Senior/Principal Applied AI Engineer

Harnham; Michigan; Hybrid; USD 150,000 - 205,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

High-impact AI projects

Growth opportunities

Collaborative culture

Job summary

Harnham in the United States is seeking a Senior/Principal Applied AI Engineer to own production-grade GenAI solutions, from prototypes through scalable deployment, with clear visibility of impact on customers and internal teams.

You will design, build, and deploy GenAI apps, develop LLM-powered solutions with prompt engineering, vector databases, and Retrieval-Augmented Generations, and deliver production-ready conversational AI and agents.

Qualifications

• Advanced Python development with GenAI libraries.
• Hands-on with large language models and prompt engineering.
• Proven experience building RAG pipelines and vector databases.
• Strong SQL skills and cloud data platforms.
• Production-grade conversational AI, clear communication to varied stakeholders.

Responsibilities

• Design, build, and deploy Generative AI applications across platforms.
• Develop LLM-powered solutions using prompt engineering and vector DBs.
• Own AI chatbots/agents with production-level performance and compliance.
• Create AI agents for real-time interactions across channels.
• Deliver PoCs for document understanding, summarisation, and knowledge tools.
• Optimize model usage, prompts, and parameters for cost and reliability.
• Collaborate with product, engineering, data, and partners to align AI with priorities.

Skills

Python

GenAI / LLMs

Prompt engineering

RAG pipelines

Vector databases

SQL

Conversational AI

Communication

Cross-functional teamwork

Tools

Cloud data platforms

LLM evaluation tooling

Job description

Senior/Principal Applied AI Engineer

United States, hybrid or remote. Competitive salary plus benefits.

$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company

They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role

You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience

You will bring strong, practical experience applying GenAI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.