AI/ML Talent
AI is transforming every industry. Our AI/ML engineers build production-grade AI systems — from chatbots and recommendation engines to computer vision and custom LLM integrations.
Every ai/ml engineers we place has been vetted for production-level expertise across these core competencies.
AI/ML engineers understand model selection, tuning, and deployment — not just API calls. They build RAG pipelines, fine-tune models, and design for latency and cost. Generic devs can wire ChatGPT; AI specialists make it reliable and scalable.
Document ingestion, vector search, and LLM integration with retrieval-augmented generation for accurate answers.
Embeddings, similarity search, and ranking models for personalized suggestions or semantic search.
Image classification, object detection, or OCR with model serving and batch inference.
Every AI/ML developer passes our multi-stage assessment: AI/ML-specific coding challenges, system design review, code quality audit, and cultural fit evaluation. Only the top 3% of applicants make it through. You interview pre-qualified ai/ml engineers — not resumes.
We present 2-3 qualified ai/ml engineers within 48 hours of your request. Our network includes 250+ AI/ML specialists with 4+ years average experience — no waiting weeks for recruiters to source candidates.
Our ai/ml engineers join your Slack, your standups, and your AI/ML codebase. They follow your coding standards, use your CI/CD pipeline, and attend your sprint ceremonies — fully embedded in your engineering team from day one.
We're not just a staffing agency — we've built 23+ production products including Agiled, Chatsy, and Morphed. Our ai/ml engineers bring that hands-on AI/ML production experience to your team, not just textbook knowledge.
Only 3% of applicants make it through. Every ai/ml engineers we place has passed all four stages.
We review AI/ML project history, GitHub contributions, open-source work, and production deployments to verify hands-on AI/ML experience.
Timed coding challenges covering Python / TensorFlow / PyTorch, OpenAI API / LangChain, RAG & Vector Databases — plus system design problems that test real-world AI/ML architecture decisions.
A 60-minute live coding session where candidates build a feature using AI/ML alongside our senior engineers — testing code quality, debugging skills, and communication.
Soft skills evaluation focused on async communication, sprint collaboration, and the ability to integrate into your existing engineering team from day one.
Choose the model that fits your project needs. No long-term contracts — scale up or down as your project demands.
A ai/ml developer works exclusively on your project, 40 hours/week. Best for ongoing product development and long-term projects.
20 hours/week of dedicated ai/ml development. Ideal for startups, maintenance, or projects that don't need full-time capacity.
Fixed-scope ai/ml development with a defined timeline and deliverables. Best for specific features, migrations, or MVPs.
Multiple ai/ml developers join your existing team. Best for scaling quickly when you need to ship faster.
Beyond hiring ai/ml engineers, we offer these related services:
Common questions about hiring ai/ml engineers
We present 2-3 pre-vetted ai/ml engineers within 48 hours. After you interview and select, developers can start within 3-5 business days.
Get matched with pre-vetted ai/ml engineers in 48 hours. No long-term contracts. Replacement guarantee.