Cadre
Founding Full Stack Engineer (Onsite SF)
Cadre, San Francisco, California, United States, 94199
Founding Software Engineer
Location:
San Francisco (In-Person Preferred) Type:
Full-Time | Founding Team Stage:
YC W25 | $4.1M Seed Raised Valuation:
$35M Equity:
Significant Early-Stage Ownership About ZeroEntropy
At
ZeroEntropy , we're building the
world's most accurate search engine for unstructured data
- the retrieval layer powering AI agents and LLM applications. In the era of RAG (retrieval-augmented generation), search is no longer a nice-to-have - it's
the backbone of next-gen intelligence .
Our platform connects massive, complex knowledge bases to LLMs through purpose-built retrieval infrastructure. Think:
vector DB + re-ranker + agent orchestration , engineered from first principles. We're not just chaining APIs - we're rebuilding how AI systems find and reason over information. What We're Building A
RAG-native retrieval engine
with sub-second latency and high-precision recall. Custom-trained AI models
tailored for semantic retrieval over unstructured enterprise data. Re-ranking algorithms
tuned for multi-domain relevance and enterprise-scale accuracy. Real-time orchestration layers
for AI agents, with low-latency, high-availability guarantees. Full-stack pipelines
blending infra, AI research, and developer tools. This is a chance to define a category and ship frontier systems from the ground up. Why Join ZeroEntropy?
Greenfield opportunity:
Be part of a core team inventing the future of semantic retrieval infra. Dual exposure:
Work across
low-level systems and high-leverage AI model training . Founder-caliber team:
Collaborate with engineers obsessed with correctness, clarity, and speed. Massive upside:
Backed by top Bay Area investors at a $35M valuation - join early, shape everything. Velocity over hierarchy:
No bureaucracy, no politics - just world-class execution. Ideal Background
We're looking for a highly capable and product-oriented engineer who's excited to build foundational systems for AI. You might be a fit if you have: Must-Haves: 2+ years
of full-stack engineering experience, or standout internships/projects that show equivalent skill. Strong fluency in
React, TypeScript, Python, SQL , and backend architecture. A history of
shipping fast and learning faster
- whether in startups, side projects, or internships. Product intuition - you think in terms of users, not just code. A
Top 25 CS degree
or equivalent practical engineering excellence. Bonus Points: Built or contributed to
retrieval systems, RAG pipelines, or devtools . Previous experience as a
founding engineer, co-founder, or early technical hire . Internships or roles at elite companies (FAANG, infrastructure startups, AI labs). Passion for
AI infra , LLM apps, and cutting-edge search/retrieval research. Where We Work
We're based in
San Francisco
and deeply value
in-person collaboration . You'll work directly with the founders and sit across the table from other obsessive builders solving hard technical problems with speed and purpose.
Location:
San Francisco (In-Person Preferred) Type:
Full-Time | Founding Team Stage:
YC W25 | $4.1M Seed Raised Valuation:
$35M Equity:
Significant Early-Stage Ownership About ZeroEntropy
At
ZeroEntropy , we're building the
world's most accurate search engine for unstructured data
- the retrieval layer powering AI agents and LLM applications. In the era of RAG (retrieval-augmented generation), search is no longer a nice-to-have - it's
the backbone of next-gen intelligence .
Our platform connects massive, complex knowledge bases to LLMs through purpose-built retrieval infrastructure. Think:
vector DB + re-ranker + agent orchestration , engineered from first principles. We're not just chaining APIs - we're rebuilding how AI systems find and reason over information. What We're Building A
RAG-native retrieval engine
with sub-second latency and high-precision recall. Custom-trained AI models
tailored for semantic retrieval over unstructured enterprise data. Re-ranking algorithms
tuned for multi-domain relevance and enterprise-scale accuracy. Real-time orchestration layers
for AI agents, with low-latency, high-availability guarantees. Full-stack pipelines
blending infra, AI research, and developer tools. This is a chance to define a category and ship frontier systems from the ground up. Why Join ZeroEntropy?
Greenfield opportunity:
Be part of a core team inventing the future of semantic retrieval infra. Dual exposure:
Work across
low-level systems and high-leverage AI model training . Founder-caliber team:
Collaborate with engineers obsessed with correctness, clarity, and speed. Massive upside:
Backed by top Bay Area investors at a $35M valuation - join early, shape everything. Velocity over hierarchy:
No bureaucracy, no politics - just world-class execution. Ideal Background
We're looking for a highly capable and product-oriented engineer who's excited to build foundational systems for AI. You might be a fit if you have: Must-Haves: 2+ years
of full-stack engineering experience, or standout internships/projects that show equivalent skill. Strong fluency in
React, TypeScript, Python, SQL , and backend architecture. A history of
shipping fast and learning faster
- whether in startups, side projects, or internships. Product intuition - you think in terms of users, not just code. A
Top 25 CS degree
or equivalent practical engineering excellence. Bonus Points: Built or contributed to
retrieval systems, RAG pipelines, or devtools . Previous experience as a
founding engineer, co-founder, or early technical hire . Internships or roles at elite companies (FAANG, infrastructure startups, AI labs). Passion for
AI infra , LLM apps, and cutting-edge search/retrieval research. Where We Work
We're based in
San Francisco
and deeply value
in-person collaboration . You'll work directly with the founders and sit across the table from other obsessive builders solving hard technical problems with speed and purpose.