Machine Learning Engineers
Responsibilities: build, train & deploy production ML models.
- Skills: model development, optimization, deployment.
- Tech: PyTorch, TensorFlow, AWS SageMaker.
Elite AI talent, ready to build
Scale your engineering team with pre-vetted AI professionals—available for permanent placement or embedded augmentation.
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Vetted AI professionals
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Available Roles
The specialists we place
Every candidate is technically vetted and matched to your stack, domain, and culture.
Generative AI Engineers
Responsibilities: design LLM apps, copilots & RAG systems.
- Skills: RAG, agents, evaluation, guardrails.
- Tech: LangChain, OpenAI, Claude, vector DBs.
LLM Engineers
Responsibilities: integrate, fine-tune & optimize language models.
- Skills: fine-tuning, prompt design, cost control.
- Tech: Hugging Face, PEFT, inference servers.
Prompt Engineers
Responsibilities: craft & evaluate high-performing prompts.
- Skills: prompt design, evals, chaining.
- Tech: LLM APIs, eval frameworks.
AI Architects
Responsibilities: design scalable, secure AI system architecture.
- Skills: system design, security, scalability.
- Tech: cloud-native, microservices, Kubernetes.
Data Scientists
Responsibilities: extract insight & build predictive models.
- Skills: statistics, experimentation, modeling.
- Tech: Python, R, SQL, scikit-learn.
Computer Vision Engineers
Responsibilities: build image & video intelligence systems.
- Skills: detection, segmentation, OCR.
- Tech: OpenCV, YOLO, PyTorch, ONNX.
NLP Engineers
Responsibilities: build text understanding & search systems.
- Skills: classification, NER, embeddings.
- Tech: transformers, spaCy, vector search.
MLOps Engineers
Responsibilities: operationalize & monitor models in production.
- Skills: CI/CD, monitoring, drift detection.
- Tech: MLflow, Kubeflow, Docker, K8s.
Python Engineers
Responsibilities: build AI backends, APIs & data tooling.
- Skills: backend, APIs, performance.
- Tech: FastAPI, async, PostgreSQL.
Data Engineers
Responsibilities: build reliable, scalable data pipelines.
- Skills: ETL, streaming, data quality.
- Tech: Spark, Airflow, dbt, Snowflake.
Need a specific skill set?
Tell us what you're building and we'll match the right expert.
Request TalentHiring Process
How placement works
A fast, rigorous process that gets the right expert onto your team quickly.
1
Discovery Call
We learn your goals, stack, timeline, and team culture to define the ideal profile.
2
Curated Shortlist
Within days you receive a shortlist of vetted candidates matched to your needs.
3
Technical Vetting
Every candidate has already passed our technical and communication assessments.
4
Interview & Select
You interview finalists and choose the best fit—no obligation until you do.
5
Onboard & Deliver
We handle onboarding logistics so your new expert is productive from day one.
Build your AI team faster
Tell us what you need and we'll deliver a shortlist of vetted AI professionals within days.