Lead Python (Full Stack) /AI Developer

Job Title: Lead Python (Full Stack) /AI Developer

Location: Phoenix, AZ – 3 days/week onsite

Position: Contract-W2/1099

Duration: Long Term - 24 - 36 months

Job Description:

Lead Software Engineer – Full Stack & Agentic AI

Position Summary

We are seeking a highly skilled and innovative Lead Software Engineer to drive the design, development, and delivery of next-generation intelligent applications powered by Agentic AI. This role combines deep expertise in full-stack software engineering with hands-on experience building AI-powered systems, autonomous agents, Retrieval-Augmented Generation (RAG) architectures, and enterprise-scale AI solutions.

As a technical leader, you will define architecture, establish engineering standards, mentor development teams, and guide the implementation of AI-driven solutions that deliver measurable business value. You will work across the entire software development lifecycle, from requirements analysis and architecture design through implementation, deployment, and production support.

The ideal candidate possesses strong software engineering fundamentals, extensive experience with modern web technologies, and a proven track record designing and implementing Agentic AI platforms, intelligent workflows, and AI-enabled business solutions.

Required Qualifications

Experience

8+ years of professional software engineering experience.

3+ years leading technical teams or serving as a lead engineer.

2+ years designing and implementing Generative AI or Agentic AI solutions in enterprise environments.

Demonstrated experience delivering large-scale enterprise applications from inception through production.

Technical Skills

Programming Languages

Advanced Python development

Advanced Java (Spring Boot)

Strong SQL development

Front-End Technologies

Advanced Angular

Advanced React

TypeScript

HTML5, CSS3, JavaScript

Databases

SQL Server

Oracle Database

Experience with database design, performance tuning, and optimization

AI & Machine Learning

Large Language Models (LLMs)

Agentic AI architecture and implementation

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Vector Databases (e.g., Pinecone, Weaviate, Chroma, Milvus, Azure AI Search)

Embedding models

Semantic search

AI evaluation frameworks

Multi-agent orchestration

Cloud & DevOps

Azure, AWS, or Google Cloud

Docker

Kubernetes

GitHub Actions / CI-CD pipelines

Infrastructure as Code

Architecture

Microservices architecture

Event-driven architecture

API design and integration

Distributed systems

Domain-driven design

Preferred Qualifications

Experience building enterprise AI platforms and AI governance frameworks.

Experience with Microsoft Copilot Studio, Azure AI Foundry, LangChain, LangGraph, or similar agent frameworks.

Experience designing knowledge graphs and semantic data models.

Experience implementing AI observability, evaluation, and monitoring solutions.

Experience with modernization and legacy transformation initiatives.

Experience with GitHub Copilot, AI-assisted software development, and automated code generation workflows.

Exposure to machine learning operations (MLOps) and AI Operations (AIOps).

If you're interested then please share your updated resume to [email protected] or feel free to reach me at 847-603-4032