1

Sr Full Stack Net Developer Jobs in Dallas, TX (NOW HIRING)

Senior Full Stack .NET Developer**Location:** Plano, Texas (Onsite)**Employment Type:** Contract**Contract Duration:** 12 MonthsRole OverviewWe are looking for an experienced .NET Developer to join a ...

Title: Senior Full Stack Engineer Location: Dallas, TX About the Role Senior engineer owning the customer-facing experience of a metrics and reporting platform -- a React application, module ...

Senior Full Stack Engineer

Westlake, TX ยท On-site

$60 - $75/hr

Hybrid Every other week onsite/5 days in Westlake, TX We are seeking a Senior Full Stack Engineer to help build next-generation digital platforms that empower customers to achieve their philanthropic ...

Senior Full Stack Software Engineer

Plano, TX ยท On-site

$123K - $161K/yr

THE IMPACT YOU WILL MAKE This Senior Full Stack Software Engineer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the ...

Showing results 41-60

Sr Full Stack Net Developer information

See Dallas, TX salary details

$10

$55

$75

How much do sr full stack net developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for sr full stack net developer in Dallas, TX is $55.61, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $61.83 per hour, depending on experience, location, and employer.

What cities near Dallas, TX are hiring for Sr Full Stack Net Developer jobs?

Cities near Dallas, TX with the most Sr Full Stack Net Developer job openings:

Senior Full Stack Engineer - AI Platform & Agent Orchestration

Dallas, TX โ€ข On-site

Anblicks
IT Servicesย โ€ขย 501 - 1,000 employees

Other

Posted 20 days ago


Job description

Job Title: Senior Full Stack Engineer - AI Platform & Agent Orchestration

Location: Dallas, TX


Role Summary

We are seeking a Senior Full Stack Engineer with strong analytical and problem-solving skills to build AI-enabled SDLC platform capabilities. The engineer will develop backend services, user interfaces, agent orchestration flows, skills, integrations, automation pipelines, and pilot-ready features that support autonomous software delivery with human checkpoints.

Key Responsibilities

  • Design and develop cloud-native services, APIs, workflow interfaces, dashboards, and agent management capabilities.
  • Build and enhance AI skills, tools, agents, and orchestration flows for planning, design, coding, review, testing, and release of workflows.
  • Integrate LLM services with enterprise systems, repositories, CI/CD pipelines, Jira, Azure DevOps, GitHub, and internal knowledge sources.
  • Implement memory, retrieval, artifact management, audit trail, and workflow state capabilities in collaboration with the Technical Lead and AI Engineer.
  • Write clean, secure, testable, and maintainable code with automated testing and CI/CD practices.
  • Troubleshoot agent execution issues, API failures, integration defects, performance bottlenecks, and quality concerns.
  • Support pilot implementation, end-to-end scenario validation, demo preparation, telemetry capture, and backlog refinement.

Required Qualifications

  • 10+ years of full stack engineering experience delivering enterprise applications.
  • Strong analytical, debugging, and problem-solving mindset.
  • Hands-on Python engineering experience with API development and service integration.
  • Experience building scalable frontend applications and reusable UI components.
  • Working knowledge of AI agent orchestration, LLM APIs, tool calling, RAG concepts, prompt engineering, and workflow automation.
  • Experience with Agile delivery, code reviews, automated testing, CI/CD, and collaborative engineering practices.

Technical Skills

  • Backend: Python, FastAPI, REST APIs, microservices, event-driven integrations
  • Frontend: React.js, TypeScript, Next.js, modern UI frameworks, dashboards
  • Cloud/Ops: AWS, Docker, CI/CD, GitHub, GitHub Actions, Azure DevOps, logging, monitoring and deployment automation.

Preferred Qualifications

  • Experience with LangGraph, LangChain, CrewAI, or comparable workflow orchestration tools.
  • Experience with vector databases, embeddings, context retrieval, and memory-backed AI applications.
  • Exposure to AI-enabled developer productivity platforms, code assistants, and agentic SDLC patterns.

Ability to independently convert business and platform requirements into working features and integrations.