Expertise

The skills behind today's hardest hires

Six practice areas, each led by engineers who still write code. We screen for what the role actually needs, not a keyword match.

01 AI & Machine Learning

Move AI from demo to production

Most AI projects stall between the prototype and the release. Our AI engineers have shipped LLM features to real users: retrieval pipelines that return the right answer, agents that call your systems safely, and models that are monitored after launch.

Roles

  • AI/LLM Engineer
  • Generative AI Engineer
  • Machine Learning Engineer
  • MLOps Engineer
  • AI Solutions Architect
  • Data Scientist

Skills and stack

LLM APIs and open models RAG and vector databases (pgvector, Pinecone, Weaviate) Agent frameworks (LangGraph, LlamaIndex) PyTorch Hugging Face MLflow Model evaluation and guardrails AWS Bedrock, Azure OpenAI, Vertex AI
02 Python Engineering

The language AI runs on

Python is the most requested skill in tech hiring. Our Python engineers build the APIs, data services and automation that sit behind AI products and internal platforms.

Roles

  • Python Back-end Engineer
  • Python Data Engineer
  • Automation Engineer
  • Technical Lead

Skills and stack

FastAPI Django Flask Celery asyncio Pandas and Polars PostgreSQL Redis pytest Docker
03 Java Engineering

Modern Java for systems that can't go down

Banks, insurers and health systems still run on Java, and many are moving off Java 8 monoliths. Our Java engineers build Spring Boot microservices, modernize legacy code and keep high-volume systems fast.

Roles

  • Java Back-end Engineer
  • Spring Boot Developer
  • Java Modernization Engineer
  • Java Architect

Skills and stack

Java 17 and 21 Spring Boot Spring Cloud Kafka Hibernate/JPA REST and gRPC JUnit Kubernetes Spring AI
04 Cloud, DevOps & Platform

Infrastructure your engineers don't have to think about

Our cloud and platform engineers automate environments, cut cloud spend and give developers a reliable path to production.

Roles

  • Cloud Engineer
  • DevOps Engineer
  • Site Reliability Engineer
  • Platform Engineer

Skills and stack

AWS Azure GCP Kubernetes Terraform GitHub Actions Argo CD Prometheus and Grafana Go
05 Data Engineering

Clean data in, trusted answers out

AI is only as good as the data under it. Our data engineers build pipelines, warehouses and lakehouses that analysts and models can rely on.

Roles

  • Data Engineer
  • Analytics Engineer
  • Databricks Developer
  • Snowflake Developer

Skills and stack

SQL Spark Databricks Snowflake dbt Airflow Kafka BigQuery
06 Cybersecurity & Quality

Ship fast without opening new risks

Security engineers protect cloud workloads, identities and AI systems. QA automation engineers make sure every release does what it should.

Roles

  • Cybersecurity Engineer
  • Cloud Security Engineer
  • Application Security Engineer
  • SDET / QA Automation Engineer

Skills and stack

IAM and zero trust AWS and Azure security SIEM Threat modeling OWASP Playwright Selenium Cypress

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