About us :
Pixis is a global AI technology company transforming how brands plan, create, and optimize marketing. Our flagship marketing operating system, Prism, sits at the core of the Pixis platform, using AI to turn fragmented performance data into clear, actionable insights and directly into execution. With native integrations across major ad platforms, built-in creative intelligence, and a secure, enterprise-ready infrastructure, Pixis helps marketing, creative, and strategy teams move from idea to action in minutes instead of weeks. The company’s mission is to eliminate manual workflows and replace them with intelligent, role-aware systems that scale strategy, creative, and performance without increasing team size
The company has raised a total funding of $209M across Series A, B, C and C1 , and is backed by recognized investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital and Chiratae Ventures.
Our customer base includes global brands such as DHL Express, Joe & The Juice, Claroshop, Allbirds, L’Oreal, HDFC Bank, Skoda, Swiggy, Clar and SmartAsset, to name a few Today Pixis’ talented and diverse team of 300+ spread across over 14 geographies is focused on building incredibly transformative AI products to help customers get the most out of their marketing and demand generation efforts.
Get ready to embark on an AI venture at https : / / pixis.ai /
Why Pixis?
We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together
Key Responsibilities
As an AI Software Engineer at Pixis, you will be at the forefront of designing and implementing next-generation AI-powered applications that drive real business impact. Your contributions will directly shape our suite of AI-powered products used by industry-leading enterprises.
Requirements & Skills :
Educational Background
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
Professional Experience
2–4 years of proven, hands-on experience in full-stack development with exposure to AI / ML projectsDemonstrated ability to build and deploy production-grade applications serving thousands of usersExperience building AI-powered features or integrating LLM-based services into applicationsFrontend Expertise
Strong proficiency in React and modern JavaScript / TypeScriptExperience with state management libraries (Redux, Zustand, React Query)Knowledge of Next.js, server-side rendering, and static site generationFamiliarity with modern CSS frameworks (Tailwind CSS, Material-UI, shadcn / ui)Understanding of responsive design principles and mobile-first developmentBackend Expertise
Proficiency in at least one backend language : Node.js (Express, NestJS), Go, or Python (FastAPI, Django)Strong understanding of RESTful API design and GraphQLExperience with microservices architecture and event-driven systemsKnowledge of authentication / authorization (OAuth, JWT, SSO)Experience with payment integrations (Stripe, Razorpay) and transaction flows is a plusDatabase Knowledge
Strong experience with relational databases (PostgreSQL, MySQL) including schema design and query optimizationProficiency with NoSQL databases (MongoDB, Redis) for caching and document storageUnderstanding of database indexing, migrations, and performance tuningExperience with ORMs (Prisma, TypeORM, SQLAlchemy)AI / ML Integration
Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini)Knowledge of prompt engineering, context management, and multi-turn conversationsUnderstanding of embedding models, vector databases and semantic searchFamiliarity with AI frameworks (LangChain, LlamaIndex) is a plusBasic understanding of model training, fine-tuning, and deployment conceptsScalability & System Design
Understanding of distributed systems, caching strategies, and load balancingExperience designing systems for high availability and fault toleranceKnowledge of message queues (RabbitMQ, Kafka, SQS) and pub / sub patternsAbility to conduct system design discussions and architecture reviewsSoft Skills
A proactive, innovative mindset paired with a collaborative spiritExceptional problem-solving skills and the ability to break down complex problemsStrong communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholdersPassion for staying ahead of technological trends and driving forward-thinking solutionsAbility to work in a fast-paced startup environment and adapt to changing prioritiesStrong sense of ownership and accountability for delivered features