AI Developer Specializations

AI Developer Specializations We Place

From LLM integrations to computer vision — every AI engineering specialization, production-ready and available within 1 week.

LLM Application Engineers
Build GPT-5.5, Claude, and Gemini integrations, prompt engineering, structured output, function calling, streaming APIs, and multi-turn conversation systems.
GPT-5.5ClaudeLangChain$4,500/mo
RAG Pipeline Specialists
Vector database architecture, embedding strategy, hybrid retrieval, reranking, and RAGAS evaluation — RAG systems with near-zero hallucination rates.
PineconepgvectorLlamaIndex$5,000/mo
AI Agent Developers
LangGraph, CrewAI, and AutoGen specialists who build multi-step autonomous agents with tool use, web browsing, API integration, and human-in-the-loop oversight.
LangGraphCrewAIAutoGen$5,500/mo
ML/MLOps Engineers
PyTorch and scikit-learn engineers who fine-tune domain models (LoRA, QLoRA), build evaluation pipelines, and deploy models to production with MLflow and W&B.
PyTorchMLflowLoRA/QLoRA$6,000/mo
Computer Vision Engineers
YOLOv9 and SAM 2 specialists building object detection, image classification, OCR, and video analysis systems for manufacturing, retail, and security.
YOLOv9SAM 2TensorRT$6,000/mo
Voice AI & Speech Engineers
Whisper, ElevenLabs, and Deepgram specialists building real-time speech-to-text, voice assistants, and multi-language transcription with sub-500ms latency.
WhisperElevenLabsDeepgram$5,500/mo
Hiring Process

How Hiring an AI Developer Works

From discovery call to your AI developer shipping code — in 7 days. No recruiters, no agency markups, no 3-month onboarding timelines.

You Interview Every Engineer

We present pre-vetted profiles, but you run the final technical interview. You only proceed when you're confident in the engineer — same as an in-house hire, without the 3-month search.

01
Discovery Call
30-minute call to understand your AI requirements, current stack, and timeline. We identify the right specialization — LLM engineer, RAG specialist, ML engineer, or AI agent developer — and confirm the engagement model (retainer vs. project).
02
Engineer Match (48 Hours)
Within 48 hours we present 2–3 pre-vetted AI engineers with relevant project experience, technical assessment results, and a short video introduction. Full profiles — no agency hiding of names or CVs.
03
Technical Interview (Your Call)
You interview your matched engineer directly — same as hiring in-house. Ask technical questions, give a small problem, assess communication. We don't hide profiles or pitch unsuitable candidates. You decide.
04
Start Shipping (Day 7)
After match confirmation, your AI developer is onboarded to your tools (GitHub, Slack, Jira/Linear), completes environment setup, and ships the first production code within 7 days. No 3-month onboarding ramp-up.
AI Developer Pricing
LLM Engineer
$4,500–$5,500/mo
RAG Specialist
$5,000–$6,500/mo
ML Engineer
$5,500–$7,000/mo
AI Agent Dev
$5,000–$6,500/mo

All rates in USD. Month-to-month after 3-month minimum. 30-day cancellation notice. US AI engineers cost $150k–$250k/year — Codioo is 40–60% less.

Production AI Standards

What Production AI — Not Prototypes — Looks Like

Every Codioo AI developer ships to these standards. No Jupyter notebooks, no POCs that can't scale.

Latency Budgets Defined
P95 latency targets set before any model is selected or deployed
Evaluation Pipelines
RAGAS, BLEU, or custom eval suites before every deployment merge
Fallback & Retry Logic
Model fallback chains, exponential backoff, and graceful degradation
LLM Observability
LangSmith, Helicone, or Arize traces for every production LLM call
Cost Controls Built In
Token budgets, caching, and cost dashboards from the first sprint
Security Guardrails
Prompt injection protection, output validation, and PII redaction
Hire an AI Developer

Match with a Dedicated AI Developer

Tell us what AI system you need to build. We'll match you with the right specialization — LLM engineer, RAG specialist, ML engineer, or agent developer — within 48 hours.

Match in 48 Hours
Pre-vetted profiles with technical assessment results
You Run the Interview
Direct technical interview — same as hiring in-house
Start Shipping in 7 Days
Onboarded to your tools and shipping code within 1 week
Month-to-Month After 3 Months
No long-term lock-in, 30-day cancellation notice
First Sprint Guarantee

Not happy with your matched AI engineer after the first 2-week sprint? We replace them immediately at zero cost — no questions, no arguments.

Chat with our AI team now
Match Me with an AI Engineer
// 48-hour match · you run the interview · start in 1 week
FAQ

Common Questions About Hiring AI Developers

Everything startups ask before hiring a dedicated AI engineer. Ask us directly

Codioo AI developers range from $4,500–$7,000/month depending on specialization — LLM engineers at $4,500–$5,500, RAG/agent specialists at $5,000–$6,500, ML engineers at $5,500–$7,000. This is 40–60% less than equivalent US AI engineers at $150,000–$250,000/year salary. Month-to-month contracts with 30-day notice.
AI developers build LLM applications, RAG pipelines, and AI agents using foundation models (GPT-5.5, Claude) — focused on integration and prompt engineering. ML engineers train and fine-tune custom models using frameworks like PyTorch and scikit-learn — focused on model architecture and optimization. Many projects need both; Codioo provides both specializations.
Your dedicated AI developer can start within 7 days of contract sign-off. We match you within 48 hours, you run a technical interview, and upon confirmation we begin onboarding immediately. No recruitment agency fees, no months-long job posting, no probation period — just a senior AI engineer in your Slack within a week.
Yes. Every Codioo AI developer has shipped real production AI systems — not just Jupyter notebooks or prototypes. Our AI team has built RAG systems serving 10,000+ daily queries, LLM agents handling $1M+ in automated transactions, and computer vision systems running at sub-100ms latency on production hardware.
Yes. We offer both dedicated long-term retainers (3-month minimum, then month-to-month) and project-based AI development (fixed scope, fixed price). For startups building a first AI feature, we recommend starting with a 4-week project sprint — a bounded engagement that delivers a working AI system before committing to a longer retainer.
Ready to Hire a Dedicated AI Developer?

Tell us what you need to build. We'll match you with the right AI engineer in 48 hours — LLM, RAG, ML, or agent specialist — and you'll be shipping production AI within 1 week.