Senior backend engineer

3 days ago

Thoothukudi, India ThinkWise Consulting LLP Full time

Senior Backend Engineer Location - Hyderabad/ Hybrid Model We are seeking a highly skilled and motivated Backend Engineer to join our team to design and build scalable, secure, and high-performance backend services. The ideal candidate will have strong expertise in Python, Fast API, AWS cloud services, LLM APIs integration , and relational databases like My SQL . You will play a key role in building next-generation backend platforms that power intelligent applications and digital experiences. Responsibilities Design, develop, and maintain backend services using Python and Fast API . Build and integrate LLM APIs (Large Language Models) to enable AI-driven features in our applications. Develop RESTful APIs and ensure high performance and responsiveness. Design and optimize database schemas and queries in My SQL . Implement and manage cloud infrastructure using AWS services (Lambda, EC2, S3, RDS, Cloud Watch, etc.). Ensure scalability, reliability, security, and performance of backend systems. Collaborate with frontend developers, AI/ML engineers, and Dev Ops teams. Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to improving coding standards and practices. Monitor backend systems, troubleshoot issues, and implement improvements. Required Skills & Qualifications 7+ years of experience in backend development. Proficient in Python with deep understanding of modern frameworks, especially Fast API . Strong experience with AWS services for building cloud-native applications. Hands-on experience integrating and working with LLM APIs (such as Open AI, Gemini, Hugging Face, Anthropic, etc.). Strong knowledge of My SQL database design, optimization, and management. Good understanding of RESTful API design principles. Experience with version control tools (Git). Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Preferred Qualifications Experience with Lang Chain , MCP , LLM orchestration frameworks. Exposure to CI/CD pipelines and automated deployment practices. Familiarity with observability tools (Open Telemetry, Prometheus, Grafana).

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