Description
WHAT YOU’LL DO
- LLM Engineering Standards Across Agent Pods
- Define and own LLM engineering standards across all Agent Stream pods — agent framework conventions, prompt lifecycle standards, eval harness design patterns, guardrail implementation, and confidence threshold calibration methodology that all Senior AI/ML Engineers follow.
- Own the Langfuse observability framework at platform level — instrumentation standards, trace validation patterns, eval pipeline design, prompt regression testing, and model version regression detection. Pod-level Langfuse usage is consistent because this role defines how it is done.
- Standardise RAG pipeline architecture across pods — embedding strategy, vector database selection and management, retrieval strategy, reranking, and structured output design for financial document reasoning. Shared RAG infrastructure is your design.
- Review and challenge agent design proposals from pod AI/ML engineers — raise the bar on prompt design, memory architecture, evaluation rigour, and production reliability across the stream.




- Contribute to AI/ML hiring — define the technical bar for AI/ML engineers across the stream, participate in interviews, and ensure hiring standards are consistent across pods.
- Memory Architecture Ownership
- Own the memory architecture strategy for the AI Platform — designing the personalised, complex memory layer that agents depend on for continuity, context, and adaptive behaviour across sessions and users.
- Design and implement the tiered memory architecture for agent workflows — working memory (in-context), episodic memory (past interactions), semantic memory (extracted facts and preferences), and procedural memory (agent instruction updates). Select and implement the right memory framework for each tier: LangMem for LangGraph-native flows, Mem0 for managed personalisation, Zep/Graphiti for temporal and knowledge-graph reasoning, or Letta for explicit OS-style memory management.
- Define memory hygi

📌 Principal AI/ML Engineer Lead (Bengaluru)
🏢 Trintech Solutions
📍 Bengaluru