LLM applications and copilots
Build LLM-powered features and copilots into your product, designed around how people work.
Hire senior AI/ML engineers, embedded in your team
AI/ML engineers who build LLM apps, RAG pipelines and ML systems into your product. They work your hours, join your standups and stay. 40–60% below US rates.
Book a call
A short call about your roadmap and the roles you need.
Senior AI/ML engineer
Typical profile, matched to your stack
- Python
- PyTorch
- LLMs
- RAG
- Works in your timezone
- Joins your team, not a ticket queue
- 40–60% below US rates
40–60%
below US rates, at senior level
3,500+
ready, pre-vetted profiles
2–4 weeks
from first call to a productive team
Companies that trusted us
See their projectsWhat they own
What a senior AI/ML engineer owns
RAG and knowledge bases
Connect models to your documents and data through retrieval pipelines your team can maintain.
Agents and automation
Design multi-agent systems and AI workflows, with human review where the process needs it.
Specialized models
Apply computer vision, NLP and fine-tuning when an off-the-shelf model isn't enough.
Integrations
Connect AI features to your APIs, tools and data through clean integrations and middleware.
Production readiness
Take AI features from prototype to production inside your existing stack and release process.
Skills and stack
AI/ML engineering skills and stack
Language
ML & LLM frameworks
Data & serving
Cloud & tooling
How we vet
How we vet senior engineers
Strict technical and attitudinal filters, so the engineers you meet are already aligned with your role, your stack and your team.
- 01
Technical depth
We assess the seniority your role needs: how they design, decide and own work.
- 02
Attitude and team fit
We filter for how people communicate, collaborate and own their work inside a team.
- 03
Aligned with your role
Only candidates who match what you need reach you, so your time goes to real options.
3,500+
ready, pre-vetted profiles
Three ways to hire a senior AI/ML engineer
Staff Augmentation
Add senior engineers to your team, working under your leads, in your sprints and tools.
Explore Staff AugmentationDedicated Team
Build a full pod around one product, sourced and managed by us.
Explore Dedicated TeamsEnd-to-End Delivery
Hand us a product or feature, and we own it from architecture to deployment.
Explore End-to-End DeliveryFAQ
Hiring AI/ML engineers with us
What stack do your AI/ML engineers work with?
Digital Beings' AI/ML engineers work with Python; PyTorch, TensorFlow, scikit-learn, LLMs, RAG and Multi-agent systems; Pandas, Apache Spark, FastAPI and MLflow; and AWS SageMaker, Google Vertex AI, Azure ML, Docker and Kubernetes. Share your stack, and Digital Beings matches engineers who know it.
Can an AI/ML engineer join our existing team?
Yes. A Digital Beings AI/ML engineer joins your standups, uses your tools and works under your leads, like any member of your team.
Do you also hire backend developers?
Yes. Digital Beings staffs both roles. AI/ML features run on solid backend services, so you can add either as individual engineers or as one team.
How fast can an AI/ML engineer start?
A productive AI/ML engineer can be on your team in 2–4 weeks. Digital Beings draws from 3,500+ ready, pre-vetted profiles, so you skip the months-long search. You interview the shortlist, and on a call Digital Beings confirms the plan for your role.
What does a senior AI/ML engineer cost?
Digital Beings' rates for a senior AI/ML engineer are 40–60% below US rates. The exact rate depends on seniority and stack, and Digital Beings walks you through it on a call.
