Senior AI Engineer

Overview

We are seeking an exceptional Full Stack Developer (AI Applications) to build and scale the next generation of AI-driven products at Atari. This role requires deep expertise across the entire application stack, with a strong focus on integrating and optimizing Generative AI and Machine Learning models as core product components. The ideal candidate will bridge the gap between data science and product engineering — transforming data models into intelligent, user-facing features that enhance product performance, usability, and value. What You'll Do

• Full Stack Application Development
• Architecture & Design: Design and implement scalable, high-performance architectures for front-end interfaces (React, Vue, or Angular) and back-end microservices (Python/Node.js). - API Development: Build, document, and secure efficient RESTful or GraphQL APIs to enable seamless data and model communication across systems. - Data Persistence: Configure and optimize data models in relational (PostgreSQL, MySQL) and non-relational Vector Databases to support AI workloads. - Testing & CI/CD: Develop unit, integration, and end-to-end tests; manage deployment pipelines ensuring quality, stability, and reliability. - AI Product Integration and MLOps Focus
• Model Implementation: Integrate Large Language Models (LLMs) and machine learning artifacts into production environments with an emphasis on latency, reliability, and cost efficiency. - RAG System Engineering: Lead the design and development of Retrieval-Augmented Generation (RAG) systems — managing data chunking, embedding, indexing, and retrieval for contextual responses. - Performance Optimization: Improve AI application responsiveness via prompt engineering, caching, and inference optimization. - Cross-Functional Collaboration: Work closely with Data Scientists and MLOps Engineers to deploy, monitor, and continuously improve AI systems in production. Qualifications

Required

• 5+ years of experience as a Full Stack Software Engineer, including at least 1 year of hands-on AI/ML integration experience. - Strong front-end development skills in TypeScript/JavaScript and frameworks like React or Next.js. - Advanced back-end development experience in Python (preferred) or Node.js, with proven ability to build scalable APIs. - Proficiency with LLM APIs (OpenAI, Gemini, Claude) and frameworks like LangChain or LlamaIndex. - Experience with containerization (Docker) and deployment on major cloud platforms (AWS, GCP). Good-to-Have

• Hands-on experience building or maintaining RAG pipelines. - Exposure to vector databases (Pinecone, Weaviate, Chroma). - Familiarity with CI/CD automation for ML-integrated applications. Preferred

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field. - Strong understanding of MLOps principles and AI model lifecycle management. - Familiarity with cloud-based orchestration (Kubernetes) and infrastructure-as-code concepts.