Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior.
Scope, design, and deploy adaptive AI agents that evolve with the customer’s environment—not static models, but living systems that improve through interaction.
Build and integrate production-ready applications that connect Palona’s AI platform to customer infrastructure.
Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems.
Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements.
Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments.
Build long-term relationships where you and the agent grow alongside the customer.
Requirements
Strong full-stack development skills (Python, JavaScript, or similar)
Experience in customer-facing or client delivery roles
Ability to thrive in fast-moving, resource-constrained, startup-style environments
Fast learner capable of adapting to new tools, domains, and requirements
High ownership mindset with the ability to work independently and follow problems end-to-end
Excellent communication with technical and non-technical stakeholders
Preferred
Deploying LLMs, multimodal models, or generative AI systems
Background in NLP, computer vision, or multi-agent systems
Sales engineering, pre-sales, or customer success engineering in high-growth environments
Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.)
Curiosity and empathy to explore both the technology and hospitality
Technical fluency to diagnose, build, and refine systems
Clear communication across both technical and non-technical teams
Adaptability in environments where requirements shift weekly
Ownership to take problems from discovery to deployment