Low-Code AI Solutions Specialist

As a skilled software developer, you will play a key role in architecting and implementing cutting-edge internal business applications enriched with AI and intelligent automation. You'll focus on leveraging low-code platforms to deliver smart dashboards, adaptive workflow automations, and agent-based solutions that elevate operational efficiency and business intelligence.

• Design and develop sophisticated applications using artificial intelligence to create intuitive natural language querying, smart widget recommendations, and AI-driven actions such as content generation, image recognition, and automated decisioning.
• Integrate public and private large language models (LLMs) to unlock capabilities like text summarization, semantic search, conversational agents, and intelligent data processing.
• Implement complex workflow automations guided by principles of robotic process automation (RPA), embedding LLMs for adaptive automation including dynamic error handling and process logic.
• Establish seamless data connections with diverse sources, fueling real-time, AI-informed insights within business applications.
• Optimize application reliability, scalability, and performance, 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.

• 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 strongly preferred.
• Technical Expertise: 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.

• Expertise in Low-Code AI Development: Proficiency in maximizing the capabilities of low-code platforms, including private/local LLM deployments and complex prompt engineering.
• LLM & RPA Synergy: Demonstrated ability to orchestrate adaptive workflows that combine LLM intelligence with RPA for non-linear automations and greater flexibility.
• 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, early experimentation with emerging LLM or automation technologies.
• Adaptive Learning: Strong commitment to continuous learning in a rapidly evolving AI and automation landscape.

• Remote-First: Flexible, remote or hybrid arrangements across distributed, global teams.
• Growth-Oriented: Culture of curiosity, openness, rapid prototyping, and knowledge sharing—centered around innovation in AI and automation.
• Comprehensive Benefits: Attractive compensation, professional development in AI/RPA, remote work support, and access to advanced tooling.