AI Engineering Intern: Personalization & Retrieval Pipelines

Talanto; Mountain View, Northern (CA, KY); Hybrid; USD 30,000 - 70,000; Full time

Job summary

Talanto in Mountain View, CA invites talented interns to join our AI internship program in the Engineering track. You will help build the personalized provider-recommendation pipeline end to end, from user understanding with LLMs to provider retrieval and ranking, working closely with engineers and product managers.

Ideal candidates are pursuing CS/AI, proficient in Python or Java, with hands-on experience in LLM apps, search or ML fundamentals, and strong problem-solving and communication.

Qualifications

• Pursuing a bachelor's degree or higher in Computer Science, AI, or a related field.
• Proficient in Python or Java with solid data structures and algorithms.
• Hands-on experience developing LLM applications or agents (RAG, agent workflows, evaluation harnesses).
• Understanding of search, recommendation, or ML fundamentals.

Responsibilities

• Help build the personalized provider-recommendation pipeline end to end: user understanding with LLMs, provider retrieval and ranking, backstage agent workflows, multi-source knowledge integration, and evaluation, working with engineers and product managers from design through launch.
• User understanding and personalization: extract service requirements, preferences, and constraints from conversations and context.
• Provider retrieval and ranking: combine semantic search, recommendation algorithms, and provider features to improve relevance and coverage.
• Agent workflows: build backstage pipelines connecting intent understanding, retrieval, provider comparison, and explanations for users.

Skills

Python

Java

LLM apps

Search fundamentals

ML fundamentals

Communication

Education

Bachelor's degree in CS/AI

Tools

Elasticsearch

MongoDB

PostgreSQL

Vector databases

Data pipelines

Job description

Talanto in Mountain View, CA invites talented interns to join our AI internship program in the Engineering track. You will help build the personalized provider-recommendation pipeline end to end, from user understanding with LLMs to provider retrieval and ranking, working closely with engineers and product managers.

Ideal candidates are pursuing CS/AI, proficient in Python or Java, with hands-on experience in LLM apps, search or ML fundamentals, and strong problem-solving and communication.