About the job
Job Title: Staff Engineer – Full Stack
Location: Greater Boston (Hybrid)
About Us
At Synquery, we are revolutionizing the way expert insights are accessed and utilized. Our company, supported by prominent venture capital firms such as Audacious Ventures, Afore Capital, and Caesar Ventures, is creating an AI-driven expert network that swiftly connects clients with the expertise they need with unparalleled speed, accuracy, and efficiency.
Our platform has been meticulously crafted for the AI era, featuring innovative tools such as AI-powered interviewing agents and AI-based expert sourcing/search functionalities.
With a validated MVP and increasing market traction, we are looking to expand our team to enhance our platform and shape the future of expert insights. If you are passionate about developing AI-first products, we would love to hear from you.
The Role
As a Staff Engineer, you will be responsible for defining and implementing the fundamental systems that drive Synquery. You will engage directly with both front-end and back-end development, participate in architectural decision-making, and steer engineering efforts aligned with product objectives.
You will also play a key role in establishing our technical standards, influencing hiring decisions, and mentoring your peers. This position is perfect for a seasoned engineer eager to take on diverse responsibilities—whether as a builder, architect, or leader—and to make significant contributions to a dynamic AI product.
Responsibilities
Develop Core Systems: Architect, implement, and maintain resilient, scalable, and secure software solutions.
Architectural Contributions: Engage in technical architecture discussions to ensure our systems are scalable, maintainable, and performant.
Cross-Functional Collaboration: Work closely with product, design, and machine learning teams to translate business objectives into robust features.
Mentorship: Offer technical advice and mentorship to junior engineers, fostering a high-performance and collaborative culture.
Innovation: Utilize emerging technologies in AI/ML and generative AI to enhance product functionalities.
Cultivate Engineering Culture: As a foundational team member, influence team practices, tools, and values from the outset.

