The backlog exceeds available engineering time
You have priorities and technical direction but need more people to implement the work.
For engineering leads with a roadmap bigger than the team. Senior here means years of shipping software for clients in the US, Israel and Europe, not a job title. Everyone we propose has passed our four-stage hiring, CCAT included. You get a profile written for your role, with the projects that person actually worked on, and then you interview them yourself.
They work in your repo, your tracker and your review process, explain trade-offs in plain English and log hours per task where you can see them. A Pirxey program lead reviews their work, and if someone doesn't fit, replacing them is our problem, not yours.


You have priorities and technical direction but need more people to implement the work.
Routine implementation questions keep pulling your lead away from technical decisions. You need engineers who investigate the code, propose a solution and bring clear trade-offs to review.
Interim capacity while you hire, with a start date we confirm once the right people are available.
AI integration, DevOps, QA automation or mobile, or one person who can cover a bit of everything, for the months the phase lasts, not forever.
Not a pile of CVs. For each person we propose you get a profile matched to the job: the projects they worked on that look like yours, what they did there and the stack they used. Every line is something they can back up in your interview, and a trial task is yours if you want one.
Code and docs go through the same review as the rest of your team, so nothing lives only on our side. Hours are tracked per task and visible to you, with statuses daily at first and weekly once trust is there.
A CV review against the role, the CCAT cognitive test (80% of our crew score above the 90th percentile), a technical interview with two senior developers from the same field and a final talk with a lead. Your own interview comes on top of that.
Leads from our Frontend, Backend, Web and AI programs review their work and step in when something doesn't fit. Hiring isn't the end of it: product training, communication workshops and a monthly AI survey keep everyone learning.
They'll explain a trade-off to your founder without a wall of jargon, and they talk about users, deadlines and money, not only tickets. One client put it this way on Clutch: "They thought like product owners, not contractors."
Pick the shape you need. An AI-forward developer works with Claude Code, Cursor or Codex every day and still reads every line before it ships. A Swiss Army knife takes a feature from the database to the deploy and talks it through with your product people.

10+ years, including crypto products on EVM chains, with hands-on experience in the OpenAI API and machine learning.
Senior Full-Stack Engineer, AI

Deployed ML services for X-ray analysis on AWS ECS and optimized the architecture for lower latency. Wrote a Kubernetes operator that scales pods by queue length.
ML Platform Engineer

Builds retrieval on knowledge graphs with Neo4j, LangChain and vector databases, certified in graph-based generative AI, with scraping and ETL pipelines behind it.
Full-Stack Engineer, LLM and RAG

10+ years. Delivered generative AI in banking with Azure OpenAI, Semantic Kernel and Vertex AI, and works with GPT models and embeddings in Qdrant. Lead engineer of an AI product consultant.
LLM Engineer and Tech Lead
Fit the person to the responsibility
We start with the work an engineer will own and the support your team already provides. Then we come back with people who have already passed our own hiring, each with a profile written for your role. You meet them before onboarding, and the first assignment shows how they handle your codebase and your review.
Pirxey is a very communicative and caring team.

Walk us through the stack, the backlog and the decisions this person will make. We agree a first task, review expectations, overlap hours and who accepts the work, then send profiles with the projects each engineer worked on that match your case.

Meet the engineers who would actually join. Ask about the projects in their profile, what they built and which decisions were theirs, or give them a trial task. They've been through our technical interview already; this one is yours.

Access, environments and a first change in your tracker that goes through your development and review process.

A monthly look at what shipped, time per task, and whether to grow, shrink or change skills. Contracts have a notice period, not a lock-in.



How our engineers record AI use in every commit, so you can see how a person you add to your team works.
Read the briefWhat 77 people at Pirxey report each month about the AI tools they use, the hours gained and lost and what blocks them.
Read the briefHow to compare software companies, spot red flags and understand pricing models before you add their engineers to your team.
Read the articleWhy we hire for knowledge, speed of thought and careful reading, and what the CCAT tells us about the people we bring to your team.
Read the briefTell us the stack, responsibilities and review structure the person would join.
Mike KacprowiczBook a callChief Growth Officer