
Staff Augmentation
Scale your AI/ML capabilities without traditional hiring overhead. TensorLabs provides battle-tested engineers proficient in PyTorch, TensorFlow, LangChain, SageMaker, Claude Code, Cursor, and modern MLOps stacks. They integrate into your team and deliver from day one, starting at $2,500/month with zero recruitment fees and 24-hour onboarding.
Overview
Scale your AI and machine learning capabilities without the overhead of traditional hiring. TensorLabs provides battle-tested engineers proficient in PyTorch, TensorFlow, LangChain, AWS SageMaker, Claude Code, Cursor, and modern MLOps stacks. They integrate directly into your team and start delivering from day one, starting at just $2,500/month with zero recruitment fees and 24 hour onboarding.
Why TensorLabs for Staff Augmentation
Finding skilled AI/ML talent is one of the biggest bottlenecks in building intelligent products. Traditional hiring
cycles take 3 to 6 months, cost thousands in recruitment fees, and still carry the risk of a bad fit. TensorLabs
eliminates this friction entirely.
Our staff augmentation model gives you access to a curated bench of engineers with deep expertise across the
AI/ML spectrum, from classical machine learning and statistical modeling to cutting edge LLM integration, RAG
pipelines, agentic workflows with LangGraph, and vibe coding with tools like Claude Code, Cursor, and Lovable.
Every engineer goes through our rigorous vetting process covering technical depth, communication skills, and
production readiness. With 80+ projects shipped across fintech, healthcare, logistics, geospatial analytics, and
SaaS, our engineers don't just write code. They understand product context, business constraints, and what it
takes to ship AI systems that work in the real world.
Pricing That Makes Sense
Hiring a full time AI engineer in the US or Europe costs $150,000 to $250,000 per year before benefits and overhead. With TensorLabs, you get the same caliber of talent starting at $2,500/month
No recruitment fees. No placement charges. No long term contracts required.
Pay only for engineering time. That is roughly 20% of what you would spend on a full time hire in Western
markets, with the flexibility to scale up or down as your project demands change.
Try risk free. If the engineer is not the right fit within the first two weeks, we replace them at no additional cost.
Core Technical Competencies
- Machine Learning and Deep Learning, PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM,
CatBoost. Classification, regression, clustering, anomaly detection, time series forecasting
- Large Language Models and Generative AI, OpenAI GPT-4o, Claude, Llama 3, Mistral, Phi-3. Fine tuning,
prompt engineering, RAG pipelines with LangChain and LlamaIndex, agentic systems with LangGraph and
CrewAI
- Computer Vision, YOLOv8, Detectron2, OpenCV, SAM (Segment Anything), Vision Transformers, image
segmentation, object detection, video analytics, OCR with Tesseract and PaddleOCR
- Natural Language Processing, Transformers, spaCy, NLTK, sentiment analysis, named entity recognition,
document understanding, conversational AI
- MLOps and Infrastructure, AWS SageMaker, Lambda, Step Functions, Docker, Kubernetes, MLflow, Weights
and Biases, CI/CD for ML pipelines
- Modern Dev Tools, Claude Code for autonomous coding, Cursor IDE for AI assisted development, Lovable for
rapid MVP prototyping, Windsurf, v0 by Vercel, Bolt.new
- Voice AI and Telephony, Vapi, Retell AI for building production grade voice agents, real time speech to text, text
to speech pipelines, telephony integrations
- Data Engineering, Apache Spark, Airflow, dbt, PostgreSQL, OpenSearch, Redis, ETL pipeline design, real time
data processing
- Full Stack AI Integration, FastAPI, Next.js 15, React, Node.js, Supabase, end to end from model training to
production API deployment
How It Works
- Share Your Requirements, Tell us the role, tech stack, and project context. We match you with the right engineer
profile within hours
- Meet Your Engineer, Interview pre-vetted candidates. We handle all the screening so you only meet engineers
who fit your technical and cultural requirements
- Onboard in 24 Hours, Once selected, your engineer integrates with your team, tools, and workflows immediately.
No administrative overhead
- Scale Up or Down, Need more capacity? Add engineers. Project winding down? Scale back. Full flexibility with no
long term commitments
Engagement Models
Dedicated Engineers, Full time engineers embedded in your team, working your hours, attending your
standups, using your tools. They become an extension of your engineering org.
Project Based Teams, A self contained TensorLabs squad (engineer + lead) that owns delivery of a defined
scope. Ideal for POCs, MVPs, and feature sprints.
Flexible Hours, Part time or hourly engagement for ongoing advisory, code reviews, or specialized tasks that
don't need a full time resource.
Why Companies Choose TensorLabs
- From $2,500/month, Top tier AI/ML talent at a fraction of Western market rates. Zero recruitment fees, zero
placement charges
- Production Ready Engineers, Every engineer has shipped real AI products. Not just theoretical knowledge,
actual deployment experience with modern tools like Claude Code, Cursor, and production ML stacks
- AI First Expertise, 75 to 80% of our work is artificial intelligence. This is not a side offering, it is our core DNA
- Always Current, Our team actively uses and builds with the latest tools: LangGraph for agentic AI, Vapi and
Retell for voice agents, Lovable for rapid prototyping, Claude Code for autonomous development
- Global Client Experience, Engineers experienced working with US, European, and MENA based startups and
enterprises across multiple time zones
- 98% Client Satisfaction, Backed by transparent communication, honest timelines, and consistent delivery quality
- Risk Free Trial, Free replacement within the first two weeks if the engineer is not the right fit
