Job Description

BullishIQ is partnering with an innovative early-stage seed startup that is redefining workplace intelligence with open-source AI. Our client is building a cutting-edge enterprise search platform that seamlessly integrates with an organization’s documents, applications, and people—syncing with Slack, Google Drive, Confluence, GitHub, and more. The result is a single, intelligent system where users can instantly access the information they need without wasted time or effort.

If you’re passionate about AI, open-source technology, and transforming how teams work, keep reading. We’re helping our client find a Full Stack Engineer who will play a pivotal role in shaping the core product. As an early team member, you'll be instrumental in building the platform that becomes the go-to application for users to find all work-related information. Please note that this is not a remote role and this is an in-person role based in San Francisco, CA.

What You'll Do:

• Building a consumer grade UI experience for our GenAI Chat, Enterprise Search, and Admin/Curation features
• Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features
• Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent Search, etc. to increase the range of questions the system can answer
• Own the entire development cycle of new features, from conception to production
• Collaborate with founders to shape and influence the direction of the product and contribute to the engineering strategy

What You Should Have:

• Have 1-5 years (or more) of software engineering experience building real-world applications
• Experience with Typescript/React/NextJS, Python, Relational DB (Postgres)
• Experience working in a fast moving startup and in small teams with minimal guidance
• Excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)

Bonus points

• Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/ cloud deployments
• Experience (or even just interest) in information retrieval and AI (NLP, Deep Learning, GenAI)
• Previous Founder or 0-to-1 engineer at early startup

The client offers a comprehensive compensation package for this role, including a base salary and equity. The final offer is determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training.

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