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Dynatron Software, Inc. · 1 month ago

Gen AI Data Engineer II

United States

Full-time

Remote

Mid, Senior Level

$110K/yr - $135K/yr

5+ years exp

Dynatron Software, Inc. is transforming the automotive service industry with intelligent SaaS solutions. They are seeking a hands-on GenAI Data Engineer to architect and scale AI systems, design data pipelines, and integrate enterprise data with leading LLMs.

AnalyticsBusiness IntelligenceInformation TechnologySoftware

Growth Opportunities

Responsibilities

Design and maintain data pipelines for training, fine-tuning, and retrieval-augmented generation (RAG) use cases

Build ingestion frameworks using AWS Glue, Lambda, Kinesis, and Step Functions to support large-scale AI workloads

Develop embedding pipelines, feature stores, and vector database integrations (Pinecone, FAISS, Chroma, Amazon OpenSearch) to power semantic retrieval

Transform unstructured data–documents, text, images, logs–into AI-ready assets for LLM applications

Build end-to-end GenAI pipelines connecting enterprise data with LLMs including Anthropic Claude, Amazon Titan, OpenAI GPT, and Llama 3

Use LangChain, LlamaIndex, and Bedrock Agents to deliver context-rich RAG, prompt-chaining, and conversational intelligence

Develop LLM-powered APIs enabling natural language querying, summarization, search, and generative workflows

Optimize prompts, context windows, model evaluation, and response quality

Deploy, monitor, and optimize LLM workflows on AWS Bedrock and other cloud AI platforms

Implement CI/CD pipelines for GenAI systems using Airflow, Prefect, GitHub Actions, or AWS CodePipeline

Establish data and model observability frameworks to track drift, accuracy, latency, and performance

Partner with Data Science and MLOps teams to streamline fine-tuning, deployment, and scalable model operations

Implement data lineage, access controls, encryption, and governance for AI datasets

Enforce Responsible AI practices, ensuring transparency, risk mitigation, and ethical use of LLMs

Maintain prompt logs, telemetry, and audit documentation supporting SOC2, GDPR, and CCPA compliance

Qualification

GenAI Data EngineeringAWS BedrockLLM IntegrationData Pipeline DevelopmentPythonSQLMLOps Best PracticesVector DatabasesTeam CollaborationProblem Solving

Required

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

5+ years of data engineering experience, including 2+ years developing GenAI or LLM-based solutions

Strong proficiency in: AWS Bedrock, SageMaker, or Vertex AI; LangChain or LlamaIndex; Snowflake, Redshift, or Databricks; Python, SQL, and API integrations; Vector databases (Pinecone, FAISS, Chroma, OpenSearch)

Proven experience building RAG pipelines, embeddings, and prompt-chaining architectures

Deep understanding of data modeling, orchestration, and MLOps best practices

Ability to integrate LLM capabilities into enterprise SaaS products and data platforms

Preferred

Experience with advanced GenAI frameworks such as AutoGen, CrewAI, or Semantic Kernel

Familiarity with data observability tools (Monte Carlo, DataHub, Marquez)

Experience with Docker, Kubernetes, and CI/CD deployment automation

Relevant certifications, such as: AWS Certified Machine Learning – Specialty; Google Cloud Generative AI Engineer; MIT or Stanford AI/ML Certificates; DeepLearning.AI Generative AI Specialization

Benefits

Comprehensive health, vision, and dental insurance

Employer-paid short- and long-term disability and life insurance

401(K) with competitive company match

Flexible vacation policy and 9 paid holidays

Remote-first culture

Company

Dynatron Software, Inc.

At Dynatron Software, we help automotive service departments increase revenue and profitability with our suite of automotive fixed operations data analytics software, comparative insights, and expert coaching.

Founded in 1997

Richardson, Texas, USA

201-500 employees