AI Full Stack Developer

Lorven Technologies Inc

Minneapolis, MN, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Software Applications JIRA Authentication Protocols Microsoft Azure Business Software

+36 more

C Sharp (Programming Language) Cloud Computing Cloud Engineering Collaborative Software Computer Programming Databases Python (Programming Language) Machine Learning Microsoft Dynamics Natural Language Processing NoSQL Oracle (Applications) Software Architecture Rapid Prototyping Process Cloud Services Salesforce.Com Software Engineering SQL Databases Systems Integration TypeScript Unstructured Data Workflow Management Systems Enterprise Data Management Google Cloud 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.