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MojoTech Tech Stack

AI and data engineering consulting for product companies

IT Services and IT Consulting Providence, RI 51–200 employees Founded 2008 Privately Held

MojoTech is a consulting firm built around ML infrastructure and generative AI. The tech stack shows heavy investment in data pipelines (Spark, Airflow, Snowflake, AWS Glue), model training (PyTorch, TensorFlow, Hugging Face, SageMaker), and monitoring (Prometheus, Grafana) — a pattern that matches their active project mix: RAG systems, LLM integration, model fine-tuning, and AI agent development. Hiring is accelerating with a 6-4-1 engineering-to-data-to-design split, and pain points center on cloud cost management and AI system reliability, suggesting they're scaling delivery beyond proof-of-concept stages.

Tech Stack 43 technologies

Core StackRAG Kubernetes Snowflake AWS Python TypeScript Java PySpark PyTorch TensorFlow Hugging Face Prometheus Grafana Ruby on Rails Elixir Node.js AWS Glue AWS Lambda Redshift Databricks Apache Airflow SageMaker Apache Spark Git Android iOS Kinesis AWS Step Functions CI/CD SQL+13 more

What MojoTech Is Building

◆Challenges

Optimizing cloud resource utilization
Solving biggest technology challenge
Operational cost management of ai infrastructure
Scalability and reliability of ai systems
Improving internal design processes

▲Active Projects

Monitoring and alerting solutions for ai models
Scalable data pipelines using aws services and python
Generative ai integration with llms and rag architectures
End-to-end ai models and agents
Large-scale data processing solutions
End-to-end ai system development
Model fine-tuning with custom data
Improving internal design processes
Self-contained projects
Experimenting with new technologies

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering

6

Data

4

Design

1

Product

1

Seniority

Senior

6

Mid

5

Intern

1

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About MojoTech

MojoTech is a software and design consulting firm founded in 2008, based in Providence, RI, with 51–200 employees. The firm works with product and mid-market companies on custom software development, digital products, and data engineering projects. Core service areas include strategy and design, AI/ML systems, fintech solutions, and cloud infrastructure (AWS, Databricks). Recent project work centers on generative AI integration, LLM-based RAG architectures, monitoring and alerting for ML models, and large-scale data processing pipelines. The team operates across engineering, data, design, and product disciplines.

HeadquartersProvidence, RI

Company Size51–200 employees

Founded2008

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does MojoTech use?

Core: Python, TypeScript, Java, SQL, AWS (Glue, Lambda, SageMaker, Kinesis). Data: Spark, PySpark, Snowflake, Redshift, Databricks, Airflow. ML: PyTorch, TensorFlow, Hugging Face. Infrastructure: Kubernetes, Prometheus, Grafana.

What is MojoTech working on?

Generative AI and ML systems: RAG architectures, LLM integration, end-to-end AI agents, model fine-tuning. Data infrastructure: scalable pipelines on AWS, large-scale Spark processing. AI ops: monitoring and alerting for production models.