Hire developers · AI & LLM

Hire AI developers and LLM engineers

Add LLM engineers, agentic systems developers, ML and MLOps engineers or an AI solutions architect to your team. Our engineers have shipped document AI, AI support agents and agentic platforms to production.

8
AI roles on our rate card
From $36/hr
Indicative 2026 rates
1 day
Resumes, availability and rates
In short

You can hire AI developers from MappOptimist on a monthly rolling basis: AI/ML engineers, LLM engineers, agentic systems developers, AI solutions architects, ML data engineers, MLOps engineers, AI consultants and computer vision engineers. They work with RAG, agent frameworks, fine-tuning, vector search and evaluation. Our 2026 rates run from $36/hr to $60/hr by role and experience.

01

Why teams hire AI developers from us

An AI prototype that never reaches production

The demo works, but retrieval quality, evaluation, cost, latency and guardrails stand between it and real users.

Few people who have shipped LLM systems

Engineers who have built RAG, tool-calling agents and evaluation pipelines in production are hard to find and slow to hire.

Your ML models need operating, not just training

Deployment, monitoring, retraining and data pipelines are what keep models useful, and they need dedicated engineers.

02

AI roles you can hire

LLM engineers

LLM applications with RAG and retrieval, prompt and context design, fine-tuning and LoRA, vector search, and evaluation against real data.

Agentic systems developers

Tool-using agents and multi-agent workflows with LangChain, LangGraph and similar frameworks, with guardrails and human approval where it matters.

AI/ML engineers and data scientists

Predictive models, NLP and classification, recommendation systems and multimodal AI in Python with PyTorch, TensorFlow and scikit-learn.

MLOps and ML data engineers

Model deployment, monitoring and evaluation pipelines, plus feature engineering and the data pipelines that feed your models.

Computer vision engineers

OCR and document extraction, as used in our document AI work, plus image analysis and on-device models.

AI architects and consultants

AI solutions architects and AI consultants who define the use case, architecture, data needs and evaluation plan before the build.

03

How hiring works

1

Share the requirement

Tell us the AI role, skills, experience, start date, duration and the working hours you need covered.

2

Profiles in one business day

We confirm who is available and send resumes with the hourly rate for each profile within one business day.

3

Interview and choose

You interview the shortlisted engineers and approve the person you want before anyone starts.

4

Onboard in about a week

The engineer joins your tools, standups and delivery process. Average onboarding for a vetted engineer is about a week.

04

Ways to hire

Individual experts

One or more AI engineers who join your team on a monthly rolling basis and work under your direction.

Dedicated team

A cross-functional squad with a team lead that owns delivery alongside you, for sustained roadmaps.

Managed pod

A fully managed pod that delivers a defined scope against the outcomes you set.

05

AI engineering rate card

All 8 roles from our 2026 AI / Agentic Systems rate card, in USD per hour.

Role2-3 years4-6 years6+ years
AI/ML Engineer$38/hr$45/hr$52/hr
LLM Engineer$40/hr$48/hr$55/hr
Agentic Systems Developer$38/hr$45/hr$52/hr
AI Solutions Architect$44/hr$52/hr$60/hr
ML Data Engineer (AI/ML Pipelines & Feature Engineering)$36/hr$42/hr$48/hr
MLOps Engineer$38/hr$45/hr$52/hr
AI Consultant / Business Analyst$36/hr$42/hr$48/hr
Computer Vision Engineer$38/hr$45/hr$52/hr

Rates are indicative and confirmed per engagement scope, duration and resource availability.

06

AI skills we cover

LLMs and agents
OpenAI / Claude / Gemini APIsLangChainLangGraphLlamaIndexRAGHugging Face
Machine learning
PythonPyTorchTensorFlowscikit-learnComputer visionNLP
MLOps and data
MLflowFastAPIDockerKubernetesAWS SageMakerPinecone / Weaviate / Qdrant
08

Frequently asked questions

How much does it cost to hire an AI developer?

On our 2026 rate card an LLM Engineer is $40/hr with 2-3 years of experience, $48/hr with 4-6 years and $55/hr with 6+ years. An AI/ML Engineer or Agentic Systems Developer is $38/hr, $45/hr and $52/hr, and an AI Solutions Architect is $44/hr to $60/hr. Rates are indicative and confirmed per engagement scope, duration and resource availability.

What AI work have your engineers done?

Our published AI case studies include an agentic AI platform that completes enterprise workflows under human oversight, AI customer-support agents for a logistics and e-commerce enablement platform, and document intelligence pipelines for banking and shipping documents.

How quickly can an AI engineer start?

We confirm availability and send resumes and rates within one business day. After you interview and approve an engineer, average onboarding is about a week. Highly specialised AI roles can take slightly longer, and we tell you the timeline up front.

Will the engineer work in our time zone?

We match working hours to your team wherever possible, so engineers can join standups and reviews. Tell us the overlap you need with the requirement.

Can you build the AI system for us instead?

Yes. Alongside staff augmentation we deliver AI agents and document AI systems as managed projects. See our AI agent development and document AI pages.

Hire AI developers

Tell us the role, the system you are building and the start date. We will send resumes and rates within one business day.