Top 3% Vetted Talent

Hire Pre-Vetted AI & Machine Learning Developers

Hire senior AI and machine learning developers skilled in Generative AI, Large Language Models (LLMs), RAG pipelines, fine-tuning, PyTorch, and autonomous agents. Deploy pre-vetted AI engineers in 48 hours with a 2-week risk-free trial.

Mutual NDA & 100% IP Ownership
2-Week Risk-Free Trial
Technical code review and sprint planning for AI & Machine Learning Developers
Matching Time 24 - 48 Hours
Rate Guide $38 - $58/hr
Timezone Overlap 4+ Hours (US/EU)
Trial Guarantee 14 Days Risk-Free

AI & ML Technical Skills & Competencies

Our engineers are rigorously assessed across core language fundamentals, production frameworks, database optimization, and cloud architecture.

Core Competencies

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Model Fine-Tuning (LoRA/QLoRA)
  • Vector Databases & Embeddings
  • Natural Language Processing (NLP)
  • Computer Vision & Deep Learning

Frameworks & Libraries

  • LangChain & LlamaIndex
  • PyTorch & TensorFlow
  • Hugging Face Transformers
  • OpenAI & Claude API Integration
  • vLLM & Ollama Inference
  • FastAPI AI Microservices

Tools, Cloud & Databases

  • Pinecone, Weaviate & Qdrant
  • MLflow & Weights & Biases
  • Docker & GPU Cloud (NVIDIA/CUDA)
  • LangSmith & Prompt Evaluation
  • PostgreSQL pgvector
  • AWS SageMaker & Azure OpenAI

Sample AI & ML Developer Profiles Available Now

Review anonymized profiles from our active bench. Real experience highlights, sanitized case studies, and transparent contractual rates.

AK

Lead AI & LLM Systems Architect

8+ Years Experience • Vetted Top 3%

Specializes in enterprise RAG architectures, local LLM deployment, and agentic workflows using LangGraph and Pinecone. Previously scaled medical document processing AI for a US healthcare SaaS.

LangGraph PyTorch vLLM pgvector Claude API
RV

Senior Machine Learning Engineer

6+ Years Experience • Vetted Top 3%

Expert in predictive modeling, tabular machine learning, and computer vision pipelines using PyTorch and FastAPI. Proven track record in fraud detection and real-time inference.

FastAPI TensorFlow HuggingFace AWS SageMaker Docker
PS

Full-Stack AI Application Engineer

5+ Years Experience • Vetted Top 3%

Bridges generative AI models with modern React and Next.js user interfaces. Specializes in streaming token responses, prompt engineering, and semantic search.

OpenAI API Next.js LlamaIndex Weaviate TypeScript

How We Screen AI & ML Candidates

Every candidate must pass live architecture challenges, algorithmic problem-solving, and professional English communication reviews before we share their resume with you.

1

Live Technical Evaluation

"How do you mitigate hallucination and latency in multi-step Retrieval-Augmented Generation (RAG) pipelines?"

Evaluated by Senior Solutions Architect
Live code walk & stress-case debugging
2

Live Technical Evaluation

"What criteria do you use to choose between fine-tuning a small open-source model (e.g. Llama 3) vs. prompt engineering a frontier model (e.g. GPT-4/Claude)?"

Evaluated by Senior Solutions Architect
Live code walk & stress-case debugging
3

Live Technical Evaluation

"How do you architect GPU resource allocation and batching in high-throughput production inference systems?"

Evaluated by Senior Solutions Architect
Live code walk & stress-case debugging

AI & ML Staffing FAQs

Common questions regarding hiring, integrating, and managing our AI & ML engineers.

What AI frameworks and models do your developers work with?
Our developers are proficient with OpenAI, Anthropic Claude, open-weight models (Llama 3, Mistral, DeepSeek), LangChain, LangGraph, LlamaIndex, PyTorch, vLLM, and vector databases like Pinecone, Qdrant, and pgvector.
Can your AI developers integrate LLMs with our proprietary internal data?
Yes. We design secure, air-gapped or VPC-compliant RAG architectures, role-based access control (RBAC) vector search, and custom embedding pipelines so your proprietary data is never leaked or used for public training.
How do you handle GPU infrastructure and hosting costs?
Our AI engineers optimize token utilization, cache frequent queries, and select cost-efficient quantization (e.g. AWQ/GGUF) to run inference on cost-optimized cloud instances, reducing API or GPU spend by 40-70%.
Can we test an AI developer before hiring full-time?
Yes. Every engagement includes a 2-week risk-free trial. You evaluate their code, prompt architectures, and velocity on your active tasks with zero financial risk.

Hire Dedicated AI & ML Developers

Tell us about your technical requirements, desired seniority, and project timeline. We will send you vetted AI & ML profiles within 24 to 48 hours under mutual NDA.

Matching Time: 24 to 48 business hours
Guarantee: 2-Week Risk-Free Trial Period

Request AI & ML Profiles

Receive pre-screened developer resumes matching your stack.

🔒 Mutual NDA included. 100% IP ownership. No spam.

Hire AI & ML Developers

Receive 2-3 pre-vetted AI & ML resumes within 48 hours under mutual NDA.