Hire AI engineers through consulting-led matching — RAG architects, ML engineers, LLM developers, computer vision engineers, prompt engineers, Azure OpenAI specialists, Copilot Studio developers, and AI solution architects. Pre-qualified AI engineers from 200+ delivery partners, evaluated through scenario-based technical interviews by our AI consulting domain experts. 4.3-day average to first curated profile.
Hire AI engineers who've shipped production systems. The difference between a notebook prototype and a production AI system is vast: model serving infrastructure, monitoring, drift detection, A/B testing, guardrails, and the engineering discipline that keeps models accurate after deployment. Our AI engineer matching evaluates for production experience — not just model accuracy on test datasets.
AI engineers we source: RAG architects — retrieval-augmented generation systems connecting LLMs to enterprise knowledge bases. ML engineers — end-to-end model training, feature engineering, MLOps pipelines. LLM engineers — Azure OpenAI application development, prompt engineering, fine-tuning. Computer vision engineers — image classification, object detection, video analytics. AI solution architects — enterprise AI strategy, platform selection, architecture design.
4.3-day average to first curated profile. 92% first-match acceptance rate. Pre-qualified ai engineers from 200+ delivery partners — sourced through relationships, not job boards.
Pre-qualified ai engineers across every specialization — browse roles or send us a requirement.
Pre-qualified, deployment-ready rag architect sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready machine learning engineers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready ai architect sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready prompt engineers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready computer vision engineer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready llm engineers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready ai & copilot specialists sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready ai solutions architect sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready copilot studio developer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready azure openai engineer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready generative ai engineers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Technical skill requirements, domain experience, team dynamics, project context — we understand what you actually need, not just the job title.
200+ pre-qualified delivery partners with 5,000+ specialists. We source from proven relationships, not job boards.
Scenario-based technical interview by our domain experts. We evaluate how specialists solve problems, not just what they know.
Curated profiles in 4.3 days average. You interview. You decide. Zero commitment until you're convinced.
4.3-day average to first curated profile. For urgent backfills, we've delivered within 48 hours. Our network of 200+ delivery partners means we source from existing relationships, not job boards.
Mid-level through principal/architect. Most placements are senior (5-10 years) or lead (8-15 years). We don't place juniors — our consulting-led matching process is designed for specialists who contribute from week one.
4-stage consulting-led matching: skill assessment, scenario-based technical interview (not quiz questions — real problem scenarios), reference verification, and domain-specific evaluation. 92% first-match acceptance rate.
Staff augmentation (your team lead, our specialist), project delivery (our team, your requirements), or managed capacity (standing agreement for ongoing needs). 3-18+ month engagements. Scale up or down as needs change.
Hire AI engineers who build production AI systems — RAG, LLM, ML, computer vision, and Copilot specialists deployed through consulting-led matching.