AI Full Stack Developer

Lorven Technologies Inc
Minneapolis, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Minneapolis, United States of America

Tech stack

Java
JavaScript
.NET
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
JIRA
Authentication Protocols
Azure
Business Software
C Sharp (Programming Language)
Cloud Computing
Cloud Engineering
Collaborative Software
Computer Programming
Databases
Python
Machine Learning
Microsoft Dynamics
Natural Language Processing
NoSQL
Oracle Applications
Software Architecture
Rapid Prototyping Process
Cloud Services
Salesforce
Software Engineering
SQL Databases
Systems Integration
TypeScript
Unstructured Data
Workflow Management Systems
Enterprise Data Management
Google Cloud Platform
Enterprise Software Applications
Large Language Models
Prompt Engineering
Deep Learning
SOAPAPI
Generative AI
AI Platforms
Information Technology
Deployment Automation
Machine Learning Operations
ServiceNow
Microservices

Job description

  • Partner directly with business stakeholders and engineering teams to identify high-value business opportunities and deliver AI-driven automation and digital transformation initiatives.
  • Design, develop, and deploy production-grade AI solutions using LLMs, RAG, AI Agents, Prompt Engineering, and enterprise AI technologies to solve complex business problems.
  • Lead end-to-end solution delivery from business discovery, solution design, rapid prototyping, MVP development, validation, deployment, and production support.
  • Build scalable integrations with enterprise applications, cloud platforms, databases, APIs, workflow tools, collaboration platforms, and third-party systems.
  • Develop reusable AI components, accelerators, implementation frameworks, and solution playbooks to improve delivery efficiency and scalability.
  • Collaborate with cross-functional teams including Product Management, Engineering, Data Science, Business Operations, Cloud, Security, and Enterprise Architecture to ensure successful solution delivery.
  • Drive rapid proof-of-concepts (POCs), pilots, and innovation initiatives that demonstrate measurable business value and accelerate AI adoption.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related field, with 3-5+ / 8-10 / 20+ years of experience in software engineering, AI solution development, product engineering, implementation, consulting, or customer-facing technology roles.
  • Strong hands-on programming experience in Python, JavaScript/TypeScript, Java, .NET/C#, or Go, with demonstrated experience building and deploying production-grade applications.
  • Proven experience designing, developing, and implementing Generative AI (GenAI) solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, AI Workflow Automation, and Model Integration.
  • Experience building AI-powered applications by integrating enterprise systems, REST/SOAP APIs, databases, cloud services, authentication mechanisms, and third-party platforms.
  • Strong understanding of software architecture, APIs, microservices, cloud-native application development, CI/CD pipelines, containers, and deployment methodologies.
  • Hands-on experience working with structured and unstructured data, databases (SQL/NoSQL), vector databases, and enterprise data integration.
  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (Google Cloud Platform), including deployment and cloud-native AI services.
  • Experience developing rapid prototypes, proof-of-concepts (POCs), MVPs, and production-ready AI solutions in Agile environments.
  • Familiarity with enterprise platforms such as Salesforce, ServiceNow, Oracle, Microsoft Dynamics, Jira, Rally, or similar business applications is highly preferred.
  • Knowledge of Machine Learning, NLP, Deep Learning, MLOps, AI governance, and responsible AI practices is a plus.
  • Excellent communication, stakeholder management, consulting, problem-solving, and customer-facing skills with the ability to work effectively in ambiguous and fast-paced environments.

Apply for this position