Senior AI Engineer — Grounded ML for Finance Ops

Meeru AI Inc; Pleasanton (CA); Presencial; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

Meeru AI Inc. seeks a Senior AI Engineer to build the AI and intelligence layer for our finance-focused platform.

You will own end-to-end ML models, a template-driven NL system grounded in verified data, and an agentic orchestration layer, collaborating with the Staff AI Engineer and evaluation engineer. You will deploy production Python services with Snowflake and PostgreSQL access, integrating LLMs across customer clouds and turning user feedback into durable improvements.

Qualificações

• Experience building ML models for time-series and operational data.
• Proficiency in Python production services and ML pipelines.
• Knowledge of guarding against data leakage and hallucination in AI outputs.
• Experience with cloud-hosted LLMs and on-prem deployments is a plus.
• Ability to collaborate with evaluation and staff engineers to gate grounding and faithfulness checks.

Responsabilidades

• Build per-customer ML models that detect normal vs anomalous behavior in time-series data using LightGBM/XGBoost.
• Create a template-first NLP layer grounded in verified data with guardrails and structured outputs.
• Implement agentic orchestration (LangGraph or equivalent) with verification checkpoints.
• Integrate managed LLMs in customer clouds (Bedrock, Vertex AI, Azure OpenAI).
• Collaborate with evaluation engineer to gate grounding, hallucination, and faithfulness in CI.
• Translate user feedback into durable model and system improvements.
• Deliver production Python services with SQL access (Snowflake, PostgreSQL) in containerized deployments.

Conhecimentos

Machine learning

Python

LLM

Time-series modeling

Data analysis

Ferramentas

LightGBM

XGBoost

Snowflake

PostgreSQL

LangGraph

AWS Bedrock

GCP Vertex AI

Azure OpenAI

Descrição da oferta de emprego

Meeru AI Inc. seeks a Senior AI Engineer to build the AI and intelligence layer for our finance-focused platform.

You will own end-to-end ML models, a template-driven NL system grounded in verified data, and an agentic orchestration layer, collaborating with the Staff AI Engineer and evaluation engineer. You will deploy production Python services with Snowflake and PostgreSQL access, integrating LLMs across customer clouds and turning user feedback into durable improvements.