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AI Engineer

Job in Minnetonka Mills, Hennepin County, Minnesota, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Minnetonka Mills

Role Description s:
Agentic AI Engineer Preface The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AI autonomous systems that execute tasks independently roles like AI Agent Engineer have emerged. In this client-facing consulting position| youll work in a hybrid environment| delivering cutting-edge AI agents that blend large language models| custom prompts| data sources| and business logic.

Projects can range from financial chatbots to manufacturing optimizers| requiring advanced prompt engineering| Retrieval-Augmented Generation (RAG)| and strong software skills.

What You Would Be Doing Develop AI Agents & Applications:
Code the core logic for AI agents| whether standalone or in multi-agent systems| enabling them to answer questions| generate content| or execute transactions.

Coding with LLMs and Tools:
Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g.| APIs| web search| databases).Prompt Engineering & Optimization:
Craft| refine| and test prompts to guide agent behavior| including fallback strategies for uncertainty.

Implement RAG for Knowledge:
Connect AI agents to vector databases or search indices to ground outputs in up-to-date| domain-specific information.

System Integration & APIs:
Integrate AI agents with external systems (e.g.| travel booking APIs| payment gateways)| handling formatting| RESTful calls| and data responses as needed.

Testing and Iteration:
Simulate agent behavior| identify and fix failure modes| and tune prompts and code for high-quality results.

Deploy AI Solutions:
Package and deploy agent applications (Docker| cloud)| ensuring scalability and proper configuration.

Collaboration & Agile Delivery:
Work with AI Architects| Data Engineers| and UX Developers in agile teams| contributing to sprints and client demos.

Industry-Specific Customization:
Tailor solutions for each industry| adapting compliance| personalization| and integration as needed.

Adhere to AI Ethics & Safety:
Implement guardrails| content moderation| and privacy measures| following TCSs responsible AI guidelines.
Essential

Skills:

Agentic AI Engineer Preface The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AI autonomous systems that execute tasks independently roles like AI Agent Engineer have emerged. In this client-facing consulting position| youll work in a hybrid environment| delivering cutting-edge AI agents that blend large language models| custom prompts| data sources| and business logic.

Projects can range from financial chatbots to manufacturing optimizers| requiring advanced prompt engineering| Retrieval-Augmented Generation (RAG)| and strong software skills.

What You Would Be Doing Develop AI Agents & Applications:
Code the core logic for AI agents| whether standalone or in multi-agent systems| enabling them to answer questions| generate content| or execute transactions.

Coding with LLMs and Tools:
Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g.| APIs| web search| databases).Prompt Engineering & Optimization:
Craft| refine| and test prompts to guide agent behavior| including fallback strategies for uncertainty.

Implement RAG for Knowledge:
Connect AI agents to vector databases or search indices to ground outputs in up-to-date| domain-specific information.

System Integration & APIs:
Integrate AI agents with external systems (e.g.| travel booking APIs| payment gateways)| handling formatting| RESTful calls| and data responses as needed.

Testing and Iteration:
Simulate agent behavior| identify and fix failure modes| and tune prompts and code for high-quality results.

Deploy AI Solutions:
Package and deploy agent applications (Docker| cloud)| ensuring scalability and proper configuration.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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