Staff Engineer, AI Product at AlphaSense

AlphaSense

StaffTogether, AlphaSenseai

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Fo

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Skills in this role

AI fundamentals

Courses relevant to this posting

Relevance is based on skills and concepts — not a guarantee that you qualify.

Representation Design for LLM Systems
Covered skills:AI fundamentals
Skills to close:None listed

Build the skills for this job

Coming-soon courses matched to this posting — outline, waitlist, and skill path.

Course DNA for this role

Representation Design for LLM Systems

7 chapters · 33 lessons

1. How LLMs Process Information
4 lessons
Understand tokenization, embeddings, and attention mechanisms to predict how representation choices affect model behavior.
2. Structured vs Unstructured Representations
5 lessons
Compare representation formats and learn when to use lists, tables, JSON, typed blocks, and narrative text.
3. Context Selection and Retrieval Design
5 lessons
Build systems that identify and surface relevant information from large document collections and databases.
4. Transforming Domain Data for LLM Input
4 lessons
Convert databases, APIs, logs, and structured sources into formats that preserve signal and reduce noise.
5. Prompt Patterns for Common Tasks
5 lessons
Apply proven representation strategies for classification, extraction, summarization, and reasoning workflows.
6. Evaluation and Iteration
5 lessons
Build test suites and metrics to measure representation quality and identify systematic failures.
7. Production System Design
5 lessons
Architect scalable pipelines that combine retrieval, transformation, generation, and monitoring.

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Skills in this role

Courses relevant to this posting

Build the skills for this job

Representation Design for LLM Systems

1. How LLMs Process Information

2. Structured vs Unstructured Representations

3. Context Selection and Retrieval Design

4. Transforming Domain Data for LLM Input

5. Prompt Patterns for Common Tasks

6. Evaluation and Iteration

7. Production System Design

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