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Software Engineer (AI Platform & Backend)

Summary

Build and maintain scalable AI-powered backend systems, RAG pipelines, and cloud-native services on AWS using LangChain, LangGraph, and event-driven architectures.

Job Title: Software Engineer (AI Platform & Backend)
Experience: 4+ Years
Location: Remote
Notice Period: Immediate Joiners Only

About the Role

We are seeking a highly skilled Software Engineer (AI Platform & Backend) with 4+ years of experience in building scalable AI-powered applications, backend systems, and cloud-native platforms. The ideal candidate should have hands-on expertise in AI frameworks, event-driven architectures, AWS cloud services, and modern DevOps practices.

Key Responsibilities

  • Design, develop, and maintain scalable AI-powered backend applications and platform services.

  • Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines using modern AI frameworks.

  • Develop backend engines and distributed systems for high-performance AI applications.

  • Design and implement event-driven architectures and event processing pipelines.

  • Integrate referral sidecars and backend services to improve system scalability and reliability.

  • Deploy, manage, and optimize cloud-native applications on AWS.

  • Build and maintain CI/CD pipelines for automated deployment and delivery.

  • Implement secrets management, monitoring, logging, and observability solutions.

  • Collaborate with product managers, architects, and cross-functional engineering teams to deliver secure, scalable, and high-quality software.

  • Troubleshoot production issues and continuously improve application performance and reliability.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

  • 4+ years of experience in backend software development.

  • Strong experience designing and developing scalable, cloud-native applications.

  • Hands-on experience with AI application development using LangChain, LangGraph, and RAG architectures.

  • Experience working with AWS cloud services, containerized deployments, and modern DevOps practices.

  • Strong understanding of distributed systems, event-driven architectures, and backend integration patterns.

  • Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

  • Experience building enterprise AI platforms and Generative AI solutions.

  • Familiarity with microservices architecture and container orchestration.

  • Knowledge of cloud security best practices and infrastructure automation.

  • Experience working in Agile development environments.




Requirements


Required Technical Skills

AI & Machine Learning

  • LangGraph

  • LangChain

  • Retrieval-Augmented Generation (RAG)

  • AWS Bedrock

Backend Development

  • Backend Engine Development

  • Redis

  • Temporal

  • Amazon Athena

Integration & Architecture

  • Event-Driven Architectures

  • Event Pipelines

  • Referral Sidecars

Cloud & DevOps

  • AWS Cloud Services

    See also