Aigentics Inc

Hiring: Senior Full-Stack Developer (Enterprise AI Platform Development) Experience Level: Senior (8+ Years) Location: Hyderabad Role Focus: Enterprise AI Platform Development 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)