Artificial Intelligence Engineer

Software Technology Inc.; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology firm is seeking a skilled Lead AI Engineer to modernize its ElasticSearch system by integrating advanced search techniques. This role involves designing embedding-based retrieval pipelines and deploying services on AWS. Candidates should have a solid background in information retrieval and LLM-powered ranking. The position offers an opportunity to work collaboratively with cross-functional teams to enhance search capabilities and deliver a personalized user experience.

Qualifications

• Hands-on experience with ElasticSearch internals and search system design.
• Strong background in information retrieval, embedding search, and ranking algorithms.
• Proficiency with LLM-based retrieval pipelines and re-ranking techniques.
• Experience deploying and scaling search services on AWS.
• Excellent problem-solving skills and a collaborative mindset.

Responsibilities

• Modernize the existing ElasticSearch architecture to support semantic search and LLM-powered ranking.
• Design and implement embedding-based retrieval pipelines and dense retrieval modules.
• Integrate and fine-tune LLM models for search ranking and re-ranking tasks.
• Deploy and maintain search services on AWS, ensuring scalability and performance.
• Collaborate with cross-functional teams to define search use cases and success metrics.

Skills

ElasticSearch internals

Information retrieval (IR)

Embedding-based search

BM25

Re-ranking

LLM-based retrieval pipelines

AWS cloud deployment

Job description

Lead AI Engineer (Search Modernization)

Direct message the job poster from Software Technology Inc.

We are looking for an AI Engineer to modernize and enhance our existing regex/keyword-based ElasticSearch system by integrating state‑of‑the‑art semantic search, dense retrieval, and LLM‑powered ranking techniques.

This role will drive the transformation of traditional search into an intelligent, context‑aware, personalized, and high‑precision search experience.

Key Skills: ElasticSearch internals, information retrieval (IR), embedding‑based search, BM25, re‑ranking, LLM‑based retrieval pipelines, AWS cloud deployment.

Responsibilities

• Modernize the existing ElasticSearch architecture to support semantic search and LLM‑powered ranking.
• Design and implement embedding‑based retrieval pipelines and dense retrieval modules.
• Integrate and fine‑tune LLM models for search ranking and re‑ranking tasks.
• Deploy and maintain search services on AWS, ensuring scalability and performance.
• Collaborate with cross‑functional teams to define search use cases and success metrics.

Qualifications

• Hands‑on experience with ElasticSearch internals and search system design.
• Strong background in information retrieval, embedding search, and ranking algorithms.
• Proficiency with LLM‑based retrieval pipelines and re‑ranking techniques.
• Experience deploying and scaling search services on AWS.
• Excellent problem‑solving skills and a collaborative mindset.

Regards

Rana

Phone: [phone]

Email: [e-mail] | Web: www.stiorg.com

100 Overlook Center, Suite 200, Princeton, NJ 08540.