Senior Technical Lead/Software Engineer - Generative AI Apps

<p><p><b>Key Responsibilities :</b><br/><br/></p><p>- Lead and contribute directly to codebase development for GenAI applications.<br/><br/></p><p>- Perform code evaluation, including reviewing, testing, and benchmarking generated or human-written code.<br/><br/></p><p>- Develop test suites and define code quality metrics such as correctness, efficiency, maintainability, and security.<br/><br/></p><p>- Collaborate with AI/ML engineers and product teams to ensure technical feasibility and high performance.<br/><br/></p><p>- Contribute to the development, fine-tuning, and evaluation of code generation models and tools.<br/><br/></p><p>- Adapt quickly to new programming languages, tools, and GenAI evaluation methodologies.<br/><br/><b>Required Skills & Experience :</b><br/><br/></p><p>- 7 to 10+ years of experience building and delivering large-scale, production-grade software systems.<br/><br/></p><p>- Strong programming expertise in at least one of the following languages : Python, Java, C, C++, JavaScript<br/><br/></p><p>- Ability to write clean, efficient, and secure code and evaluate code in multiple programming languages.<br/><br/></p><p>- Hands-on experience in code review, test automation, and benchmarking software performance.<br/><br/></p><p>- Familiarity with CI/CD pipelines, Git, and unit/integration testing best practices.<br/><br/><b>Preferred Qualifications :</b><br/><br/></p><p>- Exposure to Generative AI, Large Language Models (LLMs), or tools like Codex, Copilot, Code Llama, etc.<br/><br/></p><p>- Experience working on code generation, model fine-tuning, or GenAI-powered developer tools.<br/><br/></p><p>- Understanding of AI evaluation techniques such as pass@k, fuzz testing, unit test generation, or synthetic benchmark design.<br/><br/></p><p>- Experience working in a remote, agile, and fast-paced environment</p><br/></p> (ref:hirist.tech)