Job description

Title : Generative AI / Agentic AI Engineer Location : Brooklyn Park, MN | Hybrid â onsite 2 days per week Job Type : Contract (4 months) Compensation : $67.00 - $112.00 per hour (W2) Industry: Retail --- About the Role We are seeking an experienced Generative AI / Agentic AI Engineer with 5-6 years of experience in software engineering, machine learning, AI, or data science, including at least 2 years of hands-on experience developing and deploying Generative AI solutions in production environments. The ideal candidate combines strong software engineering expertise with practical experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), conversational AI, prompt engineering, and emerging agentic AI architectures. In this role, you will design, build, evaluate, and operationalize scalable AI-powered applications that solve complex business challenges and deliver measurable business value. You will collaborate closely with product, engineering, architecture, data science, security, and business stakeholders to transform business requirements into reliable, enterprise-grade AI solutions. Job Description Key Responsibilities • Design, develop, and deploy end-to-end Generative AI applications from proof of concept through production implementation, monitoring, and optimization. • Build and enhance RAG-based applications and conversational AI solutions utilizing LLMs, vector databases, embeddings, retrieval techniques, reranking strategies, and context management approaches. • Develop and optimize prompt engineering frameworks, including structured prompting, few-shot learning, tool calling, and reusable prompt workflows. • Implement LLM evaluation and testing frameworks that assess response quality, relevance, accuracy, groundedness, safety, latency, cost efficiency, and overall application performance. • Design, develop, and support autonomous and multi-agent AI workflows that enable reasoning, planning, tool utilization, and workflow orchestration. • Contribute to enterprise-scale AI platforms focused on orchestration, observability, governance, lifecycle management, and responsible AI practices. • Build scalable Python services, APIs, integration components, evaluation pipelines, and supporting AI infrastructure. • Partner with cross-functional teams to deliver AI solutions aligned with business objectives and technical standards. • Apply software engineering best practices, including code reviews, automated testing, source control management, CI/CD pipelines, Agile methodologies, and SDLC processes. • Monitor and optimize production AI systems to improve reliability, scalability, performance, model quality, user experience, and operational efficiency. • Support the development of secure, governed, and compliant AI capabilities across the organization. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field, or equivalent professional experience. • 5-6 years of professional experience in software engineering, machine learning, artificial intelligence, data science, or related technical disciplines. • Minimum 2 years of hands-on experience building and deploying end-to-end Generative AI applications in production environments. • Strong experience with Large Language Models (LLMs), Generative AI application development, Retrieval-Augmented Generation (RAG), conversational AI solutions, prompt engineering, prompt optimization, and LLM evaluation methodologies. • Advanced programming skills in Python with strong software engineering fundamentals. • Hands-on experience with AI/ML frameworks, LLM orchestration technologies, vector databases, embeddings, retrieval strategies, reranking techniques, and model integration technologies. • Experience designing and implementing agentic AI and multi-agent systems, including orchestration, memory management, workflow execution, tool integration, guardrails, and evaluation frameworks. • Experience developing and integrating APIs, cloud-native applications, and scalable services. • Understanding of enterprise AI considerations including Responsible AI, security, governance, observability, reliability, scalability, and data privacy. • Experience with modern software development practices, including Git, automated testing, CI/CD pipelines, Agile methodologies, and SDLC processes. • Strong communication, problem-solving, and stakeholder management skills, with the ability to collaborate effectively across technical and business teams. Preferred Qualifications • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. • Experience delivering AI solutions within large-scale enterprise environments. • Experience with cloud platforms and AI services such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar offerings. • Hands-on experience with GenAI and agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or comparable orchestration technologies. • Experience with MLOps, LLMOps, AI observability, model monitoring, governance, and lifecycle management platforms. • Knowledge of enterprise architecture principles, distributed systems, and scalable application design. • Experience building reusable AI platforms, frameworks, or shared services that support enterprise-wide adoption. • Experience in retail, e-commerce, supply chain, digital commerce, or other customer-focused industries. • Relevant certifications in cloud computing, artificial intelligence, machine learning, or software engineering. Benefits Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your familyâs needs. For details, please review the DAHL Benefits Summary: dahlconsulting.com. How to Apply Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once weâve reviewed your application details, a recruiter will reach out to you with next steps! Equal Opportunity Statement As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!

Requirements

Must-haves

Title : Generative AI / Agentic AI Engineer
Location : Brooklyn Park, MN | Hybrid â onsite 2 days per week
Job Type : Contract (4 months)
Compensation : $67.00 - $112.00 per hour (W2)
Industry: Retail
You will collaborate closely with product, engineering, architecture, data science, security, and business stakeholders to transform business requirements into reliable, enterprise-grade AI solutions.
Design, develop, and deploy end-to-end Generative AI applications from proof of concept through production implementation, monitoring, and optimization.
Build and enhance RAG-based applications and conversational AI solutions utilizing LLMs, vector databases, embeddings, retrieval techniques, reranking strategies, and context management approaches.
Develop and optimize prompt engineering frameworks, including structured prompting, few-shot learning, tool calling, and reusable prompt workflows.
Implement LLM evaluation and testing frameworks that assess response quality, relevance, accuracy, groundedness, safety, latency, cost efficiency, and overall application performance.
Design, develop, and support autonomous and multi-agent AI workflows that enable reasoning, planning, tool utilization, and workflow orchestration.
Contribute to enterprise-scale AI platforms focused on orchestration, observability, governance, lifecycle management, and responsible AI practices.
Build scalable Python services, APIs, integration components, evaluation pipelines, and supporting AI infrastructure.
Partner with cross-functional teams to deliver AI solutions aligned with business objectives and technical standards.
Apply software engineering best practices, including code reviews, automated testing, source control management, CI/CD pipelines, Agile methodologies, and SDLC processes.

Nice-to-haves

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Experience delivering AI solutions within large-scale enterprise environments.
Experience with cloud platforms and AI services such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar offerings.
Hands-on experience with GenAI and agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or comparable orchestration technologies.
Experience with MLOps, LLMOps, AI observability, model monitoring, governance, and lifecycle management platforms.
Knowledge of enterprise architecture principles, distributed systems, and scalable application design.
Experience building reusable AI platforms, frameworks, or shared services that support enterprise-wide adoption.
Experience in retail, e-commerce, supply chain, digital commerce, or other customer-focused industries.
Relevant certifications in cloud computing, artificial intelligence, machine learning, or software engineering.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: haleymarketing
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