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Strong employer brand, metro location, mid-level role but niche Agentic AI skills reduce applicant density.
Core AI/ML skills are transferable, but finance domain and agentic AI specialization increase sector-specific requirements.
Mandatory 5+ years and specialized ML, Agentic AI, LangChain and AWS requirements increase shortlisting strictness.
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Design, develop, and deploy scalable Generative AI, Agentic AI, Machine Learning, and Retrieval-Augmented Generation (RAG) solutions using Python and AWS.
Lead backend optimization, data integration, and build secure, cloud-native AI applications compliant with enterprise security and governance standards.
Collaborate with business stakeholders and leadership to translate requirements into AI-driven solutions; lead technical design discussions and mentor teams on AI/ML best practices.
Minimum 5 years of experience in software development, system integration, database design, and back-end architecture.
Bachelor’s degree in Computer Science or Master’s/Diploma in a relevant field.
Expert-level proficiency in Python and hands-on experience with AWS Cloud Services for cloud-native application development.
Strong experience in Agentic AI development including designing and implementing RAG solutions; hands-on expertise with at least one framework among LangChain, LangGraph, Google ADK, CrewAI, or AutoGen.
Experienced in building and deploying end-to-end AI/ML solutions in cloud environments with strong backend architecture skills.
Capable of leading AI strategic initiatives and mentoring development teams on AI/ML best practices.
Strong collaborator able to work with cross-functional teams including Data Engineering, Cloud, Product, and Business stakeholders in a hybrid work setting.