What LLM providers do your AI engineers work with?

Our engineers work with OpenAI, Anthropic, Google, Mistral, and open-source models via Hugging Face and local inference.

Can they build RAG systems?

Yes. Our AI engineers build production RAG pipelines with vector databases like Pinecone, Weaviate, and pgvector.

Do they handle prompt engineering?

Absolutely. Our engineers design, test, and optimize prompts with systematic evaluation frameworks for reliable AI outputs.

Hire an AI Engineer

Get a pre-vetted AI engineer for LLM integrations, RAG pipelines, and intelligent applications — delivered with AI-managed precision.

Role: AI Engineer (Data)

AI engineers build intelligent applications powered by large language models and generative AI. Our vetted AI talent 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 — AI agent manages the project end-to-end with automated code reviews, testing, and deployment.
Live PM: $3/hr — A human project manager coordinates your project with AI-augmented development workflows.
Live PM + Dev: $5/hr — Dedicated human PM plus senior developer oversight for mission-critical projects.

Hiring Process

Submit Your Requirements: Describe your project scope, technical needs, and timeline. Our AI analyzes your requirements and identifies the ideal skill profile.
AI-Matched Talent Selection: Our platform matches you with pre-vetted developers whose expertise aligns with your tech stack, industry, and project complexity.
Technical Vetting & Trial: Review candidate profiles, past work, and skill assessments. Start with a small paid trial task to validate the fit before committing.
Kick-off & Ongoing Delivery: Once confirmed, your developer is onboarded immediately. Track progress via real-time dashboards, milestone reviews, and daily stand-ups.

Frequently Asked Questions

What LLM providers do your AI engineers work with?: Our engineers work with OpenAI, Anthropic, Google, Mistral, and open-source models via Hugging Face and local inference.
Can they build RAG systems?: Yes. Our AI engineers build production RAG pipelines with vector databases like Pinecone, Weaviate, and pgvector.
Do they handle prompt engineering?: Absolutely. Our engineers design, test, and optimize prompts with systematic evaluation frameworks for reliable AI outputs.