Prompt Engineer

4 weeks ago

India Topskill.io Full time

Job Description

Industry: Generative AI / Large Language Models

Location: Remote (Work From Anywhere)

Experience: 13 years

Employment Type: Full-time

About the Rol

eOur client, an innovator in Generative AI solutions, is seeking a Prompt Engineer to design, refine, and optimize prompts for Large Language Models (LLMs) such as GPT, Claude, and LLaMA. This role blends creativity, analytical thinking, and technical expertise to ensure AI systems deliver accurate, reliable, and context-aware outputs across real-world use cases

.You will collaborate with AI engineers, product managers, and domain experts to translate business needs into AI-driven workflows, while experimenting with cutting-edge techniques in LLM optimization and contextual design

.
Key Responsibiliti

- esDesign, test, and optimize prompts for LLMs (GPT, Claude, LLaMA, etc.
- ).Fine-tune model behavior using prompt engineering and contextual workflow
- s.Collaborate with product and domain teams to translate requirements into AI workflow
- s.Conduct experiments to evaluate and improve model accuracy and reliabilit
- y.Build and maintain reusable prompt libraries with proper documentatio
- n.Partner with AI engineers to integrate prompt designs into production system
- s.Research and stay updated with Generative AI and LLM advancement

s.
Required Skills & Qualificati

- onsBachelor's/Master's in Computer Science, Data Science, Linguistics, or related field (or equivalent experienc
- e).13 years of experience in AI/ML, NLP, or related roles (internships/projects coun
- t).Strong understanding of Generative AI and LL
- Ms.Proficiency in Python and familiarity with frameworks such as LangChain, Hugging Face, OpenAI A
- PI.Ability to craft clear, effective prompts across different tasks/domai
- ns.Strong analytical mindset for evaluating model outputs and improvemen
- ts.Excellent written and verbal communication skil

ls.
Good to

- HaveExperience with LLM fine-tuning or Reinforcement Learning with Human Feedback (RL
- HF).Knowledge of vector databases (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (R
- AG).Familiarity with cloud AI platforms (AWS, GCP, Azu
- re).Creative problem-solving and ability to think like both a user and an engin

eer.

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