Backend Developer - Rust
Remote · location unlistedFull-time₹1000–3500K/yrPosted 3mo agoStill listed 2 days ago
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Job overview
Convosight is hiring a Backend Developer - Rust. The Backend Developer will design, develop, and maintain scalable backend services using Rust, Python, and TypeScript. This role involves building high-performance microservices and APIs for AI-driven products, developing fault-tolerant distributed systems, and implementing caching and database optimization strategies. The developer will also build and maintain backend infrastructure supporting LLMs, Generative AI, and RAG systems, integrating models from various providers and optimizing AI inference pipelines.
Key focus areas include Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript., Build high-performance microservices and APIs for AI-driven products., and Develop fault-tolerant, secure, and maintainable distributed systems..
Important skills include Rust, Python, TypeScript, Microservices, API, and Distributed Systems.
Skills & qualifications
Skills
Full job description
Key Responsibilities
Backend Development
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Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript .
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Build high-performance microservices and APIs for AI-driven products.
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Develop fault-tolerant, secure, and maintainable distributed systems.
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Design event-driven architectures and asynchronous processing pipelines.
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Implement caching, message queues, and database optimization strategies. AI & Machine Learning Integration
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Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents .
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Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
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Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
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Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
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Optimize AI inference pipelines for performance and cost efficiency. System Architecture
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Design scalable architectures capable of handling high traffic and large volumes of data.
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Develop real-time processing systems and data pipelines.
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Implement observability, monitoring, logging, and alerting mechanisms.
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Drive performance tuning and latency optimization across services. Cloud & DevOps
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Deploy and manage applications on AWS, GCP, or Azure.
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Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
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Ensure system reliability, security, and scalability.
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