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Mid-level LLM role in Mumbai with metro location and mid-experience increases competition.
Requires LLM production plus finance/ERP domain experience, reducing cross-industry transferability.
Explicit 5+ years and 2+ years LLM production plus specific tech and ERP requirements makes filtering strict.
Own end-to-end design, deployment, and scaling of autonomous AI agents executing CFO finance workflows such as accounts payable, reconciliation, and month-end close.
Integrate AI agents with enterprise systems including SAP, handling process execution, error recovery, auditability, and approval workflows with human-in-the-loop controls.
Build and maintain evaluation frameworks, memory systems, and scale AI workflows focusing on latency, throughput, reliability, and cost efficiency.
5+ years of software/ML engineering experience, including 2+ years building and shipping LLM-based AI agent systems in production.
Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
Proficiency in Python and experience with AI/ML development, memory & context strategies for LLM agents, and evaluation frameworks.
Experience with enterprise system integration, specifically SAP or ERP, and cloud-native deployment on AWS, GCP, or Azure.
Senior engineer with proven experience in deploying multi-step autonomous AI agents performing real actions on enterprise finance workflows.
Strong background in LLM model operation, agent orchestration frameworks (e.g. LangChain, LangGraph), and building scalable, reliable AI systems with audit and control mechanisms.
Familiarity with finance domain concepts such as accounting, ERP/SAP integration, and compliance workflows is preferred for strategic fit.