AI & Backend Engineer - Production AI & LLM Systems | Pakistan
At a glance
Mid-level AI Engineering role at Volga Partners. Islamabad · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build Python or Node.js backend services and microservices that can scale
- Put copilots, chatbots and workflow automation into production, then improve their RAG pipelines
- Connect large language models to applications and prepare enterprise data for AI workflows
- Secure APIs and backend infrastructure while improving system reliability, speed and operating cost
- Work with product and engineering teams to deliver AI solutions from design through deployment
What you bring
- At least four years in professional software engineering, including building and maintaining scalable backend architecture
- At least three years putting AI or LLM-based products into production
- Strong command of Python or JavaScript/TypeScript, plus experience with APIs, cloud environments and current development practices
- Hands-on familiarity with RAG, vector databases, embeddings or AI orchestration frameworks
Who this fits
This suits a mid-level engineer who can work independently and take technical work from architecture through release. The role is based in Islamabad with a hybrid schedule of three office days and two remote days, and runs from 7:00 PM to 4:00 AM PKT. You complete a 90-day probationary period.
From the employer
Location
Islamabad, Islamabad Capital Territory, Pakistan
Office Location
House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly Salary
PKR 250,000 - PKR 400,000 per month (commensurate with experience and technical expertise)
Work Setup: Hybrid
- 3 days in office
- 2 days remote
Working Hours
07:00 PM to 04:00 AM PKT
About Volga Partners
Volga Partners is a global leader in Generative AI (GenAI) innovation, building intelligent systems, custom LLM applications, and advanced automation solutions for organizations worldwide. We design, develop, and deploy AI-powered technologies that help organizations solve complex business challenges across industries including finance, healthcare, legal, and technology.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners combines diverse expertise, innovation, and technical excellence to deliver impactful AI solutions at scale.
We are seeking an experienced AI & Backend Engineer to help build and scale production-grade AI applications used by global clients. This role is ideal for engineers who have already worked on AI-powered solutions and are comfortable taking ownership of technical initiatives from architecture through deployment.
You will work directly with leadership, product teams, and engineering stakeholders to develop scalable backend systems, Retrieval-Augmented Generation (RAG) pipelines, LLM-powered applications, and intelligent automation solutions.
This role is designed for experienced engineers who can contribute independently and are seeking long-term growth, ownership, and exposure to cutting-edge AI technologies.
Why Join Volga Partners
- Build real-world AI applications used by global organizations.
- Work with modern LLM technologies and AI orchestration frameworks.
- Own projects from design through production deployment.
- Influence technical architecture and product direction.
- Collaborate directly with leadership and engineering teams.
- Join a growing organization focused on the future of Generative AI.
Key Responsibilities
- Design and implement scalable backend services and microservices using Python and/or Node.js.
- Build and deploy production-ready AI solutions, including copilots, chatbots, and workflow automation systems.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Integrate and manage large language models, including OpenAI, Anthropic, and open-source models.
- Design secure, performant APIs and backend infrastructure.
- Process and structure enterprise data for AI workflows.
- Improve reliability, performance, latency, and cost efficiency of AI systems.
- Collaborate with product and engineering stakeholders to deliver quality solutions.
Qualifications
Required
- 4+ years of professional software engineering experience, with a documented track record of building and managing scalable backend architectures.
- At least 3 years of hands-on experience building AI or LLM-powered solutions into production environments.
- Demonstrated experience building and supporting scalable backend applications.
- Experience deploying AI or LLM-powered solutions into production environments.
- Strong proficiency in Python and/or JavaScript/TypeScript.
- Experience with RAG architectures, vector databases, embeddings, or AI orchestration frameworks.
- Experience working with APIs, cloud environments, and modern development practices.
- Ability to work independently and take ownership of technical solutions from design through deployment.
Preferred
- Experience with OpenAI, Anthropic, LangChain, or LlamaIndex.
- Experience with Pinecone, Chroma, or other vector databases.
- AWS experience.
- Experience building agentic AI workflows or automation systems.
- Experience working with complex enterprise data environments.
Important
This is not an entry-level AI role. We are seeking engineers who have prior experience building AI-powered solutions and can contribute independently in a fast-paced environment with minimal supervision.
What We Offer
- Monthly salary of PKR 250,000 - PKR 400,000 based on experience and technical expertise.
- Opportunity to build and own production of AI applications used by global clients.
- Direct exposure to Generative AI, LLM systems, RAG frameworks, and intelligent automation solutions.
- High-impact role with visibility to leadership and influence over technical decisions.
- A collaborative and fast-paced environment focused on execution and innovation.
- 90-day probationary period.
Benefits Eligibility
Upon successful completion of the statutory probationary period, employees become eligible for:
- Company-sponsored medical insurance, subject to company policy.
- Paid Time Off (PTO) in accordance with the company's service-based PTO policy.
- Holiday pay for designated company-observed holidays, subject to company policy.
- Career growth opportunities, increased ownership, and continued professional development within a rapidly growing AI-focused organization.