Back
Tier-1 brand, mid-level ML role, metro location, and broad LLM/software requirements increase applicant competition.
ML/AI production and LLM experience is transferable across industries but requires specific model and deployment expertise.
Explicit 3+ years, mandatory ML/LLM production experience and specific tech stack raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, deploy, and maintain production-grade AI/ML applications including LLM-powered and agentic systems for core business workflows.
Collaborate cross-functionally with Data Scientists, engineers, and business partners to translate business problems into technical solutions and ensure AI system reliability, security, and maintainability.
Contribute to technical leadership by evaluating options, resolving roadblocks, and improving reusable AI engineering patterns and practices.
Bachelor's degree or equivalent experience required.
Minimum 3 years of hands-on software engineering experience including production system development or support.
Experience specifically in developing AI/ML applications, including working with LLM-powered applications and frameworks such as PyTorch or TensorFlow.
Proficiency in Python, system design, API development, CI/CD, and production support practices.
Experienced engineer with a strong background in AI/ML application development, particularly with LLMs and agentic AI systems.
Capable of independently handling engineering workstreams while effectively collaborating with senior technical and cross-functional partners.
Detail-oriented with ability to deliver maintainable, secure, and well-tested AI solutions under high technical standards and fast-paced environment.