At SQOR.ai, we’ve created the ultimate solution for D&A and business teams to harness real-time, actionable insights across their entire organization—without the cost, complexity, or guesswork of traditional BI infrastructure.
Our AI-powered platform integrates with your data sources effortlessly, extracting and analyzing scattered data to transform it into unified, trustworthy insights. All it takes is a secure authentication to connect your data—no complexity, no manual ETL processes, and no barriers. Just instant clarity.
Here’s how SQOR transforms your data into decisions:
- Agents as a Service (AaaS): 60+ autonomous agents anticipate trends, flag risks, and seize opportunities before they emerge, sending alerts and providing recommendations instantly.
- Natural Language Querying (NLQ): Ask any question and get precise answers and reports in seconds.
- Advanced Visualizations: Sleek, intuitive design optimized for both desktop and mobile.
- In-App Collaboration: Chat with your team directly about insights and strategies within the platform.
- 500+ KPIs at Your Fingertips: Monitor every aspect of your business with metrics built for leaders.
With SQOR, you’re not just getting data—you’re getting answers, awareness, and action. For investors and external stakeholders, our unique Execution Score provides an instant, credit-score-like measure of company health, enabling data-driven due diligence and real-time portfolio monitoring.
And if your organization uses a data source not yet in our catalog, we’ll add it—because we believe in making every integration seamless.
Today, hundreds trust SQOR.ai to simplify AI adoption, drive confident decision-making, and unlock value. We’re redefining how businesses and investors extract meaning from their data—making AI accessible, powerful, and transformative.
Whether deploying AI for the first time or scaling your organization’s performance, SQOR.ai ensures you can see, know, and act with precision and ease.
At SQOR.ai, we’ve created the ultimate solution for D&A and business teams to harness real-time, actionable insights across their entire organization—without the cost, complexity, or guesswork of traditional BI infrastructure.
Our AI-powered platform integrates with your data sources effortlessly, extracting and analyzing scattered data to transform it into unified, trustworthy insights. All it takes is a secure authentication to connect your data—no complexity, no manual ETL processes, and no barriers. Just instant clarity.
Here’s how SQOR transforms your data into decisions:
- Agents as a Service (AaaS): 60+ autonomous agents anticipate trends, flag risks, and seize opportunities before they emerge, sending alerts and providing recommendations instantly.
- Natural Language Querying (NLQ): Ask any question and get precise answers and reports in seconds.
- Advanced Visualizations: Sleek, intuitive design optimized for both desktop and mobile.
- In-App Collaboration: Chat with your team directly about insights and strategies within the platform.
- 500+ KPIs at Your Fingertips: Monitor every aspect of your business with metrics built for leaders.
With SQOR, you’re not just getting data—you’re getting answers, awareness, and action. For investors and external stakeholders, our unique Execution Score provides an instant, credit-score-like measure of company health, enabling data-driven due diligence and real-time portfolio monitoring.
And if your organization uses a data source not yet in our catalog, we’ll add it—because we believe in making every integration seamless.
Today, hundreds trust SQOR.ai to simplify AI adoption, drive confident decision-making, and unlock value. We’re redefining how businesses and investors extract meaning from their data—making AI accessible, powerful, and transformative.
Whether deploying AI for the first time or scaling your organization’s performance, SQOR.ai ensures you can see, know, and act with precision and ease.
What they do: No-code decision-intelligence platform that consolidates SaaS data, provides standardized KPIs, AI agents, predictions, causation analysis, and recommendations.
Co-Founder, Senior ML & AI Systems Engineer (LLM Optimization, NL2SQL, Agentic Systems, Python Expert) **Equity-based role**
RemoteUS
Remote • US
Senior ML & AI Systems Engineer 🧠 (LLM Optimization, NL2SQL, Agentic Systems, Python Expert)**
Location: United States or Canada Only >> Remote | Full-Time
Industry: AI-Native Decision Intelligence | SaaS | Data Analytics
**NOTE:** We are looking for senior-level experience, BUT if you’re a superstar graduate (OPT ok) who’s an AI badass and ready to prove it… APPLY.
About the Role
We’re looking for a **Senior ML & AI Systems Engineer** (or brilliant up-and-comer) to work directly with our Chief Data & AI Officer (Reinaldo Bergamaschi, PhD is a twenty year veteran of IBM's Watson Program) in advancing the intelligence and performance of our Decision Intelligence platform.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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In this role, you’ll refine and scale the machine learning and NLP systems that power SQOR.ai’s real-time analytical engine. Your work will directly influence how our AI learns, reasons, and responds — improving accuracy, latency, and contextual relevance across every decision surface.
This position demands both deep technical capability and practical execution. You’ll work across the full AI stack — model optimization, NL2SQL pipelines, causal and predictive models, multi-agent systems, and contextual retrieval — to make our AI smarter, faster, and more adaptive to the business context of each user.
About SQOR.ai
SQOR.ai is an **AI-native Decision Intelligence platform** that transforms business data into real-time, actionable insights — without infrastructure, dashboards, or data teams.
Our platform connects directly to the systems companies already use, automatically extracting and analyzing 800+ KPIs to deliver **instant answers, predictions, and recommendations**. Through our patented **Execution Score Algorithm**, SQOR.ai quantifies company health and performance across all operations, giving leaders and investors the same clear visibility — instantly.
We’re redefining how organizations make decisions by replacing the bloated legacy BI stack with an **agentic, autonomous layer of intelligence** that learns, predicts, and guides execution — in minutes, not months. And we've just announced a cosell partnership with Google whereby
The role offers approximately 1% to 2% of company equity, based on your involvement and contribution. This position represents a commitment to grow alongside our team of 18+ A players all here for equity. As we gain a little traction (pipeline of about $20MM is being put through the sales processes and many PoCs underway) and raise capital (expected late Q1 or early Q2), salaries will start to become available.
Key Responsibilities
Optimize ML & NLP Systems for Decision Intelligence
* Refine and deploy ML pipelines for accuracy, adaptability, and speed.
* Improve model performance, context handling, and retrieval mechanisms.
* Enhance inference efficiency using fine-tuning, quantization, and caching techniques.
* Collaborate closely with the Chief Data & AI Officer on continuous optimization and performance tracking.
Evolve NL2SQL & Query Intelligence
* Design and optimize natural language to SQL (NL2SQL) translation systems for dynamic query generation.
* Advance contextual query understanding across structured, semi-structured, and federated data.
* Develop schema-aware embedding and retrieval strategies that improve result precision and interpretability.
Advance Agentic AI & Multi-Agent Architectures
* Design and improve reasoning loops, context injection, and learning behaviors in multi-agent systems.
* Implement adaptive frameworks that enhance collaboration and task orchestration among agents.
* Work cross-functionally to ensure stability, performance, and adaptability in agent-driven analytics.
System Performance & Scalability
* Reduce latency and optimize system throughput for high-volume inference workloads.
* Implement distributed inference and load-balancing strategies for production scale.
* Collaborate with infrastructure engineers to ensure robustness, monitoring, and observability across ML and NLP pipelines.
Required Skills & Experience
* 7+ years of experience designing and optimizing ML and NLP systems in production environments.
* Deep understanding of causal inference, predictive modeling, and time-series analysis.
* Proven expertise in fine-tuning and deploying large language models (LLMs) efficiently.
* Advanced proficiency in Python and frameworks such as LangChain, LangGraph, or AutoGen.
