AI Engineer (Backend + Applied AI)
Job Description:
π WEβRE HIRING β AI ENGINEER (BACKEND + APPLIED AI) π
Weβre looking for a passionate and hands-on AI Engineer who can build real-world AI systems β not just train models. If you enjoy working on scalable backend systems, embeddings, vector databases, recommendation engines, and production-ready AI applications, this is your opportunity to help shape the future of audio technology. π§π€β¨
π’ Company: Speedradio
π Website: https://www.speedradio.com
π Role: AI Engineer (Backend + Applied AI)
π Experience: 2β4 Years
π Location: Remote (India)
π§ Key Responsibilities:
β’ Build and maintain FastAPI-based backend systems
β’ Work on embeddings, RAG pipelines, and vector databases
β’ Develop real-time recommendation features
β’ Build scalable and production-ready AI systems
β’ Collaborate on backend and AI-driven application architecture
β’ Optimize AI workflows and API performance
π Required Skills:
β’ Strong Python programming skills
β’ Strong understanding of APIs and backend development
β’ Hands-on experience with AI/ML systems in production
β’ Experience with embeddings and vector search systems
β’ Knowledge of Retrieval-Augmented Generation (RAG) workflows
β’ Ability to build scalable backend architectures
π― Preferred Skills / Requirements:
β’ Experience with recommendation systems
β’ Strong debugging and problem-solving skills
β’ Passion for applied AI and real-world product development
β’ Ability to work independently in a remote environment
β¨ Why Join Us?
β’ Opportunity to work on next-generation AI-powered audio products π
β’ Build real-world AI systems with modern technologies π€
β’ Collaborative and innovation-driven engineering culture π‘
β’ Remote flexibility with impactful product ownership π
π© Apply Now: hr@speedradio.com
π¬ Join WhatsApp Group:
Join Now
β‘ Letβs build the future of audio together with cutting-edge AI and scalable backend systems!
Required Skills:
Key Responsibilities:
Work on embeddings, RAG pipelines, and vector databases
Develop real-time recommendation features
Build scalable and production-ready AI systems
Collaborate on backend and AI-driven application architecture
Optimize AI workflows and API performance
About Speedradio
- Website: https://www.speedradio.com