Senior Full Stack Engineer

Anblicks; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Anblicks seeks a Senior Full Stack Engineer to advance an AI-enabled SDLC platform. You will develop backend services, UI components, and agent orchestration flows to support autonomous software delivery with human checkpoints.

Responsibilities include integrating AI services with enterprise systems, building scalable frontend UIs, and delivering pilot-ready features with CI/CD and testing. Collaboration with a Technical Lead and AI Engineer is essential.

Qualifications

• 10+ years of full stack engineering experience delivering enterprise applications.
• Hands-on Python engineering experience with API development and service integration.
• Experience building scalable frontend applications and reusable UI components.
• 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

Full stack engineering

Analytical problem solving

Python API development

Frontend development

Agile delivery

CI/CD

Team collaboration

Tools

FastAPI

REST APIs

AWS

Docker

GitHub Actions

Azure DevOps

Job description

Senior Full Stack Engineer - AI Platform & Agent Orchestration

Onsite USA | Dallas / Richardson, TX preferred Full stack development, AI workflow implementation, agent orchestration, integrations, and pilot delivery

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.