Artificial Intelligence Engineer

Stimulus is an AI-powered relationship intelligence (SaaS) platform that combines data insights, relationship-building tools, and a proprietary score to help companies make the best sourcing, procurement, and purchasing decisions - while growing their supplier ecosystems.

We are a VC-backed startup with amazing investors including Black Ops VC, Northwestern Mutual Future Ventures, Morgan Stanley, REFASHIOND Ventures, Darco Capital and more; and we are growing with support from our partners including Google, Microsoft and more.

Our company culture is unique, creative, and passionate about fostering strong relationships. We are a small but experienced team with a combined experience of over 100 years in product, business, and technology. We work remotely and thrive on challenges and continuous learning. Our team is dynamic, energetic, and genuinely passionate about our work.

Overview

We are looking for an Artificial Intelligence Engineer to join our Data & AI Team . You will work across the organization to create, deploy, tune, and improve the state-of-the art Big Data & AI platform, which is at the core of our product offering.

You will work independently with little supervision. You should have excellent analytical, organization and problem-solving skills. We'd like to meet you.

Working at Stimulus

Our Motto: Build Better Relationships

Our Mission: Using AI to grow and create a Billion B2B relationships.


Our Values:

• Build Better Relationships
• Trust and Transparency
• Learn and Grow
• Deliver an Experience
• Empower our community
• Enjoy the Journey

Stimulus is dedicated to greater diversity and inclusion within our own organization and provides equal opportunity to people of all races, ethnicities, religions, genders, sexual orientations, gender identifications, abilities, incomes, marital statuses, ages, philosophies, disabilities, and veteran statuses.

Visit: to learn more about the company

Core Skills & Technologies

1. GenAI & LLM Systems
   • Experience building GenAI apps using frameworks like LangChain, Langgraph, CopilotKit, and vector stores.
   • Deep understanding of prompt engineering, retrieval-augmented generation (RAG), orchestration, observability, evaluation, and scaling LLM-powered applications (linkedin.com, valtech.com, dev.to).
2. Full-Stack Frameworks
   • Next.js for React-based front-end development; knowledge of SSR, SSG, Incremental Static Regeneration.
   • Python for back-end and ML components-proficient with FastAPI.
   • Strong REST and GraphQL API skills.
3. Ba ck-End & Data Systems
   • FastAPI: designing high-performance async APIs in Python.
   • PostgreSQL: optimal database schema, query tuning, and context augmentation for GenAI .
   • Databricks: ETL pipelines, feature engineering, MLflow or equivalent MLOps.
4. Serverless & Cloud-Native Architectures
   • AWS/Azure/GCP proficiency in serverless-Lambda, FaaS patterns linked to FastAPI or Next.js.
   • Infrastructure as code (Terraform, Serverless Framework, AWS CDK).
5. AI-First IDE Experience
   • Hands-on with Cursor, Windsurf (or Codeium) for AI-assisted development and "vibe coding" (news.ycombinator.com, valtech.com, businessinsider.com).
   • Familiarity with "agent mode"-AI-driven multi-file generation and cascade edits (medium.com).

Architectural & Soft Skills

1. Agentic AI & Autonomous Systems
   • Experience designing multi-agent orchestration (e.g., Copilot agents), integrating tool chains and retrieval pipelines (rightfirms.co).
2. Multimodal & Edge-Aware AI
   • Worked on systems combining text, images, audio, video; edge model deployment/optimization (rightfirms.co).
3. AI Governance & Reliability
   • Apply observability, bias detection, evaluation loops, and explainability (XAI) in production GenAI systems (dev.to, arxiv.org).
4. High-Velocity Development (Vibe Coding)
   • Demonstrated use of AI-powered IDE workflows to deliver faster, iterative development cycles, handling routine code generation while focusing on system-level thinking (businessinsider.com).

Education and Experience Requirements

1. At least 5 years of professional experience in similar roles and similar products.
2. Bachelor's degree in AI engineering, computer science, or related field.
3. Proven experience as an AI engineer, software engineer, or similar.