Prompt Engineer

2 weeks ago

Hyderabad, Telangana, India Pronix Inc Full time

Job Title: Prompt Engineer with Strong Backend Integration Exp

Location: Gachibowli, Hyderabad (On-site)

Working Times: 2.00 PM to 11.00 PM IST

Job Description:

We are looking for a skilled and passionate Prompt Engineer with hands-on experience in Prompt Engineering and LLM-based application development . You will work on building, deploying, and scaling GenAI-powered applications using cutting-edge technologies in AI, full-stack development, and cloud computing.

Key Responsibilities:

  • Design and develop AI applications using Large Language Models (LLMs) such as GPT-4, Claude, or LLaMA.
  • Write, optimize, and evaluate prompts for various use cases and tasks.
  • Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies
  • Build responsive frontend interfaces using React.js, Vue.js, or similar frameworks.
  • Integrate with AI APIs (OpenAI, Azure OpenAI, Cohere, etc.).
  • Work with frameworks like LangChain, LlamaIndex, and RAG pipelines.
  • Implement vector databases like Pinecone, Weaviate, FAISS for knowledge retrieval.
  • Collaborate with cross-functional teams for system integration and deployment.
  • Ensure best practices in coding, testing, DevOps, and cloud deployment.

Required Skills:

  • Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
  • Hands-on experience with Prompt Engineering for Large Language Models (LLMs) like GPT, Claude, LLaMA, etc.
  • Knowledge of RAG (Retrieval-Augmented Generation), LangChain, or LlamaIndex
  • Familiarity with OpenAI, Azure OpenAI, or similar AI APIs
  • Backend development using FastAPI, Flask, or Express
  • Frontend development using React or Vue.js
  • Experience with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP)

Preferred Skills:

  • Experience with LangChain, LlamaIndex, or similar frameworks
  • Familiarity with tools like Hugging Face, OpenAI Playground, Azure OpenAI Studio
  • Knowledge of MLOps tools and data pipelines
  • Understanding of prompt tuning and fine-tuning LLMs

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