Senior Full Stack Engineer - AI Platform & Agent Orchestration

Anblicks; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Anblicks in Dallas, TX seeks a Senior Full Stack Engineer to build AI-enabled SDLC platform capabilities, backend services, UIs, and agent orchestration flows for autonomous software delivery with human checkpoints.

The role emphasizes Python API development, frontend work, and integration with Jira, Azure DevOps, GitHub, and internal data sources, with CI/CD and testing baked in.

Qualifications

• 10+ years of full stack engineering delivering enterprise apps
• 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
• Experience with Agile delivery, code reviews, automated testing, CI/CD, and collaborative engineering practices

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

Skills

Years of experience

Analytical thinking

Python API development

Frontend UI development

AI agent orchestration

Agile delivery

Tools

AWS

Docker

CI/CD

GitHub

GitHub Actions

Azure DevOps

Job description

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

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

• 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.