AI Developer

About Flutter Entertainment

Role overview

What you’ll do

• Design and evolve enterprise AI assistant and multi-agent platforms integrated with internal applications, data, and workflows.
• Build AI applications using LLM inference systems including LiteLLM and AWS Bedrock.
• Architect context pipelines, retrieval strategies, memory systems, and context windows.
• Balance token economics, latency, cost, context length, and model capability in production systems.
• Implement safety guardrails aligned with responsible AI policies and regulatory obligations.
• Build agent systems with frameworks such as LangChain, LangGraph, Strands, and ADK.
• Deliver full-stack applications from model integration through backend services and user interfaces.
• Build AWS integrations using Bedrock, Lambda, API Gateway, MCP, and REST or streaming APIs.
• Apply security-first practices addressing prompt injection, data leakage, authentication, access control, and sensitive data handling.

Role capabilities described

• Hands-on LLM inference and integration skills, including model selection, routing, and deployment trade-offs.
• Context engineering skills involving retrieval, memory, and context-window design.
• Knowledge of token economics and production performance trade-offs.
• Ability to implement agent architectures and deliver full-stack AI applications.
• Experience integrating AWS services and implementing modern APIs and protocols.
• Security-oriented development practices for enterprise AI systems.

Workplace and employment

• The posting lists the position as permanent in Hyderabad, India.
• The role is described as hybrid, blending remote flexibility with collaboration in Hyderabad offices.