Abstrabit Technologies
Jobs at Abstrabit Technologies
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Recently posted jobs
Artificial Intelligence • Machine Learning
Own the application layer of AI-powered products by designing and building production frontend and backend systems. Lead architecture, APIs, data models, integrations, reliability, security, observability, testing, and deployment decisions. Debug complex production issues, review code and designs, mentor engineers, and collaborate with AI engineers on interfaces between application systems and inference services. The role requires strong technical judgment, ownership, and hands-on full-stack development.
Artificial Intelligence • Machine Learning
Build and ship scoped frontend and backend features for AI-powered products. Responsibilities include developing APIs, workflows, integrations, authentication, database functionality, testing, debugging, cloud deployment, monitoring, and production reliability. The role integrates applications with AI models, inference services, RAG systems, and agents while collaborating with AI and senior software engineers. Engineers own features through delivery, participate in design discussions, review code, and communicate implementation decisions and trade-offs.
Artificial Intelligence • Machine Learning
AI Engineering Interns will deploy and evaluate open-weight models, build inference and retrieval pipelines, create evaluation datasets, and investigate model performance. The role involves Python, RAG, embeddings, vector databases, GPUs, containers, cloud infrastructure, and model-serving frameworks. Interns will document experiments, debug failures, compare quality and efficiency trade-offs, and collaborate with software engineers to integrate AI capabilities into production applications.
Artificial Intelligence • Machine Learning
Build frontend and backend features for AI-powered products, including APIs, integrations, workflows, databases, authentication, and cloud deployments. Debug issues, write tests, improve reliability, and connect applications with LLMs, RAG systems, AI agents, and inference services. Interns contribute to production systems, participate in code reviews, and gradually take ownership of larger features while developing strong software engineering fundamentals.
