Volga Partners
At a glance: Volga Partners is hiring a mid-level AI Engineer (AI/LLM Backend) for its Islamabad office. The role pays Rs 150,000 to Rs 400,000 per month, follows a hybrid pattern of three days in the office and two days remote, and centres on building and shipping production-ready AI features such as chatbots, copilots and automation tools. Candidates need at least three years of experience in machine learning or AI roles and hands-on skill with large language model APIs.
Last date to apply: no fixed closing date is published — the listing is open until filled, so apply as soon as you are ready. The role is listed as live on multiple job boards as of 3 November 2026.
| Detail | What the listing says |
|---|---|
| Organisation | Volga Partners |
| Post | AI Engineer — AI/LLM (Backend), mid-level |
| Location | Islamabad (E-11/3 office; hybrid — 3 days in office, 2 days remote) |
| Salary | Rs 150,000 – Rs 400,000 per month, based on experience |
| Experience | 3+ years in machine learning or AI-related roles |
| Employment type | Full-time |
| How to apply | Through the live job listing (Built In) — see How to Apply below |
What the Volga Partners AI Engineer Role Involves
Volga Partners describes itself as a global leader in generative AI innovation, with a workforce of more than 3,000 professionals across several countries. Its teams design intelligent systems, custom large language model applications and automation tools for clients in finance, healthcare, legal and technology work. The Islamabad AI Engineer sits inside that product work: you build AI-powered features end to end, from the first prototype to a system running reliably in production.
The day-to-day work is practical rather than theoretical. You will design and implement retrieval-augmented generation (RAG) pipelines using embeddings and vector search, write and optimise prompts and system instructions, and integrate language model APIs from providers such as OpenAI and Anthropic into real products. You will also build the backend services in Python or Node.js that carry those AI workflows, work with real-world data such as documents, logs and APIs, and improve reliability through evaluation, testing and iteration.
Skills and Experience Required for the AI Engineer Post
This is explicitly not a junior role. The listing states that candidates must have hands-on experience delivering production-ready AI solutions and the ability to execute independently in a fast-paced environment. The minimum bar is three years of experience in machine learning or AI-related roles, strong coding skills in Python or JavaScript, hands-on experience with language model APIs, and experience building RAG pipelines or agent-based systems. A solid understanding of machine learning fundamentals is required, and fine-tuning experience is a plus.
The published technology stack gives a clear picture of the toolkit: Python and Node.js; OpenAI and Anthropic APIs; vector databases such as Pinecone and Chroma; React and Next.js; AWS and Vercel; LangChain and LlamaIndex; prompt engineering; embeddings and vector search; API design and backend systems. Nice-to-have strengths include experience with language model evaluation, fine-tuning or model optimisation, exposure to agent frameworks or multi-step reasoning systems, and domain experience in finance, healthcare, legal or other high-accuracy environments.
Salary, Work Pattern and Why This Role Stands Out
The advertised salary band is wide — Rs 150,000 to Rs 400,000 per month — and the listing says the final figure depends on experience and alignment with the role’s expectations. The hybrid pattern is also worth noting. Three days a week in the E-11/3 office in Islamabad and two days remote gives a balance that pure on-site roles do not offer, while keeping the close collaboration the listing emphasises with founders and product teams.
Documents and Preparation Checklist
Before you apply, gather the following so your application reads as the work of a production engineer, not just a course completer:
- An updated CV that names the AI systems you shipped to production, with the models, tools and measurable outcomes for each.
- Links to a GitHub profile or portfolio showing RAG pipelines, chatbot or copilot projects, or agent-based systems you built.
- A short note on the language model APIs you have used in production and the problems you solved, such as latency, cost or hallucination control.
- Evidence of backend work in Python or Node.js, including APIs and services that supported an AI workflow.
How to Apply for Volga Partners AI Engineer Jobs 2026
Open the live job listing for the AI Engineer (AI/LLM Backend) post for Pakistan, read the full description, and submit your application through that listing. Because no closing date is printed, treat the vacancy as open until filled and apply promptly.
Fraud warning: Volga Partners hires through its published job listings and never asks applicants to pay any fee for an application, interview or offer. Do not pay anyone who promises you this role, do not share bank details or login credentials with anyone claiming to represent the company, and apply only through the listing channels named above.
Frequently Asked Questions
What is the salary for the Volga Partners AI Engineer job in Islamabad?
Rs 150,000 to Rs 400,000 per month for full-time work, depending on experience and alignment with the role’s expectations.
Is the Volga Partners AI Engineer role remote?
It is hybrid, not fully remote: three days a week in the Islamabad office (E-11/3) and two days remote.
What experience does the Volga Partners AI Engineer post require?
At least three years of experience in machine learning or AI-related roles, with hands-on experience shipping production-ready AI solutions and working with language model APIs.
Is there a last date to apply for this job?
No fixed closing date is published. The listing is open until filled and was live on multiple job boards as of 3 November 2026, so early application is advisable.
Which technologies should applicants know?
Python or JavaScript, language model APIs, RAG pipelines, vector databases such as Pinecone or Chroma, LangChain or LlamaIndex, and backend API design. React, Next.js, AWS and Vercel are also named in the stack.
To apply for this job please visit builtin.com.