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
Solid 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.
Robust understanding of distributed system consistency and reliability patterns.

Skill Set
same

Languages
English

Education
null

📌 Back End Developer, Ai Dev, India Hyderabad
🏢 OSF Digital
📍 India