ABOUT US
CTD is the Relationship Activation Platform that helps go-to-market teams instantly find and request introductions to key decision-makers using real relationships from across their company, board, investors, advisors, customer champions, and more.
Whether it’s a warm path through your CEO, a trusted investor, a strategic partner, or even a personal connection, CTD reveals who actually knows your target buyers and makes it easy to request and track trusted intros at scale.
We turn hidden networks into a repeatable, high-impact channel for modern sales teams.
ABOUT THE ROLE
We’re seeking an experienced AI Consultant to help us design, prototype, and deploy intelligent agents tailored to real-world business applications. This is a hands-on, technical role focused on building systems that combine retrieval, reasoning, memory, and safe execution in production.
You’ll be working alongside our in-house engineering and data science team to bring an agent from concept to deployment quickly and pragmatically.
WHAT YOU'LL DO
- Architect and build intelligent agents from scratch, with thoughtful decisions around using existing tools vs. custom solutions.
- Implement and prioritize key components such as memory systems, reasoning frameworks, and vector-based retrieval.
- Fine-tune or integrate LLMs for specific use cases, balancing power with privacy and reliability.
- Design data pipelines for ingesting, transforming, and syncing content from various sources (relational DBs, document stores, APIs).
- Build safe execution layers for agents interfacing with APIs and external systems.
- Develop prompt strategies and memory architectures that generalize across varied user intents.
- Monitor and evaluate agent performance using appropriate metrics (latency, hallucination, accuracy, etc.).
- Collaborate closely with internal teams to iterate rapidly and ship working prototypes.
WHAT WE'RE LOOKING FOR
We will evaluate candidates based on their ability to:
- Rapidly build functional prototypes and iterate.
- Combine deterministic querying with semantic/vector search.
- Integrate LLMs intelligently - not as a catch-all solution.
- Communicate clearly in both code and documentation.
- Make pragmatic, thoughtful decisions around architecture, trade-offs, and timelines.
- Work collaboratively and adapt to changing needs.
- Start immediately.
BONUS POINTS
- Experience advising organizations on broader AI adoption strategies.
- Prior experience integrating AI agents with external systems (e.g., APIs, tools, databases) safely and effectively.
