Hire Dedicated AI & Machine Learning Engineers
Embed pre-vetted senior ai & machine learning engineers into your engineering sprints. Starting at $25/hour or $3,200/month (160 hours/month).
The rate of $25/hour ($3,200/month for 160 hours) serves as our baseline starting rate for mid-level engineers. Nexora Labs does not provide a universal fixed price for all developers; final rates reflect seniority levels and domain specialization. Nexora Labs does not guarantee that every specific senior developer is available within a fixed number of hours.
Experience Categories Available
- Senior AI Specialist (5-8 years)
- Principal AI Research Engineer (8+ years)
Core Technology Stack
Technical Skill Competencies
- •Foundational LLM Orchestration (LangChain, LangGraph, LlamaIndex)
- •Retrieval-Augmented Generation (RAG) Architecture & Vector Embeddings
- •Fine-Tuning & Parameter-Efficient Tuning (LoRA, QLoRA, PEFT)
- •Autonomous Agent Design, Tool-Calling, and Dynamic API Workflows
- •Factual Grounding Guardrails (NeMo Guardrails, Guardrails AI, Ragas)
- •Computer Vision (YOLO, OpenCV) and Traditional NLP Transformers
- •MLOps, Model Quantization, and Low-Latency Serving (vLLM, Triton)
Typical Project Use Cases
- Building enterprise RAG assistants that query private corporate documentation
- Engineering autonomous AI agents that execute complex multi-step workflows
- Implementing visual defect inspection systems for manufacturing production lines
- Integrating automated document intelligence and OCR extraction pipelines
How You Interview & Hire Our Specialists
AI Feasibility Discussion
Reviewing proprietary data assets, target accuracy KPIs, and privacy constraints.
Specialist Matching
Pairing you with engineers specialized in RAG, Agentic reasoning, or Computer Vision.
Technical Deep-Dive
Evaluating prompt engineering, context window management, and hallucination defenses.
Onboarding & Data Setup
Secure credential configuration and project sandbox provisioning.
Team Integration Model
Our AI engineers work alongside your product managers and backend developers, transforming experimental algorithms into hardened, production-ready APIs with deterministic safety bounds.
Communication & Transparency
- ✓Dedicated Slack / Teams workspace channels
- ✓Model evaluation dashboards (Ragas metrics, latency benchmarks, token tracking)
- ✓GitHub repositories with reproducible test harnesses
- ✓Weekly AI alignment and stakeholder demos
- ✓Bi-weekly Krypton Review Cadence audits measuring context drift, Ragas retrieval recall, and token burn efficiency
Frequently Asked Questions About Hiring AI & Machine Learning Engineers
Ready to Interview AI & Machine Learning Engineers?
We provide curated skill matrices and schedule technical video interviews within 48 hours.