AI Software Engineer

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 projects - Demonstrated ability to build and deploy production-grade applications serving thousands of users - Experience building AI-powered features or integrating LLM-based services into applications Frontend Expertise - Strong proficiency in React and modern JavaScript/TypeScript - Experience with state management libraries (Redux, Zustand, React Query) - Knowledge of Next.js, server-side rendering, and static site generation - Familiarity with modern CSS frameworks (Tailwind CSS, Material-UI, shadcn/ui) - Understanding of responsive design principles and mobile-first development Backend Expertise - Proficiency in at least one backend language: Node.js (Express, NestJS), Go, or Python (FastAPI, Django) - Strong understanding of RESTful API design and GraphQL - Experience with microservices architecture and event-driven systems - Knowledge of authentication/authorization (OAuth, JWT, SSO) - Experience with payment integrations (Stripe, Razorpay) and transaction flows is a plus Database Knowledge - Strong experience with relational databases (PostgreSQL, MySQL) including schema design and query optimization - Proficiency with NoSQL databases (MongoDB, Redis) for caching and document storage - Understanding of database indexing, migrations, and performance tuning - Experience 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 conversations - Understanding of embedding models, vector databases and semantic search - Familiarity with AI frameworks (LangChain, LlamaIndex) is a plus - Basic understanding of model training, fine-tuning, and deployment concepts Scalability & System Design - Understanding of distributed systems, caching strategies, and load balancing - Experience designing systems for high availability and fault tolerance - Knowledge of message queues (RabbitMQ, Kafka, SQS) and pub/sub patterns - Ability to conduct system design discussions and architecture reviews Soft Skills - A proactive, innovative mindset paired with a collaborative spirit - Exceptional problem-solving skills and the ability to break down complex problems - Strong communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders - Passion for staying ahead of technological trends and driving forward-thinking solutions - Ability to work in a fast-paced startup environment and adapt to changing priorities - Strong sense of ownership and accountability for delivered features