Generative AI Engineer – Agentic Systems (Hybrid, MN)

Horizontal Talent; Brooklyn Park (MN); Hybrid; USD 95,000 - 147,000; Full time

Job summary

Horizontal Talent in Brooklyn Park, MN is hiring for a hybrid role focused on building the next generation of Generative AI and agentic solutions for enterprise use cases. You will design, develop, evaluate, and deploy end-to-end AI applications, including RAG, multi-agent workflows, and tool integration, collaborating across product, engineering, security, and data teams.

The position offers hands-on development, strong observability, and a pathway to scale AI experiences in enterprise

Qualifications

• 5 to 6 years in software engineering, machine learning, AI, data science, or a related technical field.
• At least 2 years of hands-on experience building end-to-end Generative AI applications in production or business environments.
• Strong knowledge of Generative AI, LLMs, RAG, conversational AI, prompt engineering, and LLM evaluation methods.

Responsibilities

• Design, build, and support end-to-end Generative AI applications from early experimentation through production deployment and ongoing improvement.
• Develop RAG and conversational AI solutions using LLMs, embeddings, vector databases, retrieval strategies, and response optimization techniques.
• Create effective prompt strategies, including structured prompting, few-shot approaches, tool usage, and reusable prompt workflows.
• Build and apply evaluation frameworks to assess quality, relevance, groundedness, hallucination risk, safety, latency, cost, and overall system performance.
• Develop autonomous and multi-agent workflows that can reason, plan, use tools, and support complex business processes.
• Help evolve agentic solutions into enterprise-ready platforms with strong orchestration, observability, governance, and lifecycle management.
• Build Python-based services, APIs, integrations, and supporting infrastructure for AI solutions.
• Collaborate with product, engineering, architecture, security, data, and business partners to translate requirements into practical AI capabilities.
• Apply software engineering best practices such as code reviews, automated testing, Git-based development, CI/CD, and Agile delivery.
• Monitor production AI systems and contribute to improvements in quality, reliability, scalability, latency, and cost efficiency.

Skills

Python

GenAI

LLMs

RAG

Prompt engineering

Software fundamentals

Git

CI/CD

Agile

Collaboration

Tools

Vector databases

Embeddings

Orchestration tools

APIs

Job description

Horizontal Talent in Brooklyn Park, MN is hiring for a hybrid role focused on building the next generation of Generative AI and agentic solutions for enterprise use cases. You will design, develop, evaluate, and deploy end-to-end AI applications, including RAG, multi-agent workflows, and tool integration, collaborating across product, engineering, security, and data teams.

The position offers hands-on development, strong observability, and a pathway to scale AI experiences in enterprise