At a Glance
- Tasks: Design and scale server-side services, APIs, and data pipelines for AI media processing.
- Company: BRAHMA AI, a leader in enterprise media technology and generative AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI-powered media technology.
- Qualifications: 5+ years in software engineering with expertise in Python and API design.
The predicted salary is between 63000 - 77000 £ per year.
Description
Brahma AI operates at the intersection of enterprise Media Asset Management (MAM) and cutting-edge generative media.
We build and scale industry-leading generative AI models, including hyper-realistic digital humans (ATMAN) and multilingual voice synthesis (VAANI), for world-class enterprise clients in entertainment, sports, healthcare, and retail.
We are looking for a Senior Backend Engineer to design and scale the core server-side services, APIs, and data pipelines that power our AI and media processing capabilities.
In this role, you will focus primarily on backend architecture, API design, and system performance.
You will collaborate closely with ML engineers to integrate generative models and with dedicated Dev Ops engineers who handle our platform infrastructure.
You will also touch frontend interfaces occasionally to help expose backend capabilities seamlessly.
Key Responsibilities
- API & System Architecture: Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows.
- Data Processing & Storage: Build robust data pipelines, database schemas, and caching layers (Postgre SQL, Redis) for handling large-scale media content.
- ML Model Integration: Collaborate with ML researchers and engineers to integrate model inference and training workflows into production backend systems.
- Operational Health & Observability: Implement application-level logging, metrics, and alerting; actively participate in performance profiling, root-cause analysis, and production incident resolution alongside our Dev Ops team.
- Performance Optimisation: Optimise server-side code, async queues, and database queries for low latency, high throughput, and high availability.
- Cross-Functional Collaboration: Partner with frontend/product teams to ensure API contracts make complex generative AI capabilities intuitive to consume.
- Must Haves
- 5+ years of software engineering experience, with primary expertise in server-side Python development.
- System Design & APIs: Proven track record building scalable RESTful APIs, microservices, and async/event-driven systems.
- Data & Caching: Strong relational database design (e. g., Postgre SQL) and caching/memory store experience (e. g., Redis).
- Operational Mindset: Experience with production observability (logging, monitoring, alerting) and a disciplined approach to debugging, testing, and incident response.
- AI coding
Literacy: Pragmatic experience using AI development tools (e. g., Copilot, Cursor, LLM APIs) to boost coding velocity while maintaining strict code quality, test coverage, and architectural rigor.
- AI concept awareness: Understanding of core AI concepts (e. g., the operational differences, latency requirements, and resource profiles of model training vs. inference).
- Fullstack
Awareness: Rudimentary knowledge of modern Java Script/Type Script and web development concepts—enough to collaborate seamlessly with UI engineers or build internal prototypes.
- Nice to Have
- ML Experience: Hands-on experience or familiarity with Py Torch for model implementations, as well as ML serving tools (e. g., Torch Serve, v LLM, Triton).
- Data Pipelines & Storage
Formats: Practical experience with DAG-based workflow orchestrators (e. g., Airflow, Prefect, Temporal), async ETL processing, and working with columnar data formats like Parquet.
- Media & Computer Vision: Experience with media processing tools and computer vision libraries (e. g., FFmpeg, Open CV, Web GL/Canvas).
- Advanced Storage & Messaging: Familiarity with graph databases (Neo4j) or distributed messaging/event streaming systems (Kafka, Rabbit MQ).
- Dev
Ops Collaboration: Basic exposure to cloud services (AWS/GCP) and container standards (Docker) to collaborate seamlessly with our platform team.
- Domain Background: Background in media technology, graphics programming, VFX, or fast-paced engineering startups.
About BRAHMA AI
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.
Senior Backend Engineer employer: BRAHMA
Brahma AI is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to lead and grow within their roles. With a strong focus on cutting-edge technology and collaboration, the company offers ample opportunities for professional development, particularly in the rapidly evolving fields of AI and media technology. Located in a vibrant tech hub, Brahma AI provides a unique environment that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.