Fullstack Software Engineer

• Design and implement scalable backend architectures for AI-powered creative tools and workflows.

• Build high-performance APIs and microservices that handle generative AI inference/training and video/audio processing.

• Design and implement user interfaces that make complex generative AI capabilities intuitive and accessible.

• Develop robust data pipelines for ingesting, processing, and storing large-scale media content.

• Design and maintain database schemas, caching layers, and data storage solutions for multimedia content.

• Build authentication, authorisation, and security systems for enterprise-grade applications.

• Optimise backend performance for low-latency AI inference and high-throughput media processing.

• Integrate backend systems with ML training and inference pipelines.

• Implement monitoring, logging, and alerting systems for production backend services.

• Collaborate with ML engineers to optimise model serving and deployment infrastructure.

This fullstack role has a strong backend emphasis, requiring deep experience in server-side architecture, API design, distributed systems, and frontend frameworks, along with a solid engineering mindset and the ability to work cross-functionally with ML engineers, product, research, and creative teams. As a member of our fullstack engineering team, you'll shape core infrastructure, set best practices, communicate with stakeholders and mentor your peers. We are hiring remotely across the EMEA region., * 5+ years of experience in fullstack software development.

• Strong expertise in server-side programming languages (we use Python).
• Proven experience designing and implementing RESTful APIs and microservices
• architectures.
• Proficiency in modern JavaScript/TypeScript and at least one major frontend
• framework (React, Vue.js, or Angular).
• Deep understanding of database design, optimisation, and management
• (PostgreSQL, Neo4j, Redis).
• Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code
• (Terraform).
• Proficiency with containerisation and orchestration technologies (Docker,
• Kubernetes).
• Strong knowledge of distributed systems, message queues, and event-driven
• architectures.
• Experience with high-performance computing, parallel processing, and optimisation
• techniques.
• Familiarity with CI/CD pipelines, automated testing, and DevOps practices.
• Understanding of system design principles, scalability, and performance optimisation.
• Experience with caching strategies, load balancing, and CDN implementation.
• Experience with CSS frameworks and responsive design.
• Strong problem-solving skills and attention to detail.

Nice to Have

• Experience with ML and/or computer vision frameworks like PyTorch, Numpy or OpenCV.
• Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow).
• Knowledge of WebGL, Canvas API, or other graphics programming technologies.
• Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices.
• Background in computer graphics, media processing, or VFX pipeline development.
• Experience with performance profiling, system monitoring, and observability tools.
• Understanding of network protocols, security best practices, and compliance requirements.
• Open-source contributions or technical writing experience.
• Entrepreneurial mindset or experience working with startups or fast-paced teams.

BRAHMA AI is the next generation of enterprise media technology formed through the integration of Prime Focus Technologies and Metaphysic. By combining CLEAR®, CLEAR® AI, ATMAN, and VAANI into one ecosystem, BRAHMA AI enables enterprises to manage, create, and distribute content with intelligence, security, and efficiency. Proven, scalable, and enterprise-tested, BRAHMA AI is helping global organizations accelerate growth, efficiency, and creative impact in the AI-powered era.