AI Engineer - AI/LLM (Backend) | Pakistan
Apply NowOverview
We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.
This is not a junior role — candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.
You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability.
Key Responsibilities
-
Build and ship AI-powered features (chatbots, copilots, automation tools)
-
Design and implement RAG pipelines using embeddings and vector search
-
Write and optimize prompts and system instructions
-
Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems
-
Develop backend services (Python / Node.js) to support AI workflows
-
Work with real-world data (documents, logs, APIs)
-
Improve system reliability through evaluations, testing, and iteration
-
Debug issues such as hallucinations, latency, and cost inefficiencies
-
Collaborate closely with founders and product team on product direction
Requirements
-
2+ years of experience in Machine Learning or AI-related roles
-
Strong coding skills in Python or JavaScript
-
Hands-on experience working with LLM APIs
-
Experience building RAG pipelines or agent-based systems
-
Solid understanding of ML fundamentals (fine-tuning is a plus)
-
Proven ability to build and ship production-ready systems
Tech Stack
-
Python, Node.js
-
OpenAI / Anthropic APIs
-
Vector databases (Pinecone, Chroma)
-
React / Next.js
-
AWS / Vercel
-
LangChain / LlamaIndex
-
Prompt engineering
-
Embeddings + vector search
-
API design and backend systems
Nice to Have
-
Experience with LLM evaluation, fine-tuning, or model optimization
-
Exposure to agent frameworks or multi-step reasoning systems
-
Domain experience in finance, healthcare, legal, or other high-accuracy environments
What we Offer
-
Salary: PKR 150,000 - PKR 400,000 PKR/month (based on experience and alignment with role expectations)
-
Opportunity to own and shape a meaningful internal product
-
Collaborative, low-bureaucracy environment
-
Exposure to cutting-edge AI and automation technologies