AI Engineer
AI Engineer
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Job Description
About us: Stanley - Built for Life since 1913.
Stanley 1913 has fueled the human experience since the iconic Stanley vacuum bottle revolutionized the way people enjoyed food and beverage. Today our colorful and thoughtfully designed products including the popular QuencherTM series go beyond function elevating everyday moments with style and empowering active lifestyles. Were a community of creators builders and inventors who believe in creating sustainable products for a better life and world that minimize our impact on the planet. Learn more at .
Position Overview
Stanley 1913 is seeking a Full Stack AI Engineer with experience in Generative AI Multi Agent Systems. You will work across the entire stackdeveloping agentic pipelines using LangGraph CrewAI and Model Context Protocol (MCP) on Azure Cloud and Databricks. You will also perform rapid prototyping POC development and exploration of emerging AI technologies. Driven by curiosity and passion for innovative responsible applications of AI you will ensure our business is able to grow nimbly and surprise and delight our customers. Your work will enable our builders to maintain a focus on their highest-impact work which will help our team and customers thrive.
Responsibilities
- Build and orchestrate multi-agent systems using LangGraph CrewAI and MCP with well-defined agent logic tools and workflows.
- Implement retrieval-augmented generation (RAG) and agentic RAG pipelines with hybrid search context compression and memory modules.
- Deploy and fine-tune OpenAI and open-source LLMs (e.g. LLaMA Mistral) using techniques like LoRA and QLoRA.
- Manage CI/CD workflows using GitHub Actions or Azure DevOps and monitor model pipelines and health.
- Ensure the platform is scalable highly performant and secure
- Own projects from conception to deployment monitoring and iteration driving end-to-end delivery.
- Engage product management and engineering to align project roadmaps scope and timelines.
- Stay ahead of with the latest advancements in LLMs and agentic AI evaluating new approaches for practical applications.
- Foster a culture of experimentation and innovation encouraging bold ideas and rapid delivery.
Required Skills
- 5 years of software engineering experience with 1 years focused on AI/ML systems.
- Experience with LangGraph CrewAI Model Context Protocol (MCP) RAG and multi-agent orchestration
- Experience in regression classification clustering deep learning NLP etc
- Experience with Python Databricks Spark TensorFlow PyTorch and cloud platforms
- Experience with embedding models document loaders graph-based memory systems and long-context handling.
- Strong Azure expertise including infrastructure-as-code (Terraform) serverless computing observability and scaling.
- Familiarity with MLOps and AI application patterns (e.g. vector DBs retrieval-augmented generation MLFlow).
- Experience in evaluating models and implementing guardrails
- Ability to push boundaries experiment with innovative approaches and drive continuous improvement in engineering practices.
- Experience in fast-paced environments where adaptability and rapid iteration are crucial.
- Frontend experience for building AI chat interfaces will be a plus
The base pay range for this position is for a successful candidate within the state listed. The successful candidates actual pay will be based on multiple factors such as work location job-related knowledge skills qualifications and experience.
Salary Range
$130000 - $165000 USD
Stanley is committed to a diverse and inclusive work environment. Stanley is an equal opportunity employer and does not discriminate based on race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status. For individuals with disabilities who would like to request an accommodation please reach out to .
Stanley is a total rewards company which includes rewards beyond base salary. At Stanley North America full-time employees are eligible for an annual bonus based on company and individual addition we offer a variety of employee benefits personalized time off 14-Paid holidays dental vision 401(k) and much more.
About our parent company: Morgan Street Holdings
Stanley 1913 is part of Morgan Street Holdings (formerly HAVI) a privately owned enterprise with a diverse portfolio of operating companies. These include HAVI Supply Chain tms Stanley 1913 and Continental which provide best-in-class sourcing and supply chain capabilities brand-defining marketing and promotion services innovative consumer products and dining and refreshment food solutions. Morgan Street Holdings employs over 10000 people and serves 300 customers across the globe.
Morgan Street Holdings supports Stanley 1913 with competitive pay and benefits along with exposure to diverse industries and professional networking and development opportunities.
Employment Type
Full Time
