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Senior Full Stack Engineer - AI Platform & Agent Orchestration

Anblicks

Hybrid in Dallas, Texas • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

AI
LLM APIs
REST APIs
python
Microservices
LangGraph
LangChain
CrewAI
Full stack

Summary

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.

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: 10126072
Position Id: 9062586
Posted 1 day ago

Fitment

Dice Job Match Score™

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Mujtaba Mohammed

Recruiter @ Anblicks

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Job Details

Skills

AI
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REST APIs
python
Microservices
LangGraph
LangChain
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Full stack

Summary

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

Location: Dallas, TX

Role Summary

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.

Dice Id: 10126072
Position Id: 9062586
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Mujtaba Mohammed

Recruiter @ Anblicks

View Profile

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Never miss an opportunity! Create an alert based on the job you applied for.

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