AI & Machine Learning Engineer
US FinTech client
RAG systems processing 10K+ daily queries at 95% accuracy. HIPAA-compliant medical chatbots handling 50K+ transcripts.
00 AI · ML · RAG
Hire an AI engineer who deploys to production— not just trains in notebooks.
Dedicated AI/ML engineers building RAG systems, intelligent agents, and production ML pipelines for US startups. No marketplace churn — engineers who stay.
01 · What this role does on your team
Embedded in your team, owning real production work.
- Builds and deploys RAG systems, LLM-powered features, and intelligent agents to production environments
- Designs ML pipelines — data ingestion, feature engineering, model training, evaluation, and serving at scale
- Implements vector databases (Pinecone, Weaviate, Chroma) and retrieval strategies for knowledge-intensive applications
- Fine-tunes models for domain-specific tasks and builds evaluation frameworks to measure accuracy in production
- Owns the full ML lifecycle — experiment tracking (MLflow, W&B), model versioning, A/B testing, drift detection
02 · What we vet for
We accept the top 2% — and we vet specifically.
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Production AI deployments — models serving real users with latency, accuracy, and cost constraints
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Understanding of RAG architecture beyond tutorial implementations — chunking strategies, hybrid search, reranking
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Experience with LangChain, CrewAI, or equivalent frameworks for agentic workflows
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Cloud ML infrastructure — SageMaker, Bedrock, or equivalent for training and serving
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Compliance awareness for AI in regulated environments — PHI in training data, audit trails for AI decisions
03 · Stack & tools
Production tooling, not tutorial setups.
- Python
- PyTorch
- LangChain
- CrewAI
- OpenAI API
- Pinecone
- FastAPI
- AWS SageMaker
- MLflow
- Hugging Face
- YOLO
- TensorFlow
04 · Proof points
Engineers from our active roster.
Senior DevOps & AI/ML Engineer
US HealthTech client
Intelligent agents with LangChain/CrewAI. AWS SA + ML Engineer + Terraform certified.
Lead AI/ML Engineer
Agentic AI · IEEE-published
Agentic AI for contact center operations with RAG, LangChain, LangGraph, Pipecat. IEEE-published.
AI & Computer Vision Engineer
Global FMCG client
Production computer vision with YOLO reducing detection time from 40s to 3.2ms.
9 AI/ML engineers on the roster with production deployment experience. · Browse the full roster →
05 · Compliance note
Built for regulated environments.
AI in HealthTech and FinTech requires careful handling — PHI in training data triggers HIPAA obligations, AI-generated outputs may constitute financial advice, and audit trails must capture which data influenced which decisions. Our AI engineers have built within these constraints.
AI engineering teams → · HealthTech engineering teams → · FinTech engineering teams →
06 · Pricing
Transparent monthly rates. No hidden fees.
Senior AI engineers from $3,500/mo. Staff level from $5,000/mo. Full rate card with all six tiers.
07 · Questions you're probably asking
What buyers want to know before they call.
08 Next step
Ready to build your
dream engineering team?
Tell us what you're building — roles, stack, compliance context. We'll come back with a shortlist of matched candidates to interview, and take the time to find the right fit, not just the fastest.