5+ years of work experience with a bachelor's degree or an advanced degree in Computer Science, Information Technology, Engineering, or a related field.
3+ Experience with building backend services and APIs, including integration with distributed data systems and cloud-native architectures.
3+ Strong experience in writing efficient, maintainable code for large-scale systems and data-driven applications.
1+ years of hands-on experience with GenAI technologies including LLMs, prompt engineering, embeddings, fine-tuning, or building RAG (Retrieval-Augmented Generation) pipelines.
Strong programming skills in one or more languages such as Python, Java, or Scala, with a solid foundation in software design principles, testing, and version control (e.g., Git). Python developers are preferred.
Strong backend engineering background with expertise in building scalable systems using Python, C#, Java or similar, and hands-on experience with microservices, REST APIs, Kafka, and cloud platforms (AWS/Azure) preferably with exposure to secure, low-latency architectures.
Demonstrated interest or experience in GenAI/Agentic AI systems including building or integrating with LLMs (e.g., OpenAI, Claude), use of tools like LangChain, LangGraph, Copilot, or vector DBs, or implementing AI agent orchestration logic in real-world workflows.
Comfortable working in AI-first environments, with experience using modern developer tools (e.g., Docker, Kubernetes, CI/CD, Git), and exposure to prompt engineering, embeddings, or AI-based toolchains preferred
