Varos is an AI Market Research firm, providing competitive intelligence, benchmarks and market research.

We sell to both Marketing Executives and Tech Executives.

For Tech Executives: Cutting through the AI chaos, we deliver clear, actionable insights & market research that drive real ROI for enterprise tech leaders.

Our proprietary approach—blending expert interviews, robust data analysis, and deep vendor insights—cuts through the noise and delivers the customized guidance you need to make faster, smarter AI decisions.

Backed by top-tier venture capital and steered by a team of former enterprise CIOs, Varos Research transforms market intelligence into tangible success.

For Marketing Executives: We have built the largest first-party data co-op in digital marketing, offering highly granular and real-time benchmarks & market trends in a give-to-get model.

Get an instant McKinsey-level audit of your account, benchmarked against 7,000+ companies, including many similar to yours for your Meta/Google Ads.

Overview

Varos just raised its latest VC round from one of the best investors in SF (still unannounced) and we are bringing on an AI engineer to join our small and mighty team. You’ll build end-to-end functionality such as AI Agents, RAG Search, etc. and be actively involved in building the company into an empire. 

https://interviews.varosresearch.com/aiengineerinterview – Begin your 10-minute qualitative AI interview.

Key Responsibilities

• Solution Development: Integrate and orchestrate LLMs and AI services to solve real-world business problems.
• Agent & Prompt Engineering: Research, experiment, and implement agent-based architectures, advanced prompt strategies, and model usage best practices.
• Collaborative Problem-Solving: Work with cross-functional teams to identify AI-driven solutions and optimize existing workflows.
• Innovation & Research: Keep updated with emerging AI trends, libraries, and approaches to enhance our AI capabilities.
• Performance & Reliability: Ensure AI solutions are scalable, secure, and efficient for enterprise-grade deployment.

Required Qualifications

• Technical Expertise: Proficient in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow) for inference and orchestration.
• Hands-On Experience: Demonstrable success in developing AI-driven or NLP-based products in a production environment.
• Problem-Solving: Strong ability to dissect complex problems and implement creative AI-driven solutions.

Communication Skills: Adept at conveying technical concepts and collaborating with non-technical stakeholders.

We have highly scalable data pipelines that process Terabytes of data every month, enrich data via integrations and enables zero latency queries all by maintaining data privacy. A large portion of the technical work is dealing with complex data normalization across companies and integrations, all in real-time.

Back-end mainly built with Python and SQL (using Snowflake and AWS). In the front-end, users gets a dashboard built in React.