Full Stack AI Engineer
2 weeks ago
Position: Full Stack AI Engineer – Prompt Engineering
Location: Gachibowli, Hyderabad (On-site)
Employment Type: Full-Time
Experience: 2–5 Years
Working Times: 2.00 PM to 11.00 PM IST
Immediate Joiners Preferred
Job 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 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 ), or other full-stack technologies
- Build responsive frontend interfaces using , , 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 ), 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
- 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
Why Join Us?
- Work on cutting-edge AI and GenAI projects
- Dynamic and collaborative work culture
- Great learning and growth opportunities
- Competitive salary and benefits
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