Remote Opportunity - Talent Factory - AI Consultants

Summary

Join Talent Factory: We're Hiring AI Consultants Across Every Discipline. Emagine is building a vetted, ready-to-deploy pool of AI consultants, and we want you in it. This isn’t a search for one role; it’s an open door across nine AI workstreams. Wherever your strength lies, there’s a place for you here.

Responsibilities

• Chatbots & AI Assistants (RAG) specialists: Connect LLMs to knowledge bases and documents to build accurate, production-grade Q&A assistants.
• AI Agents builders: Create autonomous, tool-calling AI that takes action, not just responds.
• MLOps / LLMOps engineers: Deploy, monitor, and keep AI systems running reliably in production.
• LLM Fine-tuning / Model Training specialists: Customize and train models on company-specific data.
• AI Systems & Platform Architects: Make whole-system design calls and own the trade-offs across components.
• AI Safety, Risk & Governance experts: Manage compliance, audit rigor, and responsible-AI oversight.
• Traditional ML practitioners: Build classic predictive models, classification, and forecasting solutions.
• Computer Vision engineers: Build image and video detection, recognition, and classification pipelines.
• Audio & Speech specialists: Work across speech-to-text, voice pipelines, and audio processing.

Key Requirements

• Experience with cloud platforms: AWS, Azure, or Google Cloud.
• Proficiency in your modality: text-only, images, audio, or multi-modal.
• Real-world application of AI on projects at various experience levels (L1, L2, L3).

Nice to Have

• Experience working independently on production solutions.
• Ability to design architecture and mentor others.
• Specialization in any one of the specific AI workstreams mentioned.

Other Details

This role offers flexibility in working arrangements, with opportunities for remote engagements. Suitable for various experience levels, the positions are designed to adapt to the candidate's skill set while contributing significantly to the ongoing projects across multiple fields of AI.