AI/ML Engineer

Job Title: Full Stack AI/ML Engineer Duration: 12+ Months with possible extension Location: Fort Mills, SC - Hybrid Core focus: React + Python + AI/ML + LLM/RAG + APIs + Cloud + Production Engineering Job Description: We're looking for an I/ML Engineer with strong machine learning and software engineering experience to develop and deploy AI-powered capabilities in enterprise applications . The role involves working across the full AI development lifecycle , from experimentation and model evaluation through to production deployment. What you'll do Design, develop, and deploy I-powered features for enterprise applications. Build and enhance I/LLM workflows , including gentic workflows . Develop Retrieval-Augmented Generation (RAG) pipelines and improve the accuracy, grounding, and reliability of I-generated responses. Design and implement evaluation frameworks, benchmarks, and automated testing to measure model quality and support continuous improvement. Develop, integrate, and deploy machine learning models and large language model solutions in production environments. Build and maintain back-end services using Python and contribute to front-end development using React where required. Develop scalable PIs and services that integrate AI capabilities into enterprise applications. Optimize I systems for performance, latency, scalability, reliability, and cost efficiency. pply responsible I principles , ensuring solutions are explainable, traceable, and aligned with enterprise governance and data standards. Participate in architecture discussions, code reviews, and technical mentoring to promote engineering best practices. Evaluate emerging I technologies and recommend improvements that provide measurable value. What we're looking for Extensive experience delivering enterprise software solutions, with hands-on experience developing AI or machine learning applications. Strong understanding of machine learning concepts, model development, evaluation, and deployment. Experience working with Large Language Models (LLMs), prompt engineering and Retrieval-Augmented Generation (RAG) based applications Strong Python development experience , including expertise with PIs Experience building production-grade PIs and distributed systems . Experience with React or other modern front-end frameworks is an advantage. Familiarity with cloud platforms such as WS, Azure, or GCP, and deploying AI workloads in production. Knowledge of MLOps practices, CI/CD pipelines , model monitoring, evaluation, and observability. Experience working with SQL and large-scale data processing . Strong analytical and problem-solving skills with the ability to translate business requirements into robust AI solutions. Excellent communication and collaboration skills, with experience working in Agile, cross-functional teams. Javen Technologies