Senior Data Engineer, AI/ML Engineer (Agentic)

TMS LLC
Edison, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 140K

Job location

Remote
Edison, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Big Data
Data Architecture
Information Engineering
ETL
Data Transformation
Data Warehousing
Relational Databases
Database Queries
Python
Salesforce
Systems Integration
Apex Code
Large Language Models
Snowflake
Multi-Agent Systems
Prompt Engineering
Event Driven Architecture
Deployment Automation
Data Pipelines
Mulesoft

Job description

  • Build agentic capabilities to improve operational efficiency in how third-party data is ingested and consumed by internal stakeholders
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Requirements

  • Strong experience in data engineering, ETL (preferably Informatica), and data architecture

  • Experience working with Salesforce platforms and data models

  • Hands-on experience with Airflow and MuleSoft

  • Strong SQL skills with Snowflake and other relational databases

  • Experience writing complex Python modules for custom ETL workflows

  • Expertise in building batch and real-time data pipelines

  • Experience with dbt for data transformation and modeling

  • Familiarity with AWS/GCP and distributed/event-driven architectures

  • Strong understanding of data modeling, data warehousing, and big data processing

  • Experience with data quality, monitoring, and pipeline orchestration frameworks

  • Strong Python experience for AI application development

  • Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and prompt engineering beyond basic demos

  • Experience with agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, or similar

  • Familiarity with vector databases (Pinecone, Chroma, Milvus) and RAG pipelines

  • Systems thinking: ability to decompose complex goals into sub-tasks and manage agentic behavior

Preferred Skills

  • Experience with 3+ step workflow automation (e.g., autonomous research, DevOps automation, IT troubleshooting)
  • Proficiency in Model Context Protocol (MCP) integrations
  • Experience with multi-agent systems and multi-modal agents (processing images, documents)
  • Experience working on Salesforce Flows and Apex

About the company

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