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Senior Full-Stack Developer (Enterprise AI Platform Development)

8 years

0 Lacs

hyderabad telangana india

Posted:3 weeks ago| Platform: Linkedin logo

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Skills Required

stack developer ai development javascript typescript node.js server react vue.js design css grid management nginx microservices graphql aws architecture api dynamodb integration optimization vpc security ml openai engineering tuning deployment monitoring data sql postgresql mysql nosql mongodb redis rest openapi sqs apache etl saas compliance

Work Mode

On-site

Job Type

Full Time

Job Description

Hiring: Senior Full-Stack Developer (Enterprise AI Platform Development)

Experience Level:

Location: Hyderabad

Role Focus:

Key Skills & Requirements1. Full-Stack Web Development

  • Core Technologies:

  • JavaScript/TypeScript (ES6+, async/await)
  • Node.js (server-side, APIs, microservices)
  • React / Vue.js (hooks, state management)
  • HTML5 / CSS3 (semantic markup, responsive design, CSS Grid/Flexbox)
  • Web Server Management (Nginx, reverse proxy, SSL/TLS)

  • Enterprise Requirements:

  • Enterprise-scale applications
  • Microservices architecture
  • GraphQL implementation & schema design
2. AWS Serverless Architecture (Must-Have)

  • Core AWS Services:

    Lambda, API Gateway, S3, DynamoDB, CloudFormation/CDK

  • Advanced AWS:

  • Amazon Bedrock (LLM integration, prompt optimization – highly preferred)
  • EventBridge, Step Functions, CloudWatch
  • VPC / Security Groups for isolation & security
3. AI/ML & LLM Integration (Critical)

  • LLM Platforms:

    OpenAI API (GPT), Anthropic Claude, Amazon Bedrock

  • AI/ML Concepts:

    Prompt engineering, context management, vector databases, RAG systems, agent frameworks

  • Bonus Skills:

    Fine-tuning, MLOps (deployment, monitoring, A/B testing)
4. Enterprise Integration & Data

  • Databases:

  • SQL: PostgreSQL, MySQL (complex queries, optimization)
  • NoSQL: MongoDB, DynamoDB
  • Vector DBs: Pinecone, Weaviate, Milvus
  • Redis: caching, pub/sub, session management

  • Integration Patterns:

  • REST/GraphQL APIs (OpenAPI/Swagger)
  • Message Queues: SQS, SNS, RabbitMQ
  • Event Streaming: Apache Kafka
  • ETL/ELT: Data pipelines & transformations
Preferred Experience
  • Enterprise AI development & deployment
  • Large-scale system architecture
  • Multi-tenant SaaS applications with enterprise-grade security
  • Real-time AI applications with sub-second responses
  • Regulatory compliance (SOX, GDPR, SOC2)

More Jobs at Aigentics Inc

Senior Full-Stack Developer (Enterprise AI Platform Development)

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Salary: Not disclosed

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Aigentics Inc

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