AI/ML Engineer (Agentic AI & GenAI)

Dallas, TX, US • Posted 20 hours ago • Updated 2 hours ago
Contract W2
On-site
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Fitment

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Job Details

Skills

  • Python
  • Workflow
  • Translate
  • Application Development
  • Governance
  • API
  • Database Modeling
  • ETL
  • Best Practices
  • Performance Tuning
  • Microsoft Azure
  • Artificial Intelligence
  • REST
  • Kubernetes
  • Frameworks
  • Data Modeling
  • Data Governance
  • Data Integration
  • Data Sources
  • Unstructured Data
  • Data Science
  • MCP
  • Semantic

Summary

Role:AI/ML Engineer (Agentic AI & GenAI)
Location: Dallas, TX (Hybrid/Onsite Preferred)
Duration: Long-Term Contract
Employment Type: W2 Only
Position: AI/ML Engineer
Job Description
We are seeking a highly skilled AI/ML Engineer with expertise in building Agentic AI systems, LLM-powered applications, and modern data platforms. The ideal candidate will be responsible for designing, developing, and deploying scalable AI solutions using LangGraph, MCP (Model Context Protocol), Python, FastAPI, Azure, Databricks, and Snowflake.
The candidate should possess strong experience in AI orchestration frameworks, tool-calling architectures, agent workflows, and enterprise-scale data engineering environments.
Key Responsibilities
  • Design and develop Agentic AI applications using LangGraph and LLM orchestration frameworks.
  • Build and manage multi-agent workflows, tool calling, memory management, and reasoning pipelines.
  • Develop scalable APIs and AI services using Python and FastAPI.
  • Implement MCP (Model Context Protocol) integrations to enable agent interoperability and external tool communication.
  • Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data sources.
  • Integrate AI applications with enterprise platforms including Snowflake and Databricks.
  • Design and optimize orchestration workflows for AI agents and business processes.
  • Deploy and manage AI solutions on Microsoft Azure.
  • Collaborate with business stakeholders to translate requirements into AI-driven solutions.
  • Ensure AI applications comply with enterprise security, governance, and scalability standards.
  • Perform performance tuning, prompt optimization, and model evaluation.
  • Create reusable frameworks and best practices for AI application development.
Required Skills
AI & Agentic Frameworks
  • LangGraph
  • Agentic AI Systems
  • Tool Calling
  • Multi-Agent Architecture
  • MCP (Model Context Protocol)
  • RAG Architecture
  • Prompt Engineering
  • LLM Orchestration
Programming & APIs
  • Python
  • FastAPI
  • REST APIs
  • Async Programming
Cloud & Data Platforms
  • Microsoft Azure
  • Azure OpenAI
  • Azure AI Services
  • Databricks
  • Snowflake
Data Engineering
  • ETL/ELT Pipelines
  • Data Modeling
  • Data Integration
  • Structured and Unstructured Data Processing
Orchestration & Automation
  • Workflow Orchestration
  • Agent Coordination
  • Event-Driven Architectures
  • API Integrations
Preferred Qualifications
  • Experience with OpenAI, Azure OpenAI, Anthropic, or Gemini models.
  • Experience building enterprise GenAI platforms.
  • Knowledge of vector databases and semantic search.
  • Experience with MLflow, MLOps, and model lifecycle management.
  • Experience with Kubernetes and containerized deployments.
  • Strong understanding of data governance, security, and compliance.
Education
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Preferred Candidate Profile
  • 8+ years of software/data engineering experience.
  • 3+ years of AI/ML or Generative AI development experience.
  • Hands-on experience building production-grade Agentic AI solutions.
  • Strong expertise in Python, Azure, Databricks, Snowflake, and modern AI orchestration frameworks.
  • Excellent communication and stakeholder management skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10515154
  • Position Id: 2026-7515/45900
  • Posted 20 hours ago

Company Info

About Aroha Technologies

Michael Arrington, founder and co-editor of Tech Crunch once famously said that ‘The best startups generally come from somebody needing to scratch an itch’.

 Quite true to the thought, Aroha Technologies Inc was launched in 2008 in Florida. While we began our journey with a powerful Staffing Specialist & Software Development, Today our procedure has amplified into a more robust and simplified solution for Marketers looking for consistent and long term.

In our quest to do better, we resolve to simplify user acquisition, retention, engagement and large Business without blinking an eyelid! A semi-remote team spread across the globe, we are here to help you one step at a time.

Unmatchable growing excellence When AROHA was formed, we interviewed many potential clients and business colleagues and asked what a single important question seemed: “If you could design a firm to meet your needs, what would it look like?” The answers to that question have guided our thinking and planning on an ongoing basis, and form the core of our thinking about how we treat our clients and our employees, whom we call associates.

At a most basic level, we have stated our mission in a promise to our clients and our associates: “Unmatchable growing excellence.” This alignment governs superior service to our customers and supports our associates who perform that work, which cannot be matched by our competitors.

In short, we believe that care of our associates, disciplined financial management, and constant attention to the fundamentals of good delivery adds up to a successful, scalable business.

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