Lead AI Application Engineer
il y a 2 semaines
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At BOI we pioneer the field of AI strategy and applied AI, partnering with the world's most ambitious businesses to unlock the transformative potential of AI. We don't just help organizations imagine what's possible—we build the AI products that turn vision into reality.
From developing the world's first AI-native fashion and retail models for a global retail giant to creating an autonomous innovation engine for a leading CPG company. As a cutting-edge consultancy, we collaborate with Fortune 500 companies on high-impact international projects, helping them innovate, grow, and lead in the autonomous age.
We're also the creators of Autonomous, the world's largest gathering of AI innovators, where thought leaders and visionaries come together to redefine industries and shape the future of technology.
If you're passionate about driving transformative change, becoming part of our founding engineering team and leading on projects at the forefront of AI innovation, we'd love to meet you.
About the Role
We are looking for a Lead AI Application Engineer to integrate foundational models into innovative tools and workflows for our clients, with a strong focus on building agentic tools that adapt and respond to complex user needs. You will be at the forefront of AI-powered product development, focusing on embedding foundational models into applications, fine-tuning workflows, and ensuring seamless performance. The ideal candidate has experience working in a consulting or agency environment and thrives in dynamic, project-based work.
This is a hands-on role where you will be responsible for building and implementing systems from the ground up. You would write production-level code while defining processes and best practices for future team growth.
Responsibilities
- Integrate APIs for foundational models (e.g. OpenAI, Anthropic, Hugging Face) into scalable applications.
- Develop and optimize workflows for foundational model use cases, including prompt engineering, embedding generation, and real-time decision-making for agentic tools.
- Implement and manage vector-based search systems and retrieval-augmented generation (RAG) setups.
- Build and refine tools with adaptive agentic capabilities to enable autonomous decision-making and user interactions.
- Monitor the performance of AI systems, troubleshoot issues, and improve outputs to align with client needs.
- Collaborate with data engineers to integrate harmonized data into AI workflows.
- Work with full-stack engineers to embed AI functionalities into user-facing applications.
- Stay updated on the latest advancements in AI APIs, tools, and techniques to deliver innovative solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- A minimum of 6 years of professional experience in AI application development or software engineering.
- Proven experience working in a consulting or agency environment on project-based work.
- Advanced proficiency in Python and frameworks like LangChain for building AI-powered applications.
- Strong knowledge of foundational model APIs and embedding techniques.
- Hands-on experience with vector databases (e.g. Pinecone, Weaviate) and RAG workflows.
- Familiarity with deploying AI applications in cloud environments (AWS, Azure, or GCP).
- Ability to translate complex client needs into technical solutions using foundational models.
- Experience building tools with agentic capabilities to adapt and automate workflows.
- Advanced English skills, both written and verbal, with the ability to communicate effectively in an international team.
Preferred Qualifications
- Experience with MLOps practices for managing AI systems in production.
- Knowledge of schema design and structured data preparation for AI workflows.
- Understanding of model performance evaluation and optimization.
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