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AI Development Expert
2 weeks ago
Unlocking the Power of AI:
We are seeking a skilled developer to join our team in architecting, implementing, and optimizing next-generation internal business applications enriched with AI and intelligent automation.
Your Key Responsibilities:
- Harness the capabilities of Appsmith AI to deliver sophisticated apps with intuitive natural language querying, smart widget recommendations, and AI-driven actions.
- Seamlessly integrate public and private large language models (LLMs) to unlock features like text summarization, semantic search, conversational agents, and intelligent data processing.
- Design complex workflow automations guided by RPA principles, embedding LLMs for adaptive automation including dynamic error handling and process logic.
- Integrate with diverse data sources to fuel real-time, AI-informed insights within business apps.
- Optimize application reliability, scalability, and performance while ensuring high availability and adhering to best practices in privacy and data protection.
- Engage with stakeholders to capture requirements, prototype solutions, iterate rapidly, and champion continuous feedback in an agile team setting.
- Maintain detailed documentation for AI features, LLM/RPA integrations, and best practices, fostering reusability, compliance, and rapid onboarding.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
- 3–6 years of proven software development experience, with 2+ years in low-code/no-code and AI-enhanced applications.
- Advanced skill in JavaScript, SQL, and API integration for building custom AI functionality.
- Demonstrated experience with LLMs and their APIs for enabling generative and analytical features.
- Solid grasp of Git for version control, branching, and team workflows.
- Analytical Acumen: Strong problem-solving mindset; adept at debugging and delivering resilient AI-powered solutions.
- Collaborative Communicator: Effective at interfacing with product, engineering, and business teams in virtual/hybrid environments.
Growth Opportunities:
- Appsmith AI Specialist: Advanced proficiency in maximizing Appsmith AI's capabilities.
- LLM & RPA Synergy: Demonstrated ability to orchestrate adaptive workflows that combine LLM intelligence with RPA.
- Ethical AI & Security Focus: Deep understanding of privacy, secure API management, bias detection/mitigation, and trustworthy AI implementation.
- Cloud-Native Deployments: Hands-on with AWS, Docker, Kubernetes, or comparable cloud/devops tools for deploying and scaling AI applications.
- Innovation & Open Source: Evidence of contributions to AI or open-source projects.
- Adaptive Learning: Strong commitment to continuous learning in a rapidly evolving AI and automation landscape.