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Active1w ago

Senior Full Stack Developer - AI

ConnexR Solutions·📍 Bengaluru, Karnataka, India

Employment

FULL TIME

Work mode

Hybrid

Experience

8–10 years

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

Experience: 8–10 Years Location: Bengaluru Work Mode: Hybrid Employment Type: Fulltime Budget: Up to ₹24 LPA Shift Timing: 1:30 PM – 10:30 PM Education: BE Interview Process: L1 – Virtual | L2 – Face-to-Face Job Overview We are looking for an experienced Senior Full Stack Developer – AI to join our Game Streaming Platform team. The ideal candidate will have strong expertise in Java, React.js, Dropwizard, Docker, Kubernetes, and AWS, along with experience integrating generative AI capabilities into scalable applications. You will be responsible for developing high-performance backend microservices, building responsive frontend applications, and deploying cloud-native solutions. Experience with AI coding assistants, LLM integration, and AI-augmented development practices is highly desirable. Key Responsibilities Design and develop scalable REST APIs and microservices using Java and Dropwizard. Build responsive and interactive web applications using React.js. Implement event-driven architectures using AWS SNS, SQS, and Apache Kafka. Design and optimize data models, schemas, and indexes using MongoDB and AWS DocumentDB. Containerize applications using Docker and deploy them using Kubernetes on AWS. Integrate generative AI APIs, LLMs, and Retrieval-Augmented Generation (RAG) solutions. Use AI coding assistants such as GitHub Copilot, ChatGPT, and Claude to accelerate development. Develop and maintain CI/CD pipelines using GitLab CI/CD. Optimize application performance, scalability, reliability, and security. Collaborate with cross-functional teams to deliver end-to-end features. Participate in code reviews, technical design discussions, production troubleshooting, and on-call support. Follow responsible AI practices, including output validation, data privacy, and security. Mandatory Skills Java React.js Dropwizard Docker Kubernetes AWS Preferred / Additional Skills Python AWS SNS and SQS Apache Kafka MongoDB / AWS DocumentDB Kubernetes deployment and cloud-native architecture Generative AI, LLMs, prompt engineering, and RAG GitHub Copilot, ChatGPT, Claude, or AWS Bedrock GitLab CI/CD and DevOps practices Candidate Requirements 8–10 years of overall software development experience. Strong hands-on experience in full-stack development. Ability to design, develop, deploy, and maintain scalable applications. Experience with AI-assisted development and modern engineering practices. Strong problem-solving, communication, and collaboration skills. Additional Information Work Location: Bengaluru Work Mode: Hybrid Shift: 1:30 PM – 10:30 PM Interview Rounds: Two rounds (Virtual and Face-to-Face) Compensation: Up to ₹24 LPA, subject to experience and budget fit

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About this listing

  • Source: ConnexR Solutions's official careers site · still listed there on 9 Nov 2026
  • Posted 29 Oct 2026

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What they are looking for

Skills & requirements

Qualification

BE Interview Process: L1 – Virtual | L2 – Face-to-Face Job Overview We are looking for an experienced Senior Full Stack Developer – AI to join our Game Streaming Platform team. The ideal candidate will have strong expertise in Java, React.js, Dropwizard, Docker, Kubernetes, and AWS, along with experience integrating generative AI capabilities into scalable applications. You will be responsible for developing high-performance backend microservices, building responsive frontend applications, and deploying cloud-native solutions. Experience with AI coding assistants, LLM integration, and AI-augmented development practices is highly desirable. Key Responsibilities Design and develop scalable REST APIs and microservices using Java and Dropwizard. Build responsive and interactive web applications using React.js. Implement event-driven architectures using AWS SNS, SQS, and Apache Kafka. Design and optimize data models, schemas, and indexes using MongoDB and AWS DocumentDB. Containerize applications using Docker and deploy them using Kubernetes on AWS. Integrate generative AI APIs, LLMs, and Retrieval-Augmented Generation (RAG) solutions. Use AI coding assistants such as GitHub Copilot, Ch

Hiring company

ConnexR Solutions

Technology

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