Crescendo Staffing and Business Consulting Inc.
On-site - Quezon City 1-3 Yrs Exp Master Full-time
Job Description
Employee Recognition and Rewards
Equity Incentive Plan, Commission, Performance Bonus
Government Mandated Benefits
13th Month Pay, Employee Loan, Pag-Ibig Fund, Paid Holidays
Professional Development
Job Training
Job Title: LLM Expert
Department: AI / Technology / Operations
Reports To: AI Lead / ML Manager / Product Manager
Employment Type: Full-time
Job Summary
The LLM Expert is responsible for the day-to-day application, support, and optimization of Large Language Model (LLM) solutions. This role focuses on prompt design, evaluation, troubleshooting, and safe deployment of LLM‑powered workflows to support business operations, customer interactions, and internal tools.
Tier 1 LLM Experts handle standard use cases, initial triage, and operational improvements, escalating complex model or system issues to higher‑tier experts.
Key Responsibilities
- Design, test, and refine prompts for accuracy, consistency, and safety.
- Apply LLMs to use cases such as:
- Content drafting and summarization
- Data extraction and classification
- Maintain prompt libraries and usage guidelines.
B. LLM Operations & Support
- Monitor LLM outputs for quality, bias, and hallucinations.
- Perform first-level troubleshooting for LLM‑related issues.
- Identify failure patterns and elevate to Tier 2 / Engineering.
- Support rollout of LLM features and workflows.
C. Evaluation & Quality Control
- Conduct manual and automated evaluations of LLM responses.
- Compare outputs against defined success criteria.
- Document issues, improvements, and performance trends.
D. Safety, Policy & Compliance
- Ensure outputs comply with:
- Company AI use policies
- Data privacy and confidentiality requirements
- Responsible AI standards
- Flag potential safety, ethical, or compliance risks.
- Work with product, engineering, and operations teams.
- Translate business requirements into LLM‑ready instructions.
- Create user guides, prompt documentation, and FAQs.
Qualifications
Education
- Master's Degree and above.
- Equivalent experience may be considered.
Experience
- 1–5 years of relevant industry experience in working with LLMs or AI tools.
- Hands‑on experience using platforms such as OpenAI, Azure OpenAI, Anthropic, Google, or similar LLM providers.
- Experience with prompt engineering or AI‑assisted workflows.
Technical Skills
- Strong understanding of:
- LLM limitations (hallucinations, bias, context windows)
- Token usage and cost awareness
- Familiarity with:
- APIs (basic level)
- JSON / structured outputs
Soft Skills
- Analytical and detail‑oriented
- Ability to explain AI outputs to non‑technical users
- Strong judgment and accountability
Tools & Technologies
- Prompt management tools
- Internal knowledge bases and datasets
- Basic scripting or automation tools (optional)
Working Location
Work location and conditions to be discussed during interview.