Hire AI/ML
Hire dedicated AI / ML developers.
Engineers who take AI features from a working prototype to something that holds up with real users, real inputs and a real budget.
What You Get
What sets these engineers apart.
Retrieval quality taken seriously
Chunking, embedding choice and reranking. Most disappointing RAG systems fail at retrieval, not at the model.
Evaluation before shipping
A graded evaluation set from real queries, so a prompt or model change can be measured rather than argued about.
Cost and latency modelled
Per-request economics projected before launch, with caching and model routing where quality allows it.
Core Skills
What they work with.
- LLM integration with Claude and OpenAI
- RAG pipelines and vector databases
- LangChain, LlamaIndex and direct SDK work
- Evaluation harnesses and regression tracking
- Prompt versioning and A/B testing
- Guardrails, PII handling and fallbacks
Engagement
$3,500 / month
Per AI/ML engineer, 160 hours per month, fully dedicated. Deployed within 48 business hours, scale up or down on two weeks' notice, full IP ownership from the first commit.
FAQ
Common questions.
Do we need our own model?
Usually not. Most product requirements are met by a strong general model with good retrieval and prompting. Fine-tuning is worth it for narrow, high-volume, well-defined tasks.
How do you control inference costs?
Caching, routing simpler queries to smaller models, trimming prompt overhead and batching where latency permits. All measured rather than assumed.
Can they work with our data science team?
Yes, and that is the common arrangement. They handle the product and infrastructure layer while your team stays on models and data.
Get In Touch
Tell us what you are building.
Stack, team size, timeline, and what success looks like. We respond within 4 business hours on business days.
Or email info@nimlogixtechnologies.com