Full Stack Ai Engineer With Prompt Engineering Exp,

3 weeks ago

Hyderabad, Telangana, India Pronix Inc Full time
Job Title: Full Stack AI Engineer – Prompt Engineering Location: Gachibowli, Hyderabad (On-site)Working Times: 2.00 PM to 11.00 PM ISTJob Description: We are looking for a skilled and passionate Full Stack AI Engineer with hands-on experience in Prompt Engineering and LLM-based application development.

You will work on building, deploying, and scaling Gen AI-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 LLa MA.

Write, optimize, and evaluate prompts for various use cases and tasks.

Proficiency in Python, Java Script (React/Node.js), or other full-stack technologies Build responsive frontend interfaces using React.js, Vue.js, or similar frameworks.

Integrate with AI APIs (Open AI, Azure Open AI, Cohere, etc.).

Work with frameworks like Lang Chain, Llama Index, 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, Dev Ops, and cloud deployment.

Required Skills: Proficiency in Python, Java Script (React/Node.js), or other full-stack technologies Experience with AI/ML frameworks (e.g., Tensor Flow, Py Torch, Hugging Face)Hands-on experience with Prompt Engineering for Large Language Models (LLMs) like GPT, Claude, LLa MA, etc.

Knowledge of RAG (Retrieval-Augmented Generation), Lang Chain, or Llama Index Familiarity with Open AI, Azure Open AI, or similar AI APIs Backend development using Fast API, 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 Lang Chain, Llama Index, or similar frameworks Familiarity with tools like Hugging Face, Open AI Playground, Azure Open AI Studio Knowledge of MLOps tools and data pipelines Understanding of prompt tuning and fine-tuning LLMs

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