We're seeking a Senior AI Engineer to lead cutting-edge AI/ML solutions across multiple initiatives. You'll combine hands-on development with strategic thinking, working on projects from intelligent automation to predictive analytics while shaping our AI strategy.

Responsibilities

• Design, develop, and deploy production AI/ML models for intelligent automation, predictive systems, pattern recognition, and decision support
• Research and experiment with state-of-the-art AI techniques (deep learning, NLP, computer vision, RL) to identify new opportunities
• Build and optimize ML infrastructure including training pipelines, model serving, data preprocessing, and monitoring frameworks
• Develop transformation systems that process structured data, understand patterns, and enable intelligent cross-platform automation
• Integrate LLMs using LangChain, LlamaIndex, and similar frameworks to create conversational systems, document processing, and automated workflows
• Design agentic AI systems that autonomously interact with tools, APIs, and services to accomplish multi-step tasks
• Build integrations between AI systems and third-party applications via RESTful APIs, webhooks, and event-driven architectures
• Collaborate with product, engineering, and data science teams to identify AI opportunities and integrate capabilities
• Establish ML best practices including versioning, A/B testing, monitoring, and continuous improvement processes
• Stay current with AI research, evaluate emerging technologies, and recommend strategic investments
• Mentor junior engineers, conduct code reviews, and build strong AI engineering culture

Requirements

• 5+ in AI/ML engineering with proven track record deploying production AI systems, especially LLM-based applications and intelligent automation
• Deep expertise in LangChain, LlamaIndex, or similar LLM frameworks, with strong understanding of prompt engineering, RAG, and AI orchestration
• Strong software engineering skills in Python, JavaScript/TypeScript, RESTful APIs, microservices, and cloud platforms (AWS/Azure/GCP)
• Production experience with LLMs including prompt engineering, fine-tuning, RAG implementation, and managing API limits/costs
• Experience building agentic AI systems and orchestrating workflows that integrate multiple AI models and external services
• Excellent problem-solving, communication skills, and ability to work in cross-functional teams

Bonus Points

• Experience with major LLM providers (OpenAI, Anthropic, Google, Azure OpenAI) and vector databases (Pinecone, Weaviate, ChromaDB) for RAG
• Open-source contributions to LLM frameworks, autonomous agents, or AI orchestration tools
• Production-scale conversational AI, chatbots, or assistants with error handling and context management

Preferred Qualifications

• Master's or Bachelor’s in Computer Science, AI, or related field with focus on ML, NLP, or software engineering
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) for custom model development and fine-tuning

Working Hours: Standard business hours with flexibility for global team collaboration. Some overlap with North American hours may be required for critical phases.