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Tier-1 employer, Bangalore metro, and highly-visible GenAI role drive strong applicant competition.
GenAI/LLM engineering skills are transferable, but enterprise compliance and banking domain preferences increase sensitivity.
Mandatory 7+ years, Python, GenAI/LLM, agent orchestration and vector DB expertise impose high shortlisting strictness.
Advise leadership on development and strategy for complex technical needs across multiple enterprise domains including applications, network, security, and systems.
Lead resolution of highly complex challenges through innovative, long-term technical solutions with enterprise-wide impact.
Own end-to-end GenAI platform components and drive adoption of agentic AI to deliver measurable business impact across business lines.
7+ years of engineering experience or equivalent.
Strong programming expertise in Python is mandatory.
Proven experience building GenAI / LLM-based applications and working with agent orchestration frameworks and autonomous systems.
Hands-on experience with LLM APIs, vector databases, context engineering, prompt design, and memory management architectures.
Experienced in strategic design and leadership of distributed systems with a focus on AI/GenAI technologies.
Familiarity with multi-agent system design, autonomous coding agents, and enterprise AI platforms including RAG and orchestration layers.
Demonstrated ability to influence strategic AI initiatives and collaborate across global teams in complex, compliance-driven environments.