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Python Full Stack Engineer

  • Job type Posted on: Jun 02, 2026
  • Experience level Lorven technologies
  • Employment type Dallas, Texas
  • Employment type Onsite
  • Salary CTC

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Job Title :

Python Full Stack Engineer

Job Type :

CTC

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

HI

Our client is looking for a full-stack Python engineer in Dallas, TX. Below is the detailed requirement.

Job positing

Title: Python Full Stack Engineer
Location: Dallas, TX

Required Skills: Python, AWS, LLM, and AI

Job description:

  • Bachelor's degree in computer science, Information Technology, or a related field
  • Developed and maintained scalable Python-based microservices and REST/gRPC APIs for enterprise applications.
  • Designed and implemented AI-powered solutions using Large Language Models (LLMs), prompt engineering, and agentic AI frameworks.
  • Integrated OpenAI, LangChain, and LangGraph to build intelligent workflow automation and AI agent orchestration systems.
  • Built and deployed cloud-native applications on AWS/Azure using Docker and Kubernetes.
  • Developed backend services using FastAPI/Flask with emphasis on performance, scalability, and security.
  • Implemented CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps to automate application deployment.
  • Utilized Terraform/CloudFormation for Infrastructure as Code (IaC) and cloud resource provisioning.
  • Designed event-driven architectures using Kafka and asynchronous messaging patterns.
  • Integrated vector databases and retrieval systems to support RAG (Retrieval-Augmented Generation) applications.
  • Implemented observability and monitoring solutions using Datadog, Splunk, and OpenTelemetry.
  • Developed automated unit, integration, and end-to-end test frameworks to ensure platform reliability.
  • Optimized application performance using Redis caching, asynchronous Python programming, and distributed processing techniques.
  • Collaborated with ML Engineers and Solution Architects to integrate AI models into production environments.
  • Participated in production support, troubleshooting, incident management, and on-call rotations.
  • Followed Agile methodologies, conducting code reviews, sprint planning, and continuous improvement initiatives.

Jobcon Logo Position Details

Posted:

Jun 02, 2026

Reference Number:

69247-10367

Employment:

CTC

Salary:

Not Available

City:

Dallas

Job Origin:

CIEPAL_ORGANIC_FEED

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HI

Our client is looking for a full-stack Python engineer in Dallas, TX. Below is the detailed requirement.

Job positing

Title: Python Full Stack Engineer
Location: Dallas, TX

Required Skills: Python, AWS, LLM, and AI

Job description:

  • Bachelor's degree in computer science, Information Technology, or a related field
  • Developed and maintained scalable Python-based microservices and REST/gRPC APIs for enterprise applications.
  • Designed and implemented AI-powered solutions using Large Language Models (LLMs), prompt engineering, and agentic AI frameworks.
  • Integrated OpenAI, LangChain, and LangGraph to build intelligent workflow automation and AI agent orchestration systems.
  • Built and deployed cloud-native applications on AWS/Azure using Docker and Kubernetes.
  • Developed backend services using FastAPI/Flask with emphasis on performance, scalability, and security.
  • Implemented CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps to automate application deployment.
  • Utilized Terraform/CloudFormation for Infrastructure as Code (IaC) and cloud resource provisioning.
  • Designed event-driven architectures using Kafka and asynchronous messaging patterns.
  • Integrated vector databases and retrieval systems to support RAG (Retrieval-Augmented Generation) applications.
  • Implemented observability and monitoring solutions using Datadog, Splunk, and OpenTelemetry.
  • Developed automated unit, integration, and end-to-end test frameworks to ensure platform reliability.
  • Optimized application performance using Redis caching, asynchronous Python programming, and distributed processing techniques.
  • Collaborated with ML Engineers and Solution Architects to integrate AI models into production environments.
  • Participated in production support, troubleshooting, incident management, and on-call rotations.
  • Followed Agile methodologies, conducting code reviews, sprint planning, and continuous improvement initiatives.

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