
Full-Stack AI Engineer
2 days ago
We are seeking a highly skilled Full-Stack AI Engineer to design, build, and deploy end-to-end AI solutions. The ideal candidate will have hands-on experience in Retrieval-Augmented Generation (RAG), semantic search, and deploying scalable machine learning systems into production. You will work closely with cross-functional teams to develop cutting-edge AI-powered applications leveraging modern frameworks, vector databases, and LLM-based technologies.
Key Responsibilities:
- Design, implement, and optimize RAG pipelines for AI-driven applications.
- Build and manage vector database solutions (e.g., Pinecone, Weaviate, Qdrant, FAISS).
- Develop semantic search and information retrieval systems.
- Implement production-grade ML systems, ensuring scalability, reliability, and performance.
- Collaborate with product and research teams to integrate LLM-based solutions.
- Apply prompt engineering techniques for improved LLM outputs.
- Optimize document chunking strategies for knowledge ingestion pipelines.
- Work on caching, performance tuning, and infrastructure optimization (e.g., Redis).
Core Skills:
- RAG implementation
- Vector database expertise
- Semantic search optimization
- Production ML systems deployment
Technical Requirements:
- Proficiency with LangChain / LlamaIndex frameworks
- Hands-on experience with vector DBs: Pinecone, Weaviate, Qdrant, FAISS
- Strong understanding of LLMs: OpenAI, Sentence Transformers
- Expertise in Python (with NumPy and supporting libraries)
- Knowledge of prompt engineering techniques
- Experience with document chunking strategies
- Familiarity with Redis/caching mechanisms
Preferred Qualifications:
- 3+ years of experience in AI/ML engineering
- Proven track record of deploying AI solutions in production environments
- Strong problem-solving skills and ability to work in fast-paced environments
- Experience collaborating with cross-functional teams (engineering, research, product)
Why Join Us?
- Opportunity to work on cutting-edge AI products with real-world impact
- Collaborative team culture focused on innovation and scalability
- Growth opportunities in a rapidly evolving AI ecosystem
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