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abra is seeking for a Senior ML Platform Engineer . We're looking for a hands-on Senior ML Platform Engineer (MLOps) to build and maintain the infrastructure that powers secure, production-grade AI in an air-gapped environment. In this role, you'll develop and optimize ML pipelines, model serving, experiment tracking, model registries, vector databases (RAG), dataset versioning, and GPU orchestration. You'll work closely with AI developers, data scientists, and software engineers to deliver scalable, secure, and reliable AI solution

We built a platform that builds businesses. From launching and managing to growing a business, we are the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey. We believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business. We Need You! Our developers take full ownership across the stack - from ideation and architecture to deployment, observability, and maintenance. Youll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.In our full CI/CD environment, youll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide.
Key Responsibilities
* Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
* Build next-generation web applications focused on User Experience and scale.
* Create efficient and reusable Front-End abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
* Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
* Lead architecture design, implementation, and monitoring of solutions.
* Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve Developer experience.
* Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.