Applied AI Engineer
Catalyst Labs
Trenton, NJ
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 that’s deeply embedded in our clients’ recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, 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 in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is reimagining how knowledge is shared. They’re 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 don’t just read about you, they experience how you think. Their mission is bold and generational in scope:
- Make human wisdom abundant, personalized, and discoverable.
- Preserve legacies, unlock opportunity, and scale brilliance across generations.
- Design and evolve the graph-based architecture that models a mind’s reasoning, associations, and conceptual hierarchies.
- Develop novel embeddings and contextual retrieval methods that make each mind distinct not just accurate, but alive.
- 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.
- 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.
- 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.
- Define success metrics for “mind quality” advancing tone, style transfer, and reasoning fidelity.
- Build systems that continuously refine a digital mind’s authenticity and expressiveness.
- 46+ 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.
- 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 thrive on hard problems and are motivated by impact over title.
- You’re comfortable building at the intersection of research, product, and systems engineering.
- You have an engineer’s rigor, a creator’s imagination, and a philosopher’s curiosity.
- 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.
- Applied AI / ML engineer focusing on LLMs, and Document processing: [
Posted 2025-10-17
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