Senior AI Engineer

Dovetail is the world’s leading AI-first customer insights hub, on a mission to improve the quality of every thing. We’re redefining what it means to be connected to your customer, giving everyone on the product team fast and easy access to customer insights at any point in the development lifecycle.

Founded in 2017, Dovetail’s team is 100+ and growing across our offices in Sydney and San Francisco. We’re seeking ambitious problem solvers from a diverse range of backgrounds, who are desired for their experience, passionate about their craft, and excited about the work we’re undertaking. If this sounds like you, read on…

We're looking for a Senior AI Engineer to join our Product Engineering Team focusing on the full Project Experience for our customers. The team has extremely high impact and is faced with the challenge of building a powerful product whilst providing simplicity to our customers.

Who you’ll work closely with

• Join our product engineering team. You'll be a crucial part of our ai team, working closely with your engineering manager and other engineers to evolve our AI feature set of Dovetail's product.

• Driving AI enablement. Enabling and empowering others to build and improve AI features across the product teams and greater organisation.

• R&D. You’ll be given capacity to stay on top of new technologies and trends to influence the product roadmap.

• Mentor and support other engineers. We're growing quickly and as a senior engineer, you'll assist in optimizing the team to continually improve their software practices through code review, pair programming, etc to support career growth.

• Foster a culture of pragmatism. You'll maintain and foster a pragmatic approach to software development whilst also collaborating towards the establishment of detailed guidelines and standards for product development processes based on industry best practices and your experience.

• Extensive experience building ML products. You'll have hands-on exposure to building, designing, developing, and researching Machine Learning systems - especially Large Language Models (LLMs) and retrieval-augmented generation (RAG) pipelines. This will include productionizing them with technology like TypeScript, React, GraphQL, Node, ProseMirror, PostgreSQL and AWS.

• Performance evaluation and improvements. Ability to dig deep into the data and ML pipeline (traditional and/or LLMs) to understand, evaluate and improve the results

• You are pragmatic and flexible. Like your new teammates, you're used to doing what's necessary to get the job done. You'll need to be comfortable with ambiguity, resourceful in solving problems, and able to adjust to shifting deadlines and project goals.

• When you do it, you nail it. You share our keen eye for quality. You don't half-ass your work, instead what you ship is top-notch. You cut scope before cutting quality.

• Excellent, concise communicator. You can easily convey your thoughts, opinions, and feelings with your product team and have the ability to articulate effort vs impact tradeoffs.

Nice to have:

• Search engines & NLP expertise. Strong background in search engines, information retrieval, and natural language processing.

• Real-time systems. Practical knowledge in productionizing chatbots or real-time LLM systems.

• Cost optimization. Experience in optimizing costs for model deployment and maintenance.

• Recommendation systems. Experience in building and optimizing recommendation systems, including search result ranking and custom homepages.