• Hands-on experience building applications or platforms using Generative AI, or agentic design patterns

• Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade-offs

• Experience taking AI-enabled solutions from prototype to production with sound engineering discipline across reliability, observability, latency, cost, security, and governance

• Practical experience using AI coding and engineering assistants to improve productivity across the software development lifecycle

• Experience improving PDLC and SDLC efficiency through automation, CI/CD, automated testing, and AI-assisted engineering workflows

• Strong programming skills in one or more backend languages such as Java and Python, with the ability to write high-quality, well-tested, production-ready code

• Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure

• Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and enterprise integration patterns

• Experience with modern AI frameworks, SDKs, and tools for building AI applications, agent workflows, and developer productivity solutions

• Strong problem-solving and analytical skills, with the ability to break down ambiguity and turn ideas into practical, scalable solutions

• Demonstrated innovative mindset with curiosity to learn new technologies, evaluate emerging tools, and apply them where they create value

• Strong sense of ownership and accountability, with the ability to independently drive initiatives from concept to delivery

• Excellent collaboration and communication skills, with experience working across engineering, product, AI, and business stakeholders

• Experience with modern front-end frameworks such as React and/or Next.js is beneficial

• Familiarity with inference APIs, embeddings, retrieval-augmented generation, model evaluation, and AI safety controls is preferred

Must-Have • Strong proficiency in Java, Python, or similar backend languages;

• Hands-on experience building agentic or AI-enabled applications;

• Strong understanding of APIs, distributed systems, event-driven architectures, and enterprise integration patterns

• Experience with React or Next.js

• Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure

• Experience with CI/CD, automation, and engineering productivity tooling;

• Familiarity with modern AI frameworks, SDKs, and tools for building intelligent applications and agent workflows