DevelGuru
ENSK

We build your AI team from scratch.

We specialize in ML, LLM, MLOps engineers, AI Product Managers, research leads, and founding roles. Monthly retainer (Guru model) or success-fee headhunting - senior AI engineers from CEE at a fraction of US rates, EU timezone, GDPR-ready, English-fluent.

Book a 20-min call →Request a quote

Roles we recruit.

ML Engineer

Production-grade machine learning model development: training, evaluation, and deployment to production, not just PoC.

LLM / RAG Engineer

LLM integration, prompt engineering, RAG system design, fine-tuning, and LLM-native architectures.

MLOps / LLMOps Engineer

Deployment, monitoring, and infrastructure for ML systems: CI/CD for models, feature stores, serving layers.

AI Product Manager

Bridging product, engineering, and AI capabilities: product discovery, AI feature roadmap, stakeholder management.

AI Research Lead

Research direction, paper-to-product translation, research team leadership: experimentation, publications, applied research.

Forward-Deployed Engineer

Customer-facing AI integration, technical bridge between product and client, implementation engineering.

Data Engineer (AI-focused)

Data pipelines, data quality, and platforms for AI systems: feature engineering, data warehouses, streaming.

AI CTO / Founding Engineer

Early-stage AI org building: technical architecture, stack selection, growing an engineering team from zero.

Teams we've built.

Insynaps: a full AI team, CEO included

AI Consulting
Our partner Insynaps needed to launch an AI practice from zero. We hired the CEO, CTO, and founding engineering team. Most of those hires are still there two years later.

Simona Biosystems: a research team from zero

AI Research
An AI research team for molecular dynamics and protein design. ML engineers and a research lead, remote-first. Closed in months, not quarters, and every hire is still with them.

How we build an AI team.

  1. 1

    Week 0: Intake

    We understand your stack, culture, and AI use case. We define roles, seniority levels, must-haves, and dealbreakers for every position in the team.

  2. 2

    Weeks 1–4: Sourcing

    We search for all key roles in parallel. Active outreach to ML/AI engineers in our CEE database, network, and referral channels.

  3. 3

    Weeks 5–9: Shortlist + interviews

    Final client interviews, technical screening, and calibration sessions. You receive a ranked shortlist with detailed notes on every candidate.

  4. 4

    Weeks 10–12: Close + onboarding

    Offers, signatures, day one. Offer negotiation, counteroffer defense, and onboarding handover.

Frequently asked about AI Hiring.

Looking for non-AI senior roles?

We're not AI-only. AI is our strongest card, but we also place senior backend, frontend, fullstack, DevOps, SAP and tech lead roles.

Recruiter on retainer →Headhunting →IT Contracting →

How pricing works.

Pricing reflects scope, seniority and number of roles. We'll send a custom quote within one business day.

Request a custom quote →View all models and pricing factors

Ready to talk through your next hire?

20 minutes, no pitch deck. We work out whether this is the right engagement for you.

Book a 20-min call →