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Senior Full Stack Developer

2 weeks ago

Hyderabad, Telangana, India KR OTIS IT Solutions Pvt. Ltd. Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Description:
Position: Senior Full Stack Developer ((Enterprise AI Platform)Experience 8+ yearsWork Location: Hyderabad Work Mode: HybridShift timings: General ShiftNP: Immediate to 15 Days

Job description:

We are seeking a highly skilled 
Senior Full-Stack Developer

with deep expertise in 
modern web development, AWS serverless architectures, and AI/LLM integration

. This role involves building 
enterprise-scale AI-powered applications

, architecting 
event-driven microservices

, and integrating 
large language models (LLMs)

into intelligent business systems. The ideal candidate will combine strong 
engineering fundamentals

, 
cloud-native expertise

, and 
AI/ML knowledge

to deliver highly scalable, secure, and innovative solutions.  

Key Responsibilities

  • Full-Stack Development
  • Architect, develop, and maintain enterprise-grade applications using , , TypeScript/JavaScript (ES6+)
  • Build and optimize microservices and GraphQL APIs for scalability and performance
  • Implement responsive, secure, and user-centric front-end interfaces using modern frameworks
  • Manage web servers (Nginx) with reverse proxies, SSL/TLS, and security best practices
  • AWS Serverless Architecture
  • Design and deploy serverless applications leveraging AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge
  • Implement Infrastructure-as-Code (CloudFormation/CDK) for scalable deployments
  • Ensure monitoring, logging, and alerting with AWS CloudWatch and custom metrics
  • Secure applications with VPC, IAM, and security group policies
  • Integrate Amazon Bedrock for multi-model LLM deployments, prompt optimization, and enterprise AI adoption
  • AI/ML & LLM Integration
  • Integrate LLMs (OpenAI GPT, Anthropic Claude, Amazon Bedrock) into enterprise workflows
  • Design prompt engineering strategies (few-shot, chain-of-thought, structured outputs) for optimal results
  • Implement RAG (Retrieval-Augmented Generation) systems with vector databases (Pinecone, Weaviate, Milvus)
  • Develop multi-agent frameworks for intelligent automation and AI-driven decision systems
  • Manage context, memory systems, and token optimization for real-time AI applications
  • Bonus: fine-tune models, deploy ML pipelines, and integrate MLOps practices
  • Enterprise Integration & Data Engineering
  • Work with SQL (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB, Redis) databases for scalable architectures
  • Build and maintain real-time streaming systems using Kafka, RabbitMQ, or AWS SQS/SNS
  • Design ETL/ELT data pipelines for AI-driven insights and analytics
  • Implement enterprise-grade API management (REST/GraphQL, OpenAPI/Swagger)
  • Ensure high availability, low latency (sub-second response), and regulatory compliance (SOX, GDPR, SOC2)

What You'll Build

  • AI-powered enterprise applications serving thousands of global users
  • Serverless microservices with event-driven, cloud-native design
  • Intelligent automation systems integrating LLMs with critical business processes
  • Developer platforms enabling scalable AI adoption across enterprise teams

Qualifications

  • Bachelor's/Master's in Computer Science, Engineering, or related field
  • 8+ years of hands-on experience in full-stack engineering (enterprise-grade)
  • Proven expertise in , , TypeScript, GraphQL, and microservices
  • Strong experience with AWS Serverless Architectures and enterprise cloud security
  • Hands-on integration experience with LLM platforms (OpenAI, Anthropic, Bedrock)
  • Strong knowledge of databases, distributed systems, and event-driven patterns
  • Excellent problem-solving, leadership, and technical mentoring abilities