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Tier-1 brand, Pune metro location, and mid-level generalist GenAI title increase applicant competition density.
Generative AI and Bedrock expertise is transferable across sectors but requires specific LLM and AWS cloud experience.
Explicit 3-4 year requirement plus mandatory Bedrock, LLM, Python and AWS skills create strict shortlisting filters.
Design, develop, and deliver scalable, maintainable, and high-performance software solutions, primarily using Python and AWS technologies.
Build Generative AI applications leveraging Large Language Models, Retrieval Augmented Generation, prompt engineering, AI agents, and conversational AI.
Collaborate cross-functionally on software requirements, code reviews, secure coding practices, and testing to ensure integration aligns with business objectives and technology standards.
3-4 years of hands-on software development experience with Python, including API development and code optimization.
Proven experience building Generative AI applications using LLMs, RAG, prompt engineering, and conversational AI.
Hands-on experience with AWS Bedrock and AWS services such as Lambda, S3, API Gateway, CloudWatch, IAM, and Step Functions.
Experience with REST APIs, integration of enterprise applications, and knowledge of CI/CD, Git, DevOps, and agile methodologies.
Experienced in driving production-level Generative AI projects using AWS Bedrock and related cloud-native deployment practices.
Capable of leading or advising development teams with strong technical knowledge and ability to influence decision-making within AI/platform engineering contexts.
Comfortable working in cross-functional teams, ensuring secure, maintainable, and scalable AI software aligned with business goals in a regulated enterprise environment.