Sr. AI/ML Engineer (Generative AI, LLM & Vector Search) :: OH or CA or LA(onsite)

HI Hope you are doing well! I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details ajeet@realtekconsulting.net AI/ML Engineer (Generative AI, LLM & Vector Search) Location :: OH or CA or LA(onsite) :: Local Only Skills Required Strong expertise in Python Year Of Experience :: 10 + Job Summary We are seeking a highly skilled AI/ML Engineer with strong expertise in Python, Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience designing and deploying scalable, production-grade AI solutions involving model training, prompt engineering, document intelligence, embeddings, vector databases, and semantic search systems. This role requires deep expertise in enterprise AI application development, fine-tuning LLMs, handling structured and unstructured data, and building production-ready GenAI solutions. Key Responsibilities • Design, develop, and deploy scalable AI/ML and Generative AI applications • Build and optimize LLM-based enterprise solutions • Perform: • Model training • Evaluation • Fine-tuning • Model optimization • Develop and manage: • Tagging and labeling workflows • AI training pipelines • Data preparation processes • Implement advanced prompt engineering techniques for LLM-powered applications • Design document intelligence pipelines including: • Document extraction • Parsing • Chunking • Semantic indexing • Handle both: • Structured data • Unstructured data • Build embedding generation and semantic retrieval pipelines • Integrate and manage: • Vector databases • MongoDB • Vector search frameworks • Develop scalable, production-ready ML/GenAI systems with high reliability and performance • Collaborate with engineering, DevOps, product, and business teams for enterprise AI delivery • Ensure AI solutions align with security, governance, and operational standards Required Skills & Experience Core AI/ML Skills • Expert-level proficiency in Python • Strong hands-on experience in: • Machine Learning • Model Training • Model Evaluation • Fine-tuning • Experience building and managing: • Tagging workflows • Data labeling pipelines Generative AI & LLMs • Strong understanding of: • Generative AI • Large Language Models (LLMs) • Hands-on experience with: • Prompt engineering • LLM-based applications • AI workflow orchestration Document Processing • Experience in: • Document extraction • Parsing • Chunking strategies • Text preprocessing • Ability to work with: • Structured datasets • Unstructured enterprise documents Embeddings & Vector Search • Experience with: • Embedding generation • Semantic search systems • Vector similarity search • Hands-on expertise integrating: • Vector databases • Retrieval systems Databases • Experience with: • Vector Databases • MongoDB Production ML Engineering • Experience building: • Scalable ML systems • Production-grade GenAI solutions • Enterprise AI applications • Strong understanding of: • Performance optimization • Reliability • Scalability • Monitoring Preferred Qualifications • Experience with: • LangChain • LlamaIndex • RAG architectures • Open-source LLM frameworks • Familiarity with: • AWS / Azure / GCP AI services • MLOps and CI/CD pipelines • GPU-based model training • Experience deploying AI solutions in enterprise environments Key Competencies • Python Development • Machine Learning Engineering • Generative AI & LLMs • Prompt Engineering • Document Intelligence • Embeddings & Vector Search • Vector Database Integration • Production ML Engineering • Scalable AI Architecture • •