Live opening · Posted 1 day ago

Backend Developer - Rust

Convosight · Work From Home
Instahyre 3-7 yrs
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyConvosight
LocationWork From Home
Experience3-7 yrs
SourceInstahyre
Listed1 day ago

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About the role

Description supplied by the original job listing.

We are looking for a highly skilled Backend Developer with strong expertise in Rust, Python, and TypeScript, along with hands-on experience building large-scale AI-powered products and distributed systems. The ideal candidate should have worked on AI/LLM-based applications, high-performance backend architectures, and scalable cloud-native systems serving millions of users and large datasets. This role requires someone who can build robust backend services, optimise system performance, integrate AI models, and collaborate closely with Product, Data, and Frontend teams to deliver next-generation AI solutions.
The candidate will have responsibilities across the following functions:
Backend Development:
Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
Build high-performance microservices and APIs for AI-driven products.
Develop fault-tolerant, secure, and maintainable distributed systems.
Design event-driven architectures and asynchronous processing pipelines.
Implement caching, message queues, and database optimisation strategies.
AI and Machine Learning Integration:
Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
Build AI workflows for content generation, summarisation, sentiment analysis, and conversational intelligence.
Optimise AI inference pipelines for performance and cost efficiency.
System Architecture:
Design scalable architectures capable of handling high traffic and large volumes of data.
Develop real-time processing systems and data pipelines.
Implement observability, monitoring, logging, and alerting mechanisms.
Drive performance tuning and latency optimisation across services.
Cloud and DevOps:
Deploy and manage applications on AWS, GCP, or Azure.
Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
Ensure system reliability, security, and scalability.

Experience
3-7 yrs

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