• Design and build AI agents, agent loops, tools, and orchestration workflows. • Develop RAG solutions with a focus on chunking strategies, metadata filtering, and controlled vocabularies. • Implement prompt engineering, versioning, evaluation, and model reasoning frameworks. • Build and maintain APIs and integrations using OpenAPI standards. • Design event-driven backend services using Java, Spring Boot, Kafka, and MongoDB. • Develop operational dashboards and user interfaces using React and TypeScript. • Build and deploy cloud-native solutions on AWS and Kubernetes

Requirements

Competencies
AI & Agent Engineering • Robust Python skills, including asyncio and async/await. • Experience with: o Agent architectures and agent loops o MCP (Model Context Protocol) o Tool design and orchestration o RAG implementations o Prompt engineering and evaluation • Familiarity with OpenAI and/or Anthropic agent frameworks and best practices. • Knowledge of AWS Bedrock, AgentCore,



and agent orchestration frameworks such as Strands. Backend & Distributed Systems • Solid experience with Java 17+ and Spring Boot. • Experience with MongoDB, including document modeling, transactions, and change streams. • Experience with Kafka, including partitioning, consumer groups, DLQs, and delivery guarantees. • Understanding of: o Optimistic concurrency control o Transactional Outbox pattern o Idempotent consumers o Exactly-once processing o Event-driven architectures Frontend & Cloud • Experience with React and TypeScript. • Familiarity with Kubernetes and AWS cloud services. Preferred Qualifications • Experience building enterprise AI platforms or agent-based applications. • Solid understanding of distributed system consistency and reliability patterns.

Skill Set
same

Languages
English

Education
null

📌 Back End Developer, Ai Dev, India Hyderabad
🏢 Important Group
📍 India