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Synquery is redefining how expert insights are accessed and applied. We’re building an AI-native expert network that connects clients to expertise with unmatched speed, precision, and efficiency. We’ve designed our platform from the ground up for the age of AI—powering features like AI-driven interviewing agents and AI based expert sourcing/search. With a proven MVP and growing traction, we’re expanding our team to scale the platform and build the future of expert insight.
Job Responsibility:
Build Core Systems: Design, implement, and maintain robust, scalable, and secure software solutions
Contribute to the Architecture: Contribute to the technical architecture decisions to ensure scalability, maintainability, and performance of our systems
Collaborate Cross-Functionally: Partner with product, design, and ML teams to translate business goals into robust features
Advise and Guide: Provide technical guidance when needed to less experienced engineers and help shape a high-performance, collaborative culture
Innovate: Leverage emerging technologies in AI/ML, generative AI, and hybrid search to enhance product capabilities
Shape Engineering Culture: As a founding team member, influence team practices, tooling, and values from the ground up
Requirements:
7+ years in full-stack software development, ideally with experience in early-stage or high-growth startups
Proficiency in Python (FastAPI), TypeScript (Next.js), PostgreSQL, AWS, Docker
Experience with LLM APIs (GPT, Claude, etc.) and/or vector DBs (e.g., Pinecone) is a big plus
Strong collaboration with product teams, with an ability to balance speed, quality, and user impact
A dynamic, entrepreneurial approach to problem-solving
Thrives in fast-paced, ambiguous environments with a “get-it-done” attitude
Skilled at designing resilient systems and debugging complex issues in live environments
Solid interpersonal skills with the ability to work well with team members from varied cultural backgrounds
Strong ability to clearly communicate to both technical and to a lesser extent business audiences