Forward Deployed Engineer - AI/GenAI

Hi ,

Our client is looking for an AI Full Stack Developer for a project and below is the detailed requirement.

Job Title: AI Full Stack Developer

Location: Minneapolis, MN 

Qualifications & Experience:

• 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.

Key Responsibilities:

• 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.