Hire an AI Developer from Pakistan
Hire a dedicated AI developer from Pakistan — LangChain, RAG pipelines, OpenAI integrations, and n8n automation. 70–85% below UK and AU rates.
Monthly rate
$1,800 – $3,200
Full-time / month · USD
Western equivalent: ~$8,000/mo
Save up to 60% vs AU / UK / US hire
Contract & NDA included
Exclusive to your account
Onboard in 7 business days
Part-time available
Why Codalyst Tech
A company hire, not a freelancer
Your AI Developer works under a Codalyst Tech company contract , NDA, IP assignment, and a clear escalation path are included as standard.
Formal company contract and NDA , not a freelancer arrangement
Exclusive assignment: your developer does not split time across clients
Pre-vetted and interview-approved before you commit to onboarding
Fully onboarded within 7 business days of contract signing
Cost comparison
What does a AI Developer cost?
US / UK / AUS market
~$8,000
per month, full-time
- Standard market rate
- Usually on-site or local remote
- Freelance or agency overhead
Via Codalyst Tech
$1,800 – $3,200
per month, full-time
- Company contract & NDA included
- Exclusive assignment to your account
- Save up to 60% vs Western rates
Rates are indicative. Actual rate depends on seniority and engagement length. No hidden fees.
Role details
What does a dedicated AI Developer do?
An AI developer at Codalyst Tech designs and ships production AI features: RAG pipelines that answer questions over proprietary documents, LLM-powered automation that replaces manual workflows, and multi-agent systems that orchestrate complex decision chains. They bridge the gap between AI research concepts and production engineering discipline — understanding both what models can do and what is needed to keep them reliable, cost-efficient, and auditable in a live product under real user load.
- Design and implement RAG pipelines: document chunking, embedding model selection, vector store indexing, retrieval reranking, and grounded prompt construction
- Write and iterate on system prompts with few-shot examples, chain-of-thought instructions, and structured output format constraints
- Build LLM evaluation frameworks using RAGAS or custom scoring functions to measure retrieval quality and answer faithfulness
- Implement multi-agent workflows with LangGraph or CrewAI for orchestrating specialised agents on complex multi-step tasks
- Manage AI operational costs with prompt caching, model tiering, token budget enforcement, and per-workflow spend monitoring
- Integrate AI APIs securely with rate limiting, retry handling, output validation, and full audit logging of model interactions
Scope of work
What your AI Developer will build
- RAG (Retrieval-Augmented Generation) pipelines that answer questions over company documents, PDFs, and knowledge bases with source citations
- AI customer support bots with conversation memory, escalation routing, and CRM integration via n8n or Make automation
- LLM evaluation frameworks that score model outputs for accuracy, safety, and relevance using automated test suites
- Multi-agent workflows with LangGraph or CrewAI that orchestrate specialised AI agents for complex multi-step business tasks
Vetting process
How we screen AI Developer candidates
RAG architecture depth
Can design a complete RAG system: document chunking strategy, embedding model choice, vector store indexing, retrieval ranking, and prompt construction for grounded generation.
Prompt engineering rigour
Writes system prompts with few-shot examples, chain-of-thought instructions, and output format constraints. Tests prompts against adversarial and edge-case inputs.
Evaluation methodology
Uses RAGAS, TruLens, or custom eval frameworks to measure retrieval precision, answer faithfulness, and contextual relevance — not just eyeballing outputs.
LLM cost management
Implements prompt caching, token counting, model tiering (GPT-4o for complex tasks, GPT-4o-mini for classification), and monitors spend per workflow.
Interview guidance
Interview questions to ask your AI Developer
A RAG chatbot confidently gives wrong answers because the retrieved context is irrelevant. How do you fix it?
Why ask: Tests retrieval quality debugging: hybrid search, reranking, query rewriting, and chunk size tuning.
How would you build an AI agent that can browse the web, query a database, and send emails — reliably?
Why ask: Reveals tool-use architecture, error recovery strategy, and agent observability with tracing.
How do you prevent a customer-facing LLM from going off-topic or revealing internal system data?
Why ask: Tests knowledge of system prompt guardrails, output filtering, and Constitutional AI approaches.
Frequently asked questions
- How much does it cost to hire an AI developer from Pakistan?
- Dedicated AI engineers through Codalyst Tech cost USD 1,800–3,200/month full-time, versus USD 7,000–10,000/month in the UK or Australia.
- What AI technologies do your developers specialise in?
- Our AI engineers work with LangChain, LlamaIndex, OpenAI GPT-4 and Claude APIs, vector databases (Pinecone, pgvector, Qdrant), RAG pipelines, and n8n for low-code automation. We build custom AI agents, chatbots, and document intelligence tools.
- Can your AI developers build custom RAG pipelines?
- Yes. RAG (Retrieval-Augmented Generation) pipelines are one of our core competencies. We design the embedding strategy, vector store, retrieval logic, and prompt engineering for document Q&A, customer support bots, and internal knowledge tools.
- Do you build AI automation without code using n8n?
- Yes. For clients who want AI-powered workflows without heavy engineering cost, we build n8n automations that connect OpenAI or Claude to Slack, CRMs, email, databases, and webhooks — often achieving the same outcome at a fraction of the build cost.
Ready to hire an AI Developer?
Send us your requirements and timezone. We present matched candidates and onboard within 7 business days.