Join us as an AI/ML Engineer, developing cutting-edge applications and systems powered by AI and Cloud AI services. You'll build production-ready pipelines, integrating Generative AI models into solutions. This role offers the chance to work with deep learning, neural networks, chatbots, and image processing.

We are seeking individuals with a strong track record of contributing meaningful code to production software, AI, ML, or data systems. Coursework, certifications, and prototype experience alone are not sufficient. Practical experience with AI development tools like Cursor, GitHub Copilot, Claude Code, Codex, or Replit Agent is essential for building and deploying AI services.

Your responsibilities will include building robust AI services, agents, and retrieval pipelines, as well as developing production-quality Python services and APIs. You will be instrumental in connecting AI systems to enterprise data sources and business applications.

Key tasks involve implementing automated tests, evaluations, logging, tracing, and comprehensive monitoring. You'll also troubleshoot model outputs, data quality, integration failures, and performance issues. Supporting deployment, user testing, and production stabilization, along with documenting reusable components and implementation patterns, are also vital aspects of this role.

A minimum of three years of experience is required for this position. You should possess strong skills in Python, APIs, data structures, software engineering, and testing. Expertise in LLMs, RAG, embeddings, vector databases, tool calling, and prompt design is crucial.

Familiarity with cloud services, Docker, Git, CI/CD, SQL, and backend frameworks is expected. The role also demands an understanding of secure coding practices, observability, latency, and cost considerations. A background in developing applications and systems that utilize AI tools and Cloud AI services, with a focus on production-ready quality, is fundamental.