"How much does an AI developer cost in 2026?" The honest answer is: it depends on which of five wildly different jobs you're actually buying. A 2-week LLM wrapper is not the same engagement as a 6-month production RAG system, and paying senior fine-tuning rates for a simple GPT integration is an expensive mistake.
TL;DR: Scope your AI engagement into one of five scenarios first, then price the engineering. Below are realistic 2026 rate ranges per scenario across India, remote-EU, UK and US markets.
Scenario 1 — LLM wrapper MVP (2–6 weeks)
You want a chatbot, summariser or classifier that wraps an existing API (OpenAI, Anthropic, Gemini) with some prompt engineering, basic auth, and a polished UI.
- India senior via Krapton: $18–$26/hr × 80–240 hours = £1,300–£5,000 all-in.
- Remote EU senior: €45–€75/hr = £3,500–£14,000.
- UK senior contractor: £500–£650/day = £8,000–£20,000.
- US senior: $140–$220/hr = £11,000–£40,000+.
For this scope, India or remote EU wins on ROI. Paying US senior rates for a wrapper is value destruction.
Scenario 2 — Production RAG system (8–14 weeks)
Real retrieval over your documents, chunking strategy, re-ranker, eval harness, monitoring, cost controls, multi-tenant if needed.
- India dedicated team via Krapton: $25–$38/hr blended over 2 engineers + QA = £35,000–£70,000 total.
- Remote EU dedicated team: £80,000–£150,000.
- UK consultancy: £150,000–£300,000.
- US boutique: £200,000–£500,000+.
RAG is where quality-of-vetting dominates — a good India team ships a better RAG than an unproven US boutique. Reference-check hard.
Scenario 3 — Fine-tuned model (3–6 months)
You fine-tune a smaller open model (Llama 3, Gemma, Mistral) on your proprietary dataset, with evaluation, deployment and ongoing iteration.
- India specialist via Krapton: $30–$50/hr × ~1,200 hours = £28,000–£46,000 engineering; add £10–£50k for training compute.
- Remote EU ML engineer: £90,000–£170,000 engineering + compute.
- UK ML contractor: £180,000–£320,000 engineering + compute.
- US ML specialist: £250,000–£600,000+ engineering + compute.
Fine-tuning has a real skill ceiling; underpaying here often means spending more later to undo the work.
Scenario 4 — Agentic workflow (4–8 weeks for MVP, 3–6 months for production)
Multi-step agent with tool use, memory, eval, guardrails, and human-in-the-loop. Typical stack: LangChain / LlamaIndex / custom orchestration + Temporal or similar for durability.
- India dedicated via Krapton, MVP: £15,000–£35,000.
- India dedicated via Krapton, production: £50,000–£110,000.
- UK consultancy, production: £180,000–£400,000.
- US boutique, production: £250,000–£600,000+.
Scenario 5 — On-prem / private-cloud inference (2–4 months)
You need the model running inside your VPC for compliance, data-residency or latency reasons. Typical work: vLLM / TGI deployment, GPU orchestration on Kubernetes, observability, cost tuning.
- India specialist via Krapton: $35–$55/hr × ~800 hours = £22,000–£44,000 engineering.
- Remote EU MLOps: £70,000–£150,000.
- UK consultancy: £150,000–£300,000.
- US specialist: £250,000–£500,000+.
GPU compute is a separate line item and often dwarfs engineering cost — budget 2–3x engineering cost for compute in the first year.
Hidden cost: evaluation
The single most-underpriced line item in 2026 AI engagements is evaluation. A RAG or fine-tuned system without an eval harness is faith-based engineering. Budget 10–20% of engineering time for eval — automated retrieval metrics, response-quality scoring, regression tests. Teams that skip this inevitably pay for it 3x later in production firefighting.
Engagement model that fits AI work
AI projects are notoriously hard to fixed-price because retrieval / model quality is emergent. We recommend hourly T&M for the first 8 weeks (discovery + prototype), then rolling into dedicated monthly once the system shape stabilises. Avoid fixed-price on anything with an R&D component.
FAQ
What's the cheapest real AI engagement?
An LLM wrapper MVP from a reputable India team typically comes in under £5,000. Anything lower is usually a freelancer cutting corners on security, auth or prompt injection defences.
How do I compare a £40k RAG quote to a £200k RAG quote?
Ask for: the eval-harness plan, the monitoring story, the chunking strategy, and two reference clients willing to take your call. Delta in price should correlate with delta in these four.
Are US-based AI engineers worth the premium?
Only when you need regulated on-site presence or specific research depth. For most product AI work, a well-vetted India or EU team delivers equal quality at 20–40% of the cost.
Next step
Tell us which of the 5 scenarios matches your project and we'll give you a fixed quote in 48 hours. Explore Krapton's AI development services, hire LangChain engineers, hire TensorFlow engineers, or book a call via our consultation page.