Our Mission:

AdvisoryAI is an AI-powered Co-pilot assistant for financial advisors. Our mission is to democratize wealth management by automating complex workflows for financial advisors. Our AI-first approach helps advisors spend less time on middle-office tasks and more time concentrating on building strong, genuine connections with clients.

We recently closed our seed round to scale our AI infrastructure and are looking to bring on board exceptional AI Engineer and expand our team! That person will have the ability to be entrepreneurial, wear many hats, thrive in the uncertain environment that an early-stage startup is, and most importantly, show initiative and challenge existing norms.

Values:

At AdvisoryAI, we encourage experimentation, fast execution, and fast learning. We are adaptable and agile. We value driven people who take initiative and voice their opinions. We love self-starters! At the heart of our culture is open communication, transparency, and trust. We encourage our team members to speak up, share their ideas, and challenge the status quo.

Location:

AdvisoryAI's headquarters is located in central London and our Asia office is located in Kuala Lumpur. We would love to work together in our office with some hybrid flexibility.

About the Role:

As an AI Engineer at AdvisoryAI, you will be responsible for designing, developing, and deploying AI solutions that leverage large language models (LLMs) and retrieval-augmented generation (RAG) pipelines. You will work closely with our research and development team to test and compare different LLMs, such as OpenAI, Llama, Mistral and Claude, and address associated challenges like speed and cost optimization.

Responsibilities:

Design and implement RAG pipelines to enhance information retrieval and generation tasks.
Develop a deep understanding of the differences between prompting and training LLMs and apply this knowledge to optimize model performance.
Test and evaluate various LLMs to identify the best fit for specific use cases.
Analyze and address issues related to model speed, performance, and cost-effectiveness.
Collaborate with cross-functional teams to integrate AI solutions into production environments.
Stay up-to-date with the latest advancements in AI and machine learning to improve our solutions continuously.

Requirements:

5+ years of professional hands-on development experience using Python, especially machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
Proven experience in setting up and optimizing RAG pipelines.
Strong understanding of prompting vs. training for large language models.
Must have production level experience with AWS services.
Hands-on experience with testing and comparing different LLMs (OpenAI, Llama, Claude, etc.).
Familiarity with the challenges of model speed and cost optimization.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork skills.

Added Advantage If You:

Contributions to open-source projects or experience leading AI initiatives.

What We Offer:

Unlimited opportunities for learning and growth in a fast-paced, AI-focused startup.
Collaborative, people-oriented culture that values transparency, trust, and open communication.
Comprehensive employee benefits, including unlimited annual leave, birthday leave, and annual team trips.
Opportunity to work with cutting-edge AI technologies and make a meaningful impact in the financial industry.

If you are a passionate AI Engineer with a track record of building exceptional user experiences and a desire to shape the future of financial advice, we would love to hear from you. Join us at AdvisoryAI and be part of a team that is pushing the boundaries of what's possible with AI-powered solutions.

AdvisoryAI jobs

AI Engineer (LLM)