Job Description

Key Responsibilities:
Design, build, and enhance AI-powered applications and backend services for internal or customer-facing use cases.
Build and maintain AI agents and agentic workflows that can reason, orchestrate tasks, and integrate with external tools and services.
Develop MCP-based integrations and tool interfaces that enable AI systems to interact securely with external platforms, APIs, and business systems.
Implement prompt orchestration, context handling, tool calling, memory patterns, and evaluation workflows to improve agent reliability.
Collaborate with engineering, product, and architecture teams to define scalable patterns for AI agent development and deployment.
Integrate LLM capabilities into software systems while balancing performance, reliability, cost, and safety.
Investigate system issues, improve quality and observability, and optimize AI workflow efficiency in production settings.
Participate in code reviews, release support, experimentation, and production incident resolution.
Create technical documentation and contribute to best practices for AI engineering, agent development, and MCP adoption.

📌 104 Ai Software Engineer Hyderabad
🏢 Lifted, an Upwork Company™
📍 Hyderabad