Lead Software Engineer – AI Tools

Jobtailor; Minnesota; On-site; USD 130,000 - 170,000; Full time

Job summary

Jobtailor is seeking a senior Enterprise AI Engineer to design, develop, and maintain AI agents and full‑stack applications. You will own production‑grade code, align with architectural standards, and drive reliability, security, and performance in complex systems.

You’ll work with React.js and TypeScript, REST APIs, and cutting‑edge GenAI tooling to deliver scalable AI capabilities, while embracing SDLC, CI/CD, and modern container orchestration.

Qualifications

• Bachelor’s degree or equivalent work experience.
• Six to eight years of relevant experience.
• 8+ years of development and architectural experience.
• Expert in Python programming with good understanding of other languages (Java, C#).
• Experience in developing full‑stack apps using React.js, TypeScript.
• Experience in building apps with REST API architecture including Auth Flows, Encryption, Observability.
• Experience in GenAI/Agentic AI apps using MCP, LangChain, LangGraph, Semantic Kernel, autogen, Azure AI Foundry.
• Developing solutions using RAG patterns and vector databases with Azure AI Services, FAISS, etc.
• Good at GitHub Copilot for accelerated development and Copilot Studio.
• Fundamental understanding of AI/ML models, prompt engineering.
• Knowledge of SDLC, CI/CD pipelines, container orchestration.

Responsibilities

• Design, develop, test, operate and maintain Enterprise AI Agents.
• Own full-stack development with production‑ready, testable code.
• Follow architectural best practices for scalable, reliable, and high‑performing systems.
• Analyze failures, propose design changes, and drive operational improvements.
• Incorporate feedback from code reviews to meet standards.
• Conduct code reviews to guide engineering practices and compliance.
• Ensure product development follows security and compliance best practices.
• Exploit emerging technologies to support technology transformation.
• Foster innovation, collaboration and continuous improvement.
• Prioritize tasks and communicate blockers to avoid escalations.
• Review tasks critically and size for incremental delivery.

Skills

Python programming

Full-stack development

React.js

TypeScript

REST API

Auth Flows

Azure AI

LangChain

LangGraph

Vector databases

CI/CD

GitHub Copilot

AI/ML basics

Container orchestration

Education

Bachelor’s degree or equivalent

Tools

GitHub Copilot Studio

REST API tooling

Job description

Responsibilities

• Responsible for designing, developing, testing, operating and maintaining Enterprise AI Agents
• Takes full stack ownership by consistently writing production‑ready and testable code
• Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
• Performs analysis on failures, proposes design changes, and encourages operational improvements
• Takes feedback from code review and applies changes to meet standards
• Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
• Accountable for ensuring all aspects of product development follow compliance and security best practices
• Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation
• Contributes to a culture of innovation, collaboration and continuous improvement
• Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation

Requirements

• Bachelor’s degree, or equivalent work experience
• Six to eight years of relevant experience
• 8+ years of development and architectural experience
• Expert in Python Programming with good understanding of other modern programming languages (Java, C#)
• Experience in developing full‑stack applications using React.js, Typescript
• Experience in building applications using Rest API architecture including Auth Flows, Encryption, Observability
• Experience in building and deploying GenAI, Agentic AI Applications using either MCP, LangChain, LangGraph, Semantic Kernel, autogen, Azure AI Foundry
• Developing solutions using RAG architecture patterns and vector databases utilizing Azure AI Services, FAISS etc.
• Good at GitHub Copilot for accelerated development and understanding on Copilot Studio
• Fundamental understanding of AI/ML models, prompt engineering
• Knowledge on SDLC processes, CI/CD Pipelines, container orchestration

Core Competencies

Demonstrates expertise in Python Programming and full‑stack application development, with a strong focus on compliance, security best practices, and architectural design principles. Proficient in building and deploying AI applications using modern technologies and frameworks, while fostering a culture of innovation and continuous improvement.