Senior Software Engineer (AI-Driven Applications)

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Atari, Poundiuproda, Korba, Chhattisgarh
In-Office
Senior level
Gaming • Software
The Role
The role involves developing AI-driven applications, integrating machine learning models, building scalable architectures, and optimizing performance. Collaboration with data scientists is key for enhancing product usability.
Summary Generated by Built In
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 Software Engineer (AI-Driven Applications)
  • 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
  • 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.
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) and frameworks like LangChain or LlamaIndex.
  • Experience with containerization (Docker) and deployment on major cloud platforms (AWS, GCP).
Bonus Points
  • 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 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)

Top Skills

Angular
AWS
Chroma
Claude
Docker
GCP
Gemini
JavaScript
Langchain
Llamaindex
MySQL
Node.js
Openai
Pinecone
Postgres
Python
React
Typescript
Vue
Weaviate
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The Company
HQ: New York, New York
815 Employees
Year Founded: 1972

What We Do

Atari is a multi-platform, global interactive entertainment and licensing company. The original innovator of video gaming, founded in 1972, Atari owns and/or manages a portfolio of more than 200 games and franchises, including world renowned brands like Asteroids®, Centipede®, Missile Command®, Pong®, Test Drive®, Backyard Sports®, Ghostbusters®, and Rollercoaster Tycoon®. Atari capitalizes on these powerful properties by delivering compelling games online (i.e. browser, Facebook® and digital download), on smartphones and tablets and other connected devices. The Company also develops and distributes interactive entertainment for video game consoles from Microsoft, Nintendo and Sony. As a licensor, Atari extends its brand and franchises into other media, merchandising and publishing categories. In 2018, Atari relaunched its hardware business with its first new game system in years, the Atari VCS.

Atari is listed on NYSE Euronext Paris stock exchange.

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