Catalyst Labs, LLC
Join to apply for the
Applied AI Engineer
role at
Catalyst Labs 1 day ago Be among the first 25 applicants About Us
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with:
AI?first startups
building products powered by LLMs and generative AI,
Established tech companies
scaling their ML infrastructure, recommendation systems, and data platforms, and
Enterprise innovation teams
integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with
founders, CTOs, and Heads of AI
who are driving the next wave of applied intelligence from model optimization to productized AI workflows. Our Client
is reimagining how knowledge is shared. Theyre building a new medium for human connection:
interactive digital minds
that people can talk to, learn from, and be guided by. The internet gave us static profiles and infinite feeds; they create something profoundly different:
living, interactive identities
that carry your voice, judgment, and worldview into every conversation. People dont just read about you, they experience how you think. Their mission is bold and generational in scope. Location:
Jackson Square, San Francisco Work type:
Fully on?site, 5 days a week Compensation:
Above?market base + equity + benefits Visa:
Sponsorship available only for candidates already in the United States The Role
As an
Applied AI Engineer , youll help architect the foundation of next?generation
Mind Architecture , the system that powers how digital minds learn, reason, and express individuality. Unlike traditional RAG systems that treat data as a static collection of documents, we build
rich, hierarchical knowledge graphs
that mirror how real experts think, capturing not just facts but relationships, reasoning styles, and conceptual depth. Youll work at the intersection of
graph systems, LLM reasoning, and scalable AI infrastructure , bringing together symbolic structure and neural intelligence to redefine how knowledge lives digitally. What Youll Do Knowledge Graph & Mind Architecture Design and evolve the graph?based architecture that models a minds reasoning, associations, and conceptual hierarchies. Develop novel embeddings and contextual retrieval methods that make each mind distinct, not just accurate but alive.
RAG & Context Innovation
Build next?generation retrieval?augmented generation systems that integrate structured graph reasoning with neural retrieval. Implement and refine LLM evaluation frameworks to ensure each mind improves over time in quality, consistency, and individuality.
Applied AI & Performance
Push the performance of frontier LLMs through advanced prompt engineering, dynamic context shaping, and evaluation?driven iteration. Architect efficient, low?latency inference pipelines for thousands of simultaneous mind interactions.
Systems & Product Integration
Bridge ML systems and product engineering, shipping AI?powered features that shape user experience directly. Translate abstract research ideas into robust, scalable production systems powering thousands of live digital minds.
Evals & Personalization
Define success metrics for mind quality, advancing tone, style transfer, and reasoning fidelity. Build systems that continuously refine a digital minds authenticity and expressiveness.
What You Bring Core Expertise
4?6+ years of experience in AI or ML engineering, with at least 12 years hands?on with LLMs in production. Proven track record of building and deploying ML?powered systems that directly impact end?user experience. Strong Python expertise, including asynchronous programming, event loop optimization, and performance tuning. Experience with retrieval?augmented generation (RAG), context engineering, and LLM eval frameworks. Deep practical understanding of how LLMs reason, how to structure inputs, and how to measure improvement.
Preferred / Bonus
Experience with graph databases or graph?based retrieval (Neo4j, ArangoDB, or custom?built graph layers). Background in document understanding, embeddings, or multimodal context assembly. Familiarity with AWS, distributed systems, and scalable backend architecture. Hands?on experience fine?tuning LLMs or building adapters for tone/style adaptation.
You are a great fit if
You thrive on hard problems and are motivated by impact over title. Youre comfortable building at the intersection of research, product, and systems engineering. You have an engineers rigor, a creators imagination, and a philosophers curiosity.
Benefits
Unlimited Learning Stipend: books, courses, or conferences of your choice. Comprehensive Health, Dental, and Vision coverage. 401(k) via Human Interest. Relocation assistance to San Francisco (if applicable). A creative, high?agency culture that celebrates curiosity and deep thinking.
