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Tier-1 brand, generic title, mid-level experience, metro location, and broad GenAI skillset increase competition.
Core GenAI and MLOps skills are transferable, but BFSI compliance and enterprise constraints increase domain specificity.
Explicit 2+ years plus specific GenAI and MLOps technology expectations create moderately strict shortlisting.
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Contribute to low to moderately complex software projects including design, coding, testing, deployment, and upgrades in the Gen AI technology domain.
Identify and recommend improvements for service quality and availability within the technology environment.
Provide technical analysis, resolve issues related to low to medium risk deliverables, and communicate with technology colleagues and stakeholders.
Minimum 2+ years of software engineering experience (including work experience, training, military experience, or education).
Strong proficiency in Python/Java and familiarity with Large Language Model (LLM) orchestration frameworks (LangChain, LangGraph).
Experience with frontend development using React.js for AI applications and version control using GitHub & CI/CD pipelines.
Knowledge of enterprise Gen AI use cases and responsible AI practices, including security and compliance requirements.
Experience in BFSI Global Capability Centers (GCC) or Product Engineering organizations for software engineering roles.
Hands-on knowledge of Gen AI technologies such as LLM context protocols, RAG architectures, vector databases, prompt engineering, and semantic search systems.
Comfortable working in Agile environments with globally distributed teams and implementing AI application performance optimization and security best practices.