AI Solutions Architect

2 weeks ago

Alleppey, Kerala, India beBeeArtificial Full time US$ 1,00,000 - US$ 1,25,000
Artificial Intelligence Engineer

We foster innovation, efficiency, and transformation by harnessing the power of cutting-edge technologies. Our team of experts bridges the gap between vision and execution, delivering tailored solutions that drive real impact.

As a skilled AI Solutions Developer, you will architect, implement, and optimize next-generation internal business applications enriched with artificial intelligence and intelligent automation.

Your primary focus is to leverage Appsmith's AI Studio—including advanced LLM integrations and automation features—to deliver smart dashboards, adaptive workflow automations, and agent-based solutions that elevate operational efficiency and business intelligence.

Core Responsibilities:
  • Intelligent Application Development: Harness Appsmith AI to deliver sophisticated apps with intuitive natural language querying, smart widget recommendations, and AI-driven actions such as content generation, image recognition, and automated decisioning.
  • Seamless LLM Integrations: Integrate public and private llms (openai, anthropic, google ai, llama3, etc.) to unlock capabilities like text summarization, semantic search, conversational agents, and intelligent data processing.
  • Automation & Orchestration: Design complex workflow automations guided by RPA principles, embedding llms for adaptive automation including dynamic error handling and process logic.
  • Data Connections: Integrate with diverse data sources (postgresql, mongodb, rest/graphql apis, saas platforms) to fuel real-time, AI-informed insights within business apps.
  • Scalability & Security: Optimize application reliability, scalability, and performance including minimizing llm latency, ensuring high availability, and adhering to best practices in privacy and data protection.
  • Agile Collaboration: Engage with stakeholders to capture requirements, prototype solutions, iterate rapidly, and champion continuous feedback in an agile team setting.
  • Documentation & Knowledge Sharing: Maintain detailed documentation for AI features, llm/rpa integrations, and best practices, fostering reusability, compliance, and rapid onboarding.

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