Our Bench
A Bench Built for What You're Actually Building.
Every engineer has shipped production AI. We specialise in four disciplines that matter most to growth-stage companies.
LLM & GenAI Engineers
What they build
RAG pipelines, LLM fine-tuning, agentic AI, prompt engineering at scale, LLM evaluation
Stack
OpenAI / Anthropic APIs, LangChain, LlamaIndex, Pinecone, ChromaDB, FastAPI
Rate$9,000–$13,000/month
MLOps & AI Infrastructure
What they build
Model deployment pipelines, ML monitoring, feature stores, model versioning, cost optimisation
Stack
MLflow, Kubeflow, SageMaker, Vertex AI, Airflow, Kubernetes, Terraform
Rate$7,000–$10,000/month
Applied ML Engineers
What they build
Recommendation systems, forecasting, NLP pipelines, computer vision, A/B testing infra
Stack
PyTorch, TensorFlow, HuggingFace, XGBoost, Scikit-learn, Spark
Rate$4,500–$8,000/month
Data Engineers with ML Exposure
What they build
ETL/ELT pipelines, data lake architecture, real-time streaming for ML, feature engineering
Stack
dbt, Spark, Kafka, Snowflake, BigQuery, Airflow
Rate$4,000–$6,500/month
Vetting Standard
We don't send you CVs. We send you engineers.
- 90-minute live technical interview
- Production project walk-through with real specifics
- GitHub and employment verification
- Paid test task relevant to specialisation
- Communication and remote-work readiness assessment
12–15
Active Engineers
6 Yrs
Avg Experience
Bengaluru & Hyderabad
Talent Hubs
2-Week
Availability