Web AI Engineer

Location: Ahmedabad, India

Department: Web AI Innovation

Experience: 1-3

• Design and build end-to-end AI automation and agentic architectures.
• Build workflows using LLMs, agents, tools, APIs, and MCP.
• Design and implement tools that allow AI systems to interact with applications and external services.
• Integrate LLM APIs and SDKs into production applications.
• Build multi-step workflows with proper context, state, validation, and error handling.
• Develop backend APIs and integrations required for AI-powered features.
• Debug and improve AI workflows for reliability, performance, and scalability.
• Take features from requirements and architecture through implementation and production.

• 1–3 years of software engineering or AI application development experience.
• Strong understanding of:
  • Agentic architecture
  • Agentic loops
  • Tool / function calling
  • MCP
  • Context engineering
  • Prompt engineering
  • Structured outputs
  • Workflow orchestration
• Experience working with LLM APIs and SDKs.
• Strong understanding of REST APIs and system integrations.
• Good programming skills in Python, JavaScript/TypeScript, or similar languages.
• Ability to understand and design end-to-end system architecture.
• Strong debugging and problem-solving skills.
• Ability to work independently and take ownership of features.

• Experience building MCP servers or custom AI tools.
• Experience with AI-assisted development workflows.
• Experience with Docker and cloud deployment.
• Exposure to Container Apps, Key Vault, or similar cloud services.

• Ability to take an AI use case from concept → architecture → implementation → production.
• Strong understanding of how agents, tools, APIs, context, and application systems work together.
• Ability to learn new AI technologies and apply them quickly.
• Strong ownership and practical problem-solving ability.