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 environments.
- 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