Advanced AI Solutions Engineer

We are seeking a skilled AI Solutions Developer to join our team. This role involves architecting, implementing, and optimizing next-generation internal business applications enriched with AI and intelligent automation.

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

• Ai-Powered 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 like HubSpot/Twilio) 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.

• Education: Bachelor's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• Professional Background: 3–6 years of proven software development, with 2+ years in low-code/no-code and AI-enhanced applications. Experience with RPA tools (UiPath, Automation Anywhere, etc.) strongly preferred.
• Technical Expertise: Advanced skill in JavaScript, SQL, and API integration for building custom AI functionality.
• Demonstrated experience with LLMs (e.g., GPT, Claude) 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.

• Appsmith AI Specialist: Proficiency in maximizing Appsmith AI's capabilities, including private/local LLM deployments and complex prompt engineering.
• LLM & RPA Synergy: Ability to orchestrate adaptive workflows that combine LLM intelligence with RPA for non-linear automations and greater flexibility.
• Ethical AI & Security Focus: Understanding of privacy, secure API management, bias detection/mitigation, and trustworthy AI implementation.
• Cloud-Native Deployments: Familiarity with AWS, Docker, Kubernetes, or comparable cloud/devops tools for deploying and scaling AI applications.
• Innovation & Open Source: Contributions to AI or open-source projects, early experimentation with emerging LLM or automation technologies.
• Adaptive Learning: Commitment to continuous learning in a rapidly evolving AI and automation landscape.

• Flexible work arrangements: Remote or hybrid options available across distributed global teams.
• Growth-oriented culture: Encourages innovation, rapid prototyping, knowledge sharing, and curiosity.
• Comprehensive compensation package: Includes professional development opportunities in AI/RPA, remote work support, and access to advanced tooling.