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 h

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