Back-End Developer, India

• 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
• Strong Python skills, including asyncio and async/await.
• Experience with:
• Agent architectures and agent loop
• MCP (Model Context Protocol)
• Tool design and orchestration
• RAG implementation
• 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
• Strong 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:
• Optimistic concurrency control
• Transactional Outbox pattern
• Idempotent consumers
• Exactly-once processing
• Event-driven architecturesFrontend & Cloud
• Experience with React and TypeScript.
• Familiarity with Kubernetes and AWS cloud services.
• Preferred Qualifications
• Experience building enterprise AI platforms or agent-based applications.
• Strong understanding of distributed system consistency and reliability patterns.

Skill Set

• same

Languages

• English

Education

• null