Sr. AI Engineer

Position: Senior AI Engineer

• Experience: 5+ Years
• Location: Netaji Subhash Place, Pitampura, Delhi.
• Employment Type: Full-Time

About the Role

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.

Responsibilities

A. 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.

B. 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.
• Requirements
• 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), frameworks like LangChain or LlamaIndex, and Hands-on experience with Claude Code and Model Context Protocol (MCP).
• Experience with containerization (Docker) and deployment on major cloud platforms (AWS, GCP).

Bonus Points

• Hands-on experience building or maintaining RAG pipelines.
• Familiarity with Claude Code and Model Context Protocol (MCP).
• Exposure to vector databases (Pinecone, Weaviate, Chroma).
• Familiarity with CI/CD automation for ML-integrated applications.

Preferred Qualifications

• 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.

Working Hours: 9:00 AM - 6:00 PM (IST)