Senior Software Engineer, Core Experiences (Contract) at Wikimedia Foundation

Wikimedia Foundation

SeniorFull-timeBrazil, Canada, CA

Countries: Brazil, Canada, Colombia, Germany, Ghana, India, Indonesia, Italy, Kenya\, Mexico, Morocco, Netherlands, Poland, Singapore\, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (\citizens/permanent residents only) [...] \Please note that we are currently able to hire in the following: US States: Arizona, California, Colorado, Connecticut,

Apply on employer site

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:None listed
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.

Want the full course when it launches? Join the waitlist and we will notify you.

Similar jobs

Other verified postings in the same role family or with overlapping skills.

Staff Engineer, AI Product at AlphaSense
AlphaSense
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-dr…
StaffTogether, AlphaSense
- AI fundamentals
- Representation Design for LLM Systems
Greenhouse
Senior Applied AI Engineer at Konovo
Konovo
Senior Applied AI Engineer Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabli…
SeniorBosnia, IN
- AI fundamentals
- Representation Design for LLM Systems
Greenhouse
Senior Product Security Engineer at AlphaSense
AlphaSense
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-dr…
SeniorTogether, AlphaSense
- AI fundamentals
- Representation Design for LLM Systems
Greenhouse
Engineering Manager, Verifications
Checkr
Engineering Manager, Verifications Denver, Colorado, United States; San Francisco, California, United States Product Data Analyst II San Fr…
StaffJob Engineering Manager, Verifications
- AI fundamentals
- Machine learning
- Representation Design for LLM Systems
Greenhouse

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

Similar jobs

Staff Engineer, AI Product at AlphaSense

Senior Applied AI Engineer at Konovo

Senior Product Security Engineer at AlphaSense

Engineering Manager, Verifications