Build a career without boundaries

Couture AI provides cutting-edge pluggable building blocks for the entire AI stack. These components enable enterprises to build and scale machine learning (ML) and deep learning (DL) solutions, addressing diverse use cases. Our platform is utilized by some of the world's largest organizations to deploy vertical-specific products built on our proprietary AI infrastructure.

Bachelor's degree in Computer Science, Mathematics, or a related field (preferably from Tier-1 institutions like IITs, IISc, BITS, IIITs, or globally recognized universities) with a strong academic track record.

Experience integrating Rust with Python for AI workloads.

Experience with Rust frameworks such as Actix, Axum, or Rocket.

Design, develop, and maintain backend services and APIs using Rust.

Build scalable, high-performance, and low-latency systems optimized for AI workloads.

Collaborate with AI/ML engineers, data scientists, and frontend developers to integrate AI models into production systems.

Implement secure, efficient, and well-tested backend solutions, ensuring best practices in concurrency, memory management, and distributed computing.

Optimize system performance, handling large-scale data processing and real-time AI inference workloads.

Develop and maintain database solutions (SQL/NoSQL) for AI-driven applications.

Ensure code quality through automated testing, code reviews, and continuous integration.

Participate in architectural discussions and contribute to the overall technical strategy.

2+ years of experience in backend development with Rust.

Strong understanding of asynchronous programming, memory safety, and performance optimization in Rust.

Experience with RESTful APIs, gRPC, and WebSockets.

Knowledge of database technologies (PostgreSQL, Redis, or other NoSQL/SQL databases).

Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).

Understanding of security best practices for backend services.

Experience working with AI/ML pipelines, data streaming, or real-time data processing is a plus.

Knowledge of message brokers like Kafka, RabbitMQ, or NATS is a plus.

Strong problem-solving skills and ability to work in a fast-paced AI-driven environment.

Experience in distributed systems, microservices architecture, and event-driven architectures.

Contributions to open-source Rust projects.

Familiarity with WebAssembly (Wasm) and its applications in AI/ML.