Hire AI Developers

The cost depends on the developer’s role, seniority, engagement model, team size and project duration. Requirements involving complex data pipelines, model training, security or production infrastructure may require additional specialists.

You can receive relevant, vetted developer profiles within 48 hours of sharing clear requirements. The final start date depends on interviews, selection, agreements and access required for onboarding.

Lucent matches each requirement with developers who have relevant technical and project experience. Before selection, you can review their skills, seniority, technology experience and previous delivery responsibilities.

Yes. You can interview shortlisted engineers and assess their technical knowledge, problem-solving approach, communication and experience with use cases similar to yours before making a selection.

Engineers are evaluated for technical knowledge, practical problem-solving, production-delivery experience and communication. Vetting is aligned with the required role, whether you need ML, LLM, NLP, computer vision, data science or MLOps expertise.

Lucent offers AI developers for hire across machine learning, LLM and GenAI engineering, NLP, computer vision, data science and MLOps. The recommended role or team depends on your use case, existing systems and delivery stage.

Yes. You can hire dedicated AI developers who work within your tools, stand-ups, sprint cycles and reporting structure. You can start with one engineer and add other specialists as the project grows.

Yes. Engagements can include planned time-zone overlap with teams in the USA for stand-ups, technical discussions and delivery reviews. The required working hours should be agreed upon before onboarding.

Communication follows your preferred tools and delivery process. Depending on the engagement, this can include sprint planning, task tracking, regular progress updates, weekly demonstrations and technical reviews.

You retain ownership of the source code, deliverables and project IP created under the engagement. Ownership terms, repository access, documentation and handover responsibilities are defined in the agreement.

Lucent can sign an NDA before sensitive information is shared. Project access can be managed through approved repositories, role-based permissions and client-defined security practices based on the system and data involved.

The 7-day risk-free trial allows you to evaluate technical performance, communication and team compatibility. If the fit is not suitable, the engagement can be reviewed and an alternative profile considered according to the agreed terms.

Yes. You can add or reduce specialists as requirements change, subject to availability and engagement terms. A dedicated developer can also be expanded into a cross-functional team covering AI, data engineering, MLOps or application development.

Lucent supports dedicated developers or teams, project-based delivery, hourly or time-bound support and hybrid engagements. Minimum commitment depends on the selected model, project scope and specialist availability.

Our engineers support AI assistants, RAG systems, AI agents, recommendation engines, forecasting, document processing, computer vision, workflow automation, custom models and model integrations with existing business systems.

Yes. Post-launch support can include issue resolution, model monitoring, performance and cost optimization, drift detection, retraining, security updates and improvements based on production feedback.