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Python Developer + AI ( W2 Requirement)

NGTalentTech Group LLCPlano, TX🇺🇸United StatesPosted Oct 5, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Plano, TX, United States
Posted
Yesterday
DockerFastAPIMongoDBNext.jsMachine LearningAzureDatabricksGoogle CloudHugging FaceJavaScriptKubernetesLLMPostgreSQLPythonRESTReact

Job Description

Job Title: Python Developer + AI Engineer    ( W2 Requirement)

Location: Plano, TX or Alpharetta, GA (2 days onsite per week)

Duration: 12 months ; likely extensions

Work Authorization: Any

Interview: 1-2 rounds; Offer

Notes:

**EG exclusive req**

MUST ATTEND AN IN-PERSON INTERVIEW IN PLANO, TX

Must Have Main Skills:
Python Development
Develop Rest API’s using Fast API
Integrate AI Agents
Agentic workflows with Langchain/Langgraph
Model Deployment
Application Deployment (Docker/Kubernetes)
LLM Pipeline (RAG)
Cloud experience (preferably Azure)

Nice to Have:
Databricks
Big Data (Spark)

Job Description:

Our client is looking for AI/ML Engineers to support critical projects in their CDO.

Required Skills

• Python & AI/ML Frameworks: Demonstrated expertise in Python and at least one major AI/ML framework.

• API Development: Hands-on experience developing RESTful APIs using FastAPI, with a solid understanding of web API architecture principles.

• Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).

• Big Data & Distributed Computing: Experience working with big data processing frameworks such as Spark and Delta Lake for scalable data processing.

• Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.

• AI Agent Integration: Proven expertise in integrating and orchestrating AI agents, large language models (LLMs), or multi-agent systems.

• LLM Pipeline Experience: Direct experience designing, building, and optimizing LLM pipelines, including data ingestion, pre-processing, prompt engineering, fine-tuning, and deployment.

• AI Workflow Tools: Experience working with AI agent workflow tools such as LangChain and LangGraph.

• LLM APIs: Experience working with LLM APIs such as OpenAI, Azure OpenAI, or Hugging Face.

• Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure

• Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.

• Web Application Integration: Proven experience with the integration of AI models and web applications via Python

• Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills.

Preferred/Nice to Have Skills

• Model Context Protocol (MCP): Experience with MCP for coordinating and managing AI models and agent workflows.

• Containerization & Cloud Infrastructure: Experience with containerization (Docker), CI/CD pipelines, and cloud infrastructure (Google Cloud Platform, Azure).

• Full-Stack Development: Full-stack development experience is a bonus

• Familiarity with front-end technologies such as JavaScript, React, or Next.js.

• Specific Industry/Domain Knowledge: Specific industry/domain knowledge relevant to telecommunications will be preferable.

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