Industry : Generative AI / Large Language Models
Location : Remote (Work From Anywhere)
Experience : 1–3 years
Employment Type : Full-time
About the Rol
eOur client, an innovator in Generative AI solution s, is seeking a Prompt Enginee r 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 fo r LL Ms (GPT, Claude, LLaMA, etc.).Fine-tune model behavior using prompt engineering and contextual workflows.Collaborate with product and domain teams to translate requirements into AI workflows.Conduct experiments to evaluate and improve model accuracy and reliability.Build and maintain reusabl e prompt librari es with proper documentation.Partner with AI engineers to integrate prompt designs into production systems.Research and stay updated wit h Generative AI and LLM advancemen ts.
Required Skills & Qualificati
onsBachelor's / Master's in Computer Science, Data Science, Linguist ics, or related field (or equivalent experience).1–3 years of experience in AI / ML, NLP, or related ro les (internships / projects count).Strong understanding of Generative AI and L LMs.Proficiency in Pyt hon and familiarity with frameworks such as LangChain, Hugging Face, OpenAI API.Ability to craft clear, effective prompts across different tasks / domains.Strong analytical mindset for evaluating model outputs and improvements.Excellent written and verbal communication skills.
Good to
HaveExperience w ith LLM fine-tu ning or Reinforcement Learning with Human Feedback (R LHF).Knowledge of vector datab ases (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG).Familiarity w ith cloud AI platf orms (AWS, GCP, Azure).Creative problem-solving and ability to think like both a user and an engineer.
Skills Required
Gcp, Aws