Senior Software Engineer

We’re seeking a mid- to senior-level software engineer with 2–5 years of experience to design and implement the LLM-powered no-code user interface of HANAS, our platform for intelligent, hardware-aware model search at the edge. This role sits at the intersection of front-end engineering, LLM system integration, and UI/UX for industrial AI, enabling engineers and domain experts to create and deploy hardware-aware prescriptive workflows without writing code.

• Build and maintain a no-code interface layer using modern UI builder frameworks such as Loveable, Retool, or similar tools, focused on drag-and-drop interactions and visual workflow assembly.
• Engineer the integration of LLMs using frameworks like LangChain, enabling prompt chaining, agent routing, integration of Human-in-the-loop and tool-assisted orchestration of NAS workflows and model deployment pipelines.
• Design and maintain prompt templates and reusable prompt components tailored to industrial use cases (e.g., predictive maintenance, energy management).
• Collaborate with AI researchers and product designers to ensure the UI/LLM layer is interpretable, robust, and aligned with user needs.

Requirements

• 2–5 years of experience as a software engineer (full-stack or frontend-heavy).
• Strong proficiency in React and TypeScript.
• Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex).
• Familiarity with prompt engineering, function calling, and retrieval-augmented generation (RAG).
• Experience working in fast-paced R&D or AI/ML environments is a strong plus.
• Passion for building user-first interfaces that simplify complex technical processes.

Benefits

• Opportunity to work on cutting-edge AI technologies shaping the future of Industry 5.0 and intelligent edge systems.
• A collaborative, research-driven, and international environment at the intersection of AI, UX design, and industrial innovation.
• Continuous learning opportunities, including mentorship, hands-on involvement in real-world product pipelines, and exposure to GenAI and edge AI architectures.
• Competitive compensation package based on your experience and performance.
• 25 days of paid annual leave to recharge and enjoy life outside of work.
• Private health insurance and access to wellness benefits, including team yoga sessions.
• Stock options based on performance.