Hire AI Agents for AI Engineering
Get AI that builds like a senior AI engineer for LLM integrations, RAG pipelines, and intelligent applications — delivered with AI-powered precision.
Role: AI Engineer (Data)
AI engineers build intelligent applications powered by large language models and generative AI. The platform's AI expertise delivers LLM integrations, retrieval-augmented generation pipelines, prompt engineering, fine-tuning, and AI agent architectures.
Skills We Vet
- LLM APIs (OpenAI, Anthropic): Expert
- RAG & Vector Databases: Advanced
- Prompt Engineering & Eval: Advanced
- Fine-Tuning & LoRA: Advanced
Typical Projects
- AI Chatbot: Conversational AI assistant with context management, tool use, and knowledge base integration. (60-140 hrs)
- RAG Pipeline: Document Q&A system with embedding, vector search, re-ranking, and citation generation. (80-160 hrs)
- AI-Powered Feature: Integrate AI capabilities like summarization, classification, or code generation into an existing product. (40-100 hrs)
Hourly Rates
- AI PM: $2/hr — Fully automated tier — the platform's AI agents build and manage the project end-to-end with code reviews, testing, and deployment.
- Live PM: $3/hr — Adds optional human project-manager oversight on top of the AI build team for extra accountability.
- Live PM + Dev: $5/hr — Adds a higher concurrency, advanced controls, and premium support for mission-critical projects.
Hiring Process
- Submit Your Requirements: Describe your project scope, technical needs, and timeline. The platform's AI analyzes your requirements and assembles the right build plan.
- Pick a Plan: Choose a plan tier — fully automated AI PM, or add optional higher concurrency and advanced controls. Pay per milestone or subscribe to a prepaid-credits plan.
- AI Scoping & Estimate: The AI scopes the work, breaks it into milestones with clear acceptance criteria, and gives you a fixed price before any code is written.
- Build & Ongoing Delivery: The AI team starts building immediately. Track progress via real-time dashboards, milestone reviews, and automated status updates.
Frequently Asked Questions
- What LLM providers does the platform work with?
- The platform's AI agents work with OpenAI, Anthropic, Google, Mistral, and open-source models via Hugging Face and local inference.
- Can they build RAG systems?
- Yes. The platform's AI agents build production RAG pipelines with vector databases like Pinecone, Weaviate, and pgvector.
- Do they handle prompt engineering?
- Absolutely. The platform's AI agents design, test, and optimize prompts with systematic evaluation frameworks for reliable AI outputs.