Software Engineer (AI Platform & Backend)
New
J
JobgetherAI Platform
Based in IndiaContractMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSRedisCI/CDLangChainDistributed Systems
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 4+ years of experience in backend software development with a strong focus on scalable, cloud-native applications.
- Hands-on experience building AI applications using LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and AWS Bedrock.
- Strong knowledge of distributed systems, backend architecture, event-driven design, and modern integration patterns.
- Experience with AWS cloud services, containerized deployments, and DevOps practices.
- Proficiency with backend technologies and tools such as Redis, Temporal, Amazon Athena, and event processing frameworks.
- Familiarity with microservices architecture, cloud security best practices, and infrastructure automation.
- Experience working in Agile development environments.
Responsibilities
- Design, develop, and maintain scalable AI-powered backend applications and platform services capable of supporting enterprise workloads.
- Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines using modern AI frameworks and best practices.
- Develop high-performance backend engines and distributed systems to support AI-driven applications and services.
- Design and implement event-driven architectures, event processing pipelines, and scalable backend integration patterns.
- Deploy, manage, and optimize cloud-native applications and infrastructure using AWS services.
- Build and maintain CI/CD pipelines while implementing monitoring, logging, observability, and secrets management solutions.
- Collaborate closely with product managers, architects, and cross-functional engineering teams to deliver secure, reliable, and scalable software solutions.
- Troubleshoot production issues, improve system performance, and continuously enhance platform reliability and operational excellence.
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