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Dynatron Software, Inc. · 1 month ago

Agentic AI Data Engineer

United States

Full-time

Remote

Senior Level

$140K/yr - $180K/yr

5+ years exp

Dynatron Software, Inc. is transforming the automotive service industry with intelligent SaaS solutions. They are seeking an AI Data Engineer to build and operationalize agentic AI systems, design data pipelines, and enhance automation across the business.

AnalyticsBusiness IntelligenceInformation TechnologySoftware

Growth Opportunities

Responsibilities

Design and maintain scalable data pipelines and ingestion frameworks powering advanced AI and agent workflows using AWS Glue, Lambda, Step Functions, and Kinesis

Prepare and optimize structured and unstructured data for retrieval-augmented generation (RAG) and LLM-enabled use cases

Integrate vector databases such as Pinecone, Chroma, Amazon OpenSearch, or FAISS for semantic retrieval

Automate context curation, data transformations, and memory persistence to support dynamic prompt construction and autonomous agent behavior

Build and deploy autonomous AI agents using LangChain, LlamaIndex, or AWS Agents for Bedrock

Develop multi-agent workflows capable of reasoning, tool usage, and decision-making through secure function calling

Integrate AI agents with enterprise systems including Snowflake, Redshift, Databricks, Salesforce, JIRA, and ServiceNow

Create pipelines that enable agents to execute SQL, APIs, and document searches with full governance and security

Operationalize Bedrock-hosted models (Anthropic Claude, Amazon Titan, Llama 3, and others) into data engineering workflows

Build embedding pipelines and feature stores supporting intelligent retrieval and semantic search

Implement CI/CD for AI services using GitHub Actions, Airflow, or AWS CodePipeline

Monitor model accuracy, hallucination rates, and system reliability through automated evaluation

Apply data security, masking, and lineage controls to all AI-enabled pipelines and retrieval systems

Ensure Responsible AI practices, such as transparency, fairness, auditability, are embedded throughout the AI stack

Maintain metadata, logging, and observability for all AI and data engineering workflows

Qualification

AWS BedrockLangChainSnowflakePythonData EngineeringSQLMLOpsVector databasesETL orchestrationAPI integrationsData modelingCI/CD automationData securityTeam collaboration

Required

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

5+ years of data engineering experience, including 2+ years building AI-integrated data systems

Hands-on expertise with:

AWS Bedrock, SageMaker, and Lambda

LangChain or LlamaIndex

Snowflake, Redshift, or Databricks

Python, SQL, and API integrations

Vector databases (Pinecone, FAISS, Chroma)

Familiarity with RAG pipelines, LLM function calling, and prompt optimization techniques

Experience integrating enterprise data with LLMs from Anthropic, OpenAI, or Meta

Strong understanding of data modeling, ETL orchestration, and MLOps best practices

Preferred

Experience with multi-agent frameworks such as CrewAI, AutoGen, or Bedrock Agents

Knowledge of data observability tools like Monte Carlo, DataHub, or Marquez

Familiarity with Docker, Kubernetes, and CI/CD automation

Relevant industry or academic certifications, including:

AWS Certified Machine Learning – Specialty

Google Cloud Generative AI Engineer

MIT/Stanford AI & ML Certifications

DeepLearning.AI LLM Applications Certificate

Benefits

Competitive base salary

Participation in Dynatron’s Equity Incentive Plan

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