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Tier-1 brand, metro location, mid-level LLM/AWS role with broad skillset increases competition.
Requires specialized ML/LLM and AWS experience, limiting transferability across non-AI roles.
Explicit 5+ years requirement plus mandatory AWS, LLM, and production deployment skills make filters strict.
Develop, deploy, and optimize enterprise AI applications using AWS cloud technologies, Generative AI, LLMs, and Agentic AI.
Design and implement scalable, secure AI solutions including generative AI assistants, AI agents, and integration with enterprise systems.
Lead AI model optimization, MLOps practices, and collaborate with architects and stakeholders to deliver AI-driven business outcomes.
Bachelor's degree in Computer Science, Engineering, IT, Data Science, or related field.
5+ years software engineering or application development experience; 2+ years hands-on AI, ML or Generative AI development experience.
Strong proficiency in Python and experience building cloud native applications on AWS, including API and microservices development.
Experience integrating LLMs and Generative AI in production; understanding of distributed cloud architectures.
Experienced senior AI engineer proficient in AWS AI services (Amazon Bedrock, SageMaker, Amazon Q) and modern AI frameworks.
Skilled in building secure, scalable, high-performance AI solutions that generate measurable business value.
Operationally capable of end-to-end AI project life cycle including model engineering, optimization, MLOps, and cross-functional collaboration.