Engineer

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

Join a high-impact team building the next generation of Generative AI and agentic solutions for enterprise use cases. This hybrid role is based in Brooklyn Park, MN and offers the opportunity to shape scalable AI experiences through hands-on development, evaluation, and deployment work.

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

• 5 to 6 years of overall experience 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.
• Advanced Python skills and strong software engineering fundamentals.
• Experience with common ML and GenAI libraries, frameworks, APIs, embedding models, vector databases, and orchestration tools.
• Experience designing agentic or multi-agent systems, including workflows, memory, tool use, guardrails, and evaluation.
• Understanding of enterprise concerns such as responsible AI, security, governance, observability, reliability, scalability, and data privacy.
• Experience working with Git, CI/CD, APIs, cloud-native development, testing, Agile practices, and SDLC processes.
• Strong collaboration and communication skills with the ability to work across multiple teams and stakeholders.

Preferred Skills

• Experience contributing to reusable GenAI or agentic platform capabilities.
• Familiarity with enterprise-scale AI orchestration, monitoring, and governance practices.
• Ability to thrive in a fast-moving, cross-functional environment with broad visibility and ownership.
• Interest in building safe, reliable, and scalable AI solutions that create measurable business impact.

Horizontal is committed to building an inclusive workplace where diverse perspectives are welcomed, respected, and valued. We believe diversity, equity, and inclusion strengthen our teams and help create better outcomes for everyone.

We offer competitive compensation and benefits including medical, dental, vision, and retirement.

Applications will be accepted for 4 weeks.

The pay range for this role is $69 - $107 per hour based on qualifications and experience.