Other roles in Applied AI / ML in the US, check them out here
Applied AI / ML engineer focusing on LLMs, and Document processing: [https://www.careers-page.com/catalyst-labs]
Senior level: Not applicable Employment type: Full?time Job function: Engineering and Information Technology Industries: Business Consulting and Services #J-18808-Ljbffr
Applied AI Engineer
role at
Catalyst Labs 1 day ago Be among the first 25 applicants About Us
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with:
AI?first startups
building products powered by LLMs and generative AI,
Established tech companies
scaling their ML infrastructure, recommendation systems, and data platforms, and
Enterprise innovation teams
integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with
founders, CTOs, and Heads of AI
who are driving the next wave of applied intelligence from model optimization to productized AI workflows. Our Client
is reimagining how knowledge is shared. Theyre building a new medium for human connection:
interactive digital minds
that people can talk to, learn from, and be guided by. The internet gave us static profiles and infinite feeds; they create something profoundly different:
living, interactive identities
that carry your voice, judgment, and worldview into every conversation. People dont just read about you, they experience how you think. Their mission is bold and generational in scope. Location:
Jackson Square, San Francisco Work type:
Fully on?site, 5 days a week Compensation:
Above?market base + equity + benefits Visa:
Sponsorship available only for candidates already in the United States The Role
As an
Applied AI Engineer , youll help architect the foundation of next?generation
Mind Architecture , the system that powers how digital minds learn, reason, and express individuality. Unlike traditional RAG systems that treat data as a static collection of documents, we build
rich, hierarchical knowledge graphs
that mirror how real experts think, capturing not just facts but relationships, reasoning styles, and conceptual depth. Youll work at the intersection of
graph systems, LLM reasoning, and scalable AI infrastructure , bringing together symbolic structure and neural intelligence to redefine how knowledge lives digitally. What Youll Do Knowledge Graph & Mind Architecture Design and evolve the graph?based architecture that models a minds reasoning, associations, and conceptual hierarchies. Develop novel embeddings and contextual retrieval methods that make each mind distinct, not just accurate but alive.
RAG & Context Innovation
Build next?generation retrieval?augmented generation systems that integrate structured graph reasoning with neural retrieval. Implement and refine LLM evaluation frameworks to ensure each mind improves over time in quality, consistency, and individuality.
Applied AI & Performance
Push the performance of frontier LLMs through advanced prompt engineering, dynamic context shaping, and evaluation?driven iteration. Architect efficient, low?latency inference pipelines for thousands of simultaneous mind interactions.
Systems & Product Integration
Bridge ML systems and product engineering, shipping AI?powered features that shape user experience directly. Translate abstract research ideas into robust, scalable production systems powering thousands of live digital minds.
Evals & Personalization
Define success metrics for mind quality, advancing tone, style transfer, and reasoning fidelity. Build systems that continuously refine a digital minds authenticity and expressiveness.
What You Bring Core Expertise
4?6+ years of experience in AI or ML engineering, with at least 12 years hands?on with LLMs in production. Proven track record of building and deploying ML?powered systems that directly impact end?user experience. Strong Python expertise, including asynchronous programming, event loop optimization, and performance tuning. Experience with retrieval?augmented generation (RAG), context engineering, and LLM eval frameworks. Deep practical understanding of how LLMs reason, how to structure inputs, and how to measure improvement.
Preferred / Bonus
Experience with graph databases or graph?based retrieval (Neo4j, ArangoDB, or custom?built graph layers). Background in document understanding, embeddings, or multimodal context assembly. Familiarity with AWS, distributed systems, and scalable backend architecture. Hands?on experience fine?tuning LLMs or building adapters for tone/style adaptation.
You are a great fit if
You thrive on hard problems and are motivated by impact over title. Youre comfortable building at the intersection of research, product, and systems engineering. You have an engineers rigor, a creators imagination, and a philosophers curiosity.
Benefits
Unlimited Learning Stipend: books, courses, or conferences of your choice. Comprehensive Health, Dental, and Vision coverage. 401(k) via Human Interest. Relocation assistance to San Francisco (if applicable). A creative, high?agency culture that celebrates curiosity and deep thinking.
Other roles in Applied AI / ML in the US, check them out here
Applied AI / ML engineer focusing on LLMs, and Document processing: [https://www.careers-page.com/catalyst-labs]
Senior level: Not applicable Employment type: Full?time Job function: Engineering and Information Technology Industries: Business Consulting and Services #J-18808-Ljbffr