Expertise
We focus on a defined set of technical disciplines. These are the areas where we look for talented professionals and where we can be most useful to companies seeking that talent.
AI & Machine Learning
We look for professionals who can design, train, evaluate, and improve machine learning systems. That includes applied work on models, data, and the surrounding application layer—not only research in isolation.
Representative skills
Python, PyTorch, TensorFlow, scikit-learn, NLP, computer vision, LLM application development, retrieval-augmented generation, evaluation, and MLOps tooling.
Professionals we look for
Machine learning engineers, applied AI engineers, and specialists who have built, deployed, or improved ML systems in real products or research settings.
Full-Stack Engineering
Full-stack engineers we speak with are comfortable working across the interface, API, and data layers of a product. We value people who can ship carefully, communicate tradeoffs, and keep systems understandable as they grow.
Representative skills
TypeScript, JavaScript, React, Next.js, Node.js, HTML, CSS, REST APIs, relational databases, and common cloud deployment workflows.
Professionals we look for
Full-stack developers and software engineers who can own features end to end and collaborate clearly with product and design counterparts.
Backend Engineering
Backend work is often where reliability is won or lost. We look for engineers who understand APIs, data stores, integrations, and the operational realities of running services.
Representative skills
Java, Kotlin, Python, Go, Node.js, REST and gRPC APIs, PostgreSQL, Redis, message queues, authentication, and service-oriented architecture.
Professionals we look for
Backend engineers who have designed or maintained APIs, data models, and the systems that sit behind production applications.
Data Engineering
Data engineers make information usable. We look for people who can move, model, and maintain data with care—so analysts, scientists, and product teams can depend on it.
Representative skills
SQL, Python, Spark, dbt, Airflow, warehouse platforms such as BigQuery, Snowflake, or Redshift, streaming pipelines, and data modeling.
Professionals we look for
Data engineers and analytics engineers experienced with pipelines, warehouses, and the quality of data that downstream teams rely on.
Cloud Engineering
Cloud engineers help teams ship and operate software with fewer surprises. We look for professionals who can build infrastructure that is documented, automated, and practical to maintain.
Representative skills
AWS, Google Cloud, Azure, Terraform, Kubernetes, CI/CD, containers, networking basics, observability, and infrastructure automation.
Professionals we look for
Cloud, platform, and DevOps engineers who have supported production environments and improved how software is deployed and operated.
AI Training
Strong AI systems depend on careful training data, evaluation, and feedback. We connect with specialists who can support those workflows with consistency and good judgment.
Representative skills
Data annotation, rubric design, model evaluation, quality review, prompt analysis, domain-specific labeling, and AI training operations.
Professionals we look for
AI training specialists, evaluators, and operations professionals who can improve model quality through structured review and high-quality data work.
Interested in Connecting?
If your experience overlaps with these areas, we would like to hear from you. Companies looking for talent in these disciplines are also welcome to get in touch.