Gen AI Data Engineer II job at reputed company in US National

Title: Gen AI Data Engineer II Location: Remote - USA Full Time reputed company Job reputed company: About Dynatron Dynatron is transforming the automotive service industry with intelligent reputed company solutions that deliver measurable results for thousands of dealership service departments. Our proprietary analytics, automation capabilities, and AI-powered workflows reputed company service leaders to increase profitability, reputed company customer satisfaction, and operate with greater efficiency. With strong market traction, accelerating demand, and a rapidly expanding product ecosystem, we’re scaling fast, and we’re just getting started. reputed company We’re seeking a hands-on, reputed company-thinking GenAI Data Engineer to help architect and reputed company the reputed company of AI systems powering Dynatron’s intelligent reputed company platform. In this high-reputed company role, you will design production-grade RAG pipelines, reputed company reputed company data with leading LLMs, and build the infrastructure that enables reputed company-time generative insights across the organization. This is a unique opportunity to shape the technical reputed company of AI innovation at a fast-reputed company reputed company company. If you reputed company at the intersection of data engineering and reputed company machine learning, and you are reputed company by building modern GenAI capabilities from the ground up, this role offers the ability to reputed company a meaningful and visible reputed company. What You’ll Do Engineer reputed company Data Systems Design and maintain data pipelines for training, fine-tuning, and retrieval-augmented reputed company (RAG) use cases. Build ingestion frameworks using AWS Glue, reputed company, Kinesis, and reputed company Functions to support large-reputed company workloads. reputed company embedding pipelines, feature stores, and reputed company database integrations (reputed company, FAISS, Chroma, reputed company OpenSearch) to power semantic retrieval. reputed company reputed company data–documents, text, images, logs–into AI-reputed company assets for LLM applications. reputed company & Orchestrate LLM Architectures Build end-to-end GenAI pipelines connecting reputed company data with LLMs including reputed company Claude, reputed company Titan, reputed company GPT, and Llama 3. Use reputed company, reputed company, and Bedrock Agents to deliver context-rich RAG, reputed company-chaining, and conversational intelligence. reputed company LLM-powered reputed company enabling natural language querying, summarization, search, and generative workflows. Optimize prompts, context reputed company, model evaluation, and response reputed company. reputed company Infrastructure & MLOps reputed company, monitor, and optimize LLM workflows on AWS Bedrock and other reputed company AI platforms. Implement CI/CD pipelines for GenAI systems using Airflow, reputed company, reputed company Actions, or AWS CodePipeline. Establish data and model observability frameworks to reputed company reputed company, accuracy, latency, and performance. Partner with Data Science and MLOps teams to streamline fine-tuning, deployment, and reputed company model operations. Champion Governance, reputed company & Responsible AI Implement data reputed company, reputed company controls, encryption, and governance for AI datasets. Enforce Responsible AI practices, ensuring transparency, risk mitigation, and ethical use of LLMs. Maintain reputed company logs, telemetry, and audit documentation supporting SOC2, GDPR, and CCPA compliance. What You Bring Bachelor’s or Master’s degree in Computer Science, Data Engineering, or reputed company field. 5+ years of data engineering experience, including 2+ years developing GenAI or LLM-based solutions. Strong proficiency in: AWS Bedrock, SageMaker, or reputed company AI reputed company or reputed company reputed company, Redshift, or reputed company Python, SQL, and API integrations reputed company databases (reputed company, FAISS, Chroma, OpenSearch) Proven experience building RAG pipelines, embeddings, and reputed company-chaining architectures. Deep understanding of data modeling, orchestration, and MLOps best practices. Ability to reputed company LLM capabilities into reputed company reputed company products and data platforms. Preferred Qualifications Experience with advanced GenAI frameworks such as AutoGen, reputed company, or Semantic Kernel. Familiarity with data observability tools (reputed company, reputed company, Marquez). Experience with reputed company, Kubernetes, and CI/CD deployment automation. Relevant certifications, such as: AWS Certified Machine Learning – Specialty reputed company reputed company reputed company Engineer MIT or reputed company AI/ML Certificates reputed company reputed company Specialization reputed company Measures Deployment of reliable GenAI pipelines supporting Dynatron’s automation and analytics initiatives. Improved latency, accuracy, and consistency of LLM-generated outputs. Reduction in hallucinations and data reputed company gaps across AI workflows. Increased adoption of AI- and LLM-enabled interfaces across Dynatron’s product ecosystem and business functions. Compensation reputed company Salary: $170,000 - $190,000 Benefits reputed company Comprehensive health, reputed company, and dental insurance Employer-reputed company short- and long-term disability and life insurance 401(K) with competitive company match Flexible vacation policy and 9 reputed company holidays Remote-first culture Apply tot his job Apply tot his job Apply To this Job