Full-Stack AI Engineer

We are looking for a highly skilled Full-Stack AI Engineer who can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise in RAG (Retrieval-Augmented Generation) systems, vector databases , and end-to-end ML pipelines . You will be working on scalable, production-grade AI solutions leveraging state-of-the-art frameworks and cloud-native technologies.

Key Responsibilities

Design and implement RAG-based AI applications with optimized semantic search.

Build and manage vector database solutions (Pinecone, Weaviate, Qdrant, FAISS).

Develop and maintain production-ready ML systems ensuring performance and scalability.

Apply prompt engineering techniques to fine-tune model interactions.

Handle document chunking, embedding generation, and retrieval optimization .

Integrate LangChain / LlamaIndex frameworks for orchestration.

Implement caching strategies (Redis or similar) for efficiency.

Collaborate with cross-functional teams to deliver end-to-end AI solutions.

Core Skills

Strong experience in RAG implementation .

Expertise in vector databases (Pinecone, Weaviate, Qdrant, FAISS).

Proficiency in semantic search optimization .

Hands-on knowledge of production ML system deployment .

Technical Requirements

Proficient in LangChain, LlamaIndex .

Experience with OpenAI APIs, Hugging Face, Sentence Transformers .

Strong programming skills in Python, NumPy , and ML libraries.

Familiarity with prompt engineering best practices.

Knowledge of document chunking techniques for retrieval systems.

Experience with Redis or other caching mechanisms .

Preferred Qualifications

3–6 years of experience in AI / ML engineering or full-stack development .

Strong problem-solving and optimization skills.

Experience working in fast-paced startup or product environments .

Knowledge of cloud deployment (AWS, GCP, or Azure) is a plus.

Why Join Us?

Work with cutting-edge Generative AI and Retrieval systems .

Opportunity to contribute to high-impact AI products in production.

Collaborative, growth-oriented, and innovative work culture.