Prompt Engineer

3 days ago

Geylang, Singapore Marine Online (Singapore) Full time

**Responsibilities**:

- Conduct research on prompt engineering techniques, including few-shot learning, chain-of-thought prompting, and reinforcement learning-based prompt tuning.
- Collaborate with data scientists, software engineers, and product teams to integrate prompt-based solutions into AI-driven products and services.
- Analyze model outputs, fine-tune prompts, and iterate based on evaluation metrics and user feedback.
- Develop automated tools and frameworks for testing and refining prompts to enhance model robustness and adaptability.
- Stay up to date with the latest advancements in LLMs, NLP, and AI prompting techniques to continuously enhance system performance.
- Document best practices, guidelines, and strategies for effective prompt engineering.
- Complete other tasks assigned by leadership related to AI prompt optimization and deployment.

**Job Requirements**:

- Bachelor’s degree or above in Computer Science, AI, NLP, or a related field.
- Strong understanding of LLMs (e.g., GPT, Claude, Gemini, Llama, Mistral) and experience with prompt engineering techniques.
- Hands-on experience in fine-tuning LLMs, using LoRA, RAG, or instruction tuning is a plus.
- Proficiency in Python and experience working with AI/ML frameworks such as Hugging Face, OpenAI API, LangChain, LlamaIndex, or similar tools.
- Strong analytical skills with the ability to assess model responses and refine prompts systematically.
- Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-augmented generation (RAG) methodologies is a plus.
- Experience in A/B testing, model evaluation, or reinforcement learning is a plus.
- Strong communication and teamwork skills to collaborate effectively with cross-functional teams.

Pay: $4,000.00 - $6,500.00 per month

**Benefits**:

- Additional leave
- Food provided
- Health insurance
- Professional development

Schedule:

- Monday to Friday

Supplemental Pay:

- Performance bonus

Work Location: In person

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