Hire technically evaluated AI and machine learning engineers for your team. We help companies recruit permanent and contract AI/ML engineers across machine learning, Generative AI, LLM applications and MLOps through targeted sourcing and engineering-led evaluation.
Whether you're building a long-term AI engineering team or need specialised machine learning expertise for a defined initiative, we support both hiring models.
Recruit AI and machine learning engineers who join your company as full-time employees and contribute to long-term AI product and platform development.
Extend your team with technically vetted contract AI/ML engineers who contribute to machine learning, LLM applications, AI integration and production engineering.
We help companies hire permanent and contract AI/ML engineers across machine learning frameworks, LLM application stacks, data infrastructure and model deployment technologies.
Don't see your AI/ML technology stack listed? We support other AI and machine learning technologies too. Discuss your requirements ↗
Strong AI/ML engineers need to understand data, models, software engineering and the challenges of building reliable AI systems beyond demonstrations and prototypes.
Experience using LLM APIs or machine learning libraries does not necessarily demonstrate model evaluation, data understanding or production engineering capability.
Assessing ML fundamentals, LLM applications, data pipelines, deployment and model performance requires relevant technical expertise.
Companies need engineers who can build reliable AI applications, evaluate outputs, manage cost and latency, and integrate systems into real workflows.
Our hiring approach combines targeted sourcing with technical evaluation guided by former CTOs and experienced engineering leaders.
We look beyond AI-related keywords to understand candidates' practical engineering experience, depth in relevant AI/ML technologies and ability to solve real product and infrastructure challenges.
Evaluation is tailored to the specific role, whether it involves traditional machine learning, Generative AI applications, AI infrastructure or MLOps.
Python, data structures, machine learning concepts, model selection and practical implementation.
Data preparation, training, validation, evaluation metrics, error analysis and model performance.
Prompt engineering, RAG, embeddings, model integration, output evaluation and LLM application design.
Data processing, feature engineering, pipeline design, data quality and reproducibility.
Model serving, monitoring, versioning, deployment workflows, inference performance and reliability.
Translating business problems into technical solutions, evaluating trade-offs and handling real-world AI constraints.
Share your AI/ML requirements and let our team help you identify relevant engineering talent.
A structured hiring process with role-specific technical evaluation built into candidate selection. Contract engagements follow a tailored onboarding process.
Understand your AI use case, product, data environment, technical stack and hiring needs.
Align on required AI/ML skills, engineering experience, evaluation criteria and role scope.
Identify relevant AI/ML engineers through targeted outreach, engineering networks and referrals.
Assess technical capability, practical AI/ML experience, engineering judgement and alignment with the role.
Share a focused shortlist for your team's technical interviews and hiring decisions.
Support final selection, offer coordination and the appropriate joining or onboarding process for the engagement.
Whether you're hiring permanent machine learning engineers or adding contract AI expertise, we tailor the engagement to your technical and hiring requirements.
Our permanent recruitment model is success-based, while contract engineering engagements offer flexible capacity based on the agreed scope and duration.
Add technically vetted AI and machine learning engineers to your existing team through flexible contract engagements. Engineers contribute within your agreed technical scope and workflows for the engagement duration.
Whether you need permanent machine learning talent or contract AI engineering capacity, find technically evaluated engineers aligned with your AI use cases, technology stack and team requirements.
Discuss Your AI/ML Hiring Needs ↗