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Metro location, broad full-stack+LLM requirements, and mid-senior profile yield medium competition.
High because role requires specialized LLM, agentic AI, and ML deployment expertise not easily transferable.
High due to explicit 7–12 years requirement and many mandatory ML/AI, AWS, and full-stack technical skills.
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Build scalable AI-powered applications leveraging large language models (LLMs), agentic AI frameworks, deep learning, and chatbots.
Design and implement high-performance, secure RESTful APIs and backend microservices architectures using Python and AWS AI/ML services.
Collaborate on full-stack development including frontend technologies like JavaScript, React, and Next.js, ensuring robust unit testing and code quality.
7 to 12 years of work experience in software development, with 5+ years hands-on experience in Python.
Bachelor’s or master’s degree in Computer Science, Engineering, AI, Machine Learning, or related field.
Experience with LLMs, Generative AI applications, and agentic AI frameworks (e.g., LangChain, AutoGen, Crew AI).
Proficiency in AWS AI/ML services (Amazon Bedrock, SageMaker, Lambda, API Gateway, ECS/EKS, DynamoDB, S3) and modern frontend technologies (JavaScript, ReactJS, Next.js).
Senior-level AI/GenAI full-stack engineer with strong expertise in Python and AWS cloud-based AI/ML services.
Experienced in designing scalable and secure distributed systems including microservices and RESTful API development.
Capable of integrating frontend and backend development, with practical knowledge of agentic AI frameworks and modern frontend stacks.