LLM AI/ML Engineer - Entity Resolution (Remote)

Lakefusion; United States; Remote; USD 150,000 - 220,000; Full time

Benefits offered by this job

Remote work in India

Job summary

Lakefusion is seeking an AI/ML engineer to advance a master data management platform built on Databricks. You will design and optimize LLM-driven entity resolution, focusing on match accuracy, explainability, and scalable performance across enterprise data domains.

In a fast-paced startup, you will own prompt engineering strategies, refine RAG architectures, monitor drift, and ship production-grade AI/ML solutions with clean, user-facing tooling and transparent decision processes for technical

Qualifications

• Solid experience with LLM-based systems, prompt engineering, and RAG architectures.
• Background in entity resolution, matching, or related data quality and master data problems.
• Comfort building production-grade AI/ML systems and evaluation frameworks.
• Ability to translate business requirements into robust technical solutions and user-facing tools.
• Experience working with product, data engineering, and data stewardship teams.
• A self-directed working style suited to a fast-paced startup environment.

Responsibilities

• Lead the design, development, and optimization of prompt engineering strategies for LLM-based entity matching.
• Drive continuous improvement of Retrieval-Augmented Generation architectures and evaluation frameworks.
• Improve precision and recall, reduce bias, and ensure scalable, cost-efficient model performance in production.
• Translate complex business requirements into robust AI/ML solutions and build user-facing tools.
• Monitor model performance, identify drift, and continuously iterate to improve outcomes.
• Collaborate with product managers, data engineers, and data stewards to deliver integrated solutions and communicate findings to stakeholders.

Skills

LLM-based systems

Prompt engineering

RAG architectures

Entity resolution

Production-grade ML

Tools

Databricks platform

CI/CD for ML pipelines

Job description

Lakefusion is seeking an AI/ML engineer to advance a master data management platform built on Databricks. You will design and optimize LLM-driven entity resolution, focusing on match accuracy, explainability, and scalable performance across enterprise data domains.

In a fast-paced startup, you will own prompt engineering strategies, refine RAG architectures, monitor drift, and ship production-grade AI/ML solutions with clean, user-facing tooling and transparent decision processes for technical