Question 1

How quickly can I hire an AI Engineer contractor on consultant.dev?

Accepted Answer

AI Engineer contractor roles typically fill within 1-2 weeks, though specialist profiles (LLM fine-tuning, multimodal AI, RAG architecture) may take 2-3 weeks. Specifying the AI stack (OpenAI, Anthropic, open-source LLMs, vision models) and deployment context (API integration, production ML pipeline, edge) will attract the right profile quickly.

Question 2

What should I look for when hiring an AI Engineer contractor?

Accepted Answer

Assess production AI deployment experience, not just experimentation. Strong AI engineers can demonstrate end-to-end pipelines: data preparation, model selection, prompt engineering or fine-tuning, API integration, and observability. For LLM engineering roles, RAG architecture, vector database experience (Pinecone, Weaviate, pgvector), and evaluation framework knowledge are key differentiators. Python proficiency, cloud platform familiarity, and MLOps practice are near-universal requirements.

Question 3

What contract structures work for AI Engineer contractors?

Accepted Answer

AI Engineer contractor engagements typically run 3-9 months. LLM integration and AI feature development projects run 3-6 months. Production ML system builds and AI platform engineering run 6-12+ months. Proof-of-concept and feasibility projects can be scoped to 4-8 weeks. The AI tooling landscape changes rapidly, build in architecture review checkpoints and ensure knowledge transfer is planned from the start of the engagement.

Location	Active contracts
Hybrid	1,904
Remote	530
United Kingdom	1,714
Ukraine	799
United States	675

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