Key Responsibilities
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 optimization strategies.
AI & 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, summarization, sentiment analysis, and conversational intelligence.
- Optimize 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 optimization across services.
Cloud & 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.

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You can contact me on nine three one six one two zero one three two
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