Experience:
Design and implement AI/ML-powered features and services.
Build scalable APIs and infrastructure to support AI models in production.
Collaborate with data scientists to optimize models for performance and reliability.
Integrate AI capabilities into web/mobile platforms, backend systems, or embedded devices.
Participate in code reviews, architecture discussions, and R&D initiatives.
Ensure software reliability, scalability, and maintainability through testing and best practices.
Monitor and improve deployed models and AI systems using telemetry and feedback loops
Technology skills:
Bachelor’s or master’s degree in computer science, Software Engineering, or related field.
2–5+ years of software development experience with proficiency in any of the following - C#, SQL, Python, Java, C++, or similar.
Solid understanding of machine learning fundamentals and data structures/algorithms.
Experience with ML/DL frameworks
Experience working with APIs and SDKs from platforms like OpenAI, Cohere, or Anthropic.
Familiarity with deploying AI models to production
Strong debugging, problem-solving, and analytical skills.
Knowledge of LangChain, LlamaIndex, or other frameworks for building agent-based or RAG-based systems.