# AI & Backend Engineer | Pakistan

**Company:** [Volga Partners](https://jobs.workable.com/companies/vBHEuzwk8ghJwdk43HHAzt.md)
**Location:** Islamabad, Pakistan
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Volga Partners

[Apply for this job](https://jobs.workable.com/view/710a8d51-4637-40b2-b345-794b33508e7c)

## Description

**Department**: Engineering   
**Reports To**: Product & Engineering Leadership   
**Location**: Islamabad, Pakistan   
**Office Arrangement**: Hybrid – 3 days in office, 2 days remote   
**Working Hours**: 07:00 PM – 04:00 AM PKT   
**Monthly Salary**: PKR 150,000 – PKR 400,000, commensurate with experience and expertise 

**Position Overview** 

The AI Engineer at Volga Partners will design, develop, and deploy advanced AI systems, including LLMs, RAG frameworks, agentic workflows, and intelligent automation solutions. 

This role requires strong research-to-production skills, hands-on model training experience, and the ability to integrate AI into real-world applications. 

The AI Engineer will work closely with software engineers, product teams, and leadership to deliver scalable AI-powered solutions for global clients. 

**Key Responsibilities** 

**AI System Development** 

-   Design, build, and deploy AI systems, including LLMs, RAG, agentic workflows, and ML/DL solutions.  

-   Select appropriate models and architectures while balancing accuracy, latency, cost, and complexity.  

-   Train and fine-tune models using PyTorch or Keras, including data preparation and evaluation.  

-   Implement and benchmark research methods before adoption.  

-   Build APIs, inference pipelines, and backend integrations.  

**Production & Monitoring** 

-   Own evaluation metrics and track quality, latency, and cost.  

-   Monitor, debug, and optimize AI systems post-launch.  

-   Ensure production readiness and identify regressions before they impact users.  

**Collaboration** 

-   Partner with software engineers and product teams to integrate AI into applications.  

-   Contribute to technical discussions and technical decision-making.  

-   Document architecture, implementation approaches, and key technical decisions.  

**Research & Experimentation** 

-   Read and evaluate ML research papers.  

-   Implement promising methods and reproduce results where applicable.  

-   Adapt emerging techniques into production-ready systems.  

-   Contribute to continued innovation across AI and engineering initiatives.  

**Required Qualifications** 

-   3+ years of hands-on AI/ML engineering experience, with at least one system deployed to production.  

-   Strong NLP fundamentals, including tokenization, embeddings, classification, NER, and information extraction.  

-   Strong engineering skills across coding, Git, testing, API/system design, and debugging.  

-   Hands-on model training experience using PyTorch or Keras.  

-   Understanding of generative model architectures, including Transformers and VAEs.  

-   Production experience with LLMs, including RAG, embeddings/vector databases, and prompt/evaluation design.  

-   Experience with FastAPI or similar frameworks, Docker, and at least one cloud platform such as AWS, GCP, or Azure.  

-   Ability to read ML research papers and translate ideas into working code.  

**Preferred Qualifications** 

-   Experience with LLM fine-tuning, including LoRA and RL-based methods.  

-   SQL database knowledge.  

-   Familiarity with agent frameworks such as LangGraph or LangChain.  

-   Experience with Kubernetes, CI/CD, and model-serving infrastructure.  

-   Open-source contributions or experience reproducing research results.  

**Working Relationships** 

**The AI Engineer will collaborate with:** 

-   Engineering leadership and product teams.  

-   Software engineers and backend developers.  

-   Global AI research and development teams.  

**Success in This Role** 

**Success includes the ability to:** 

-   Deliver production-ready AI systems with measurable impact.  

-   Translate research into practical engineering solutions.  

-   Collaborate effectively across distributed teams.  

-   Document and share technical knowledge for scalability.  

-   Adapt to evolving technical and business priorities.  

**Compensation & Benefits** 

-   Monthly Salary: PKR 150,000 – PKR 400,000, based on experience and technical expertise.  

-   Team members will be engaged by Volga Partners, with contract and payment administration facilitated through Deel.  

-   90-day probationary period.  

-   Benefits eligibility upon successful completion of the probationary period includes:  

-   Company-sponsored medical insurance.  

-   Paid Time Off (PTO) in accordance with company policy.  

-   Holiday pay for company-observed holidays.  

-   Career growth and professional development opportunities within Volga Partners’ growing AI-focused organization.  

**Our Hiring Process** 

We value your time and aim to keep our recruitment process transparent, efficient, and engaging. 

**1\. Initial Recruiter Screening** 

An introductory video call with a member of our Recruiting team to discuss your background, experience, career goals, salary expectations, and any initial questions you may have about the role or Volga Partners. 

**2\. Practical Skills Assessment** 

Candidates who successfully complete the initial screening will receive a practical assessment to complete asynchronously. 

The assessment is designed to evaluate technical knowledge, problem-solving ability, and how you approach a real-world engineering scenario. 

**3\. Assessment Review** 

Our team will review your submission against the technical requirements of the role. 

Candidates who meet the required criteria will advance to the final interview stage. 

**4\. Final Interview – CTO** 

A deep-dive conversation with our Chief Technology Officer focused on technical alignment, your assessment approach, architectural thinking, problem-solving, and overall alignment with the role and team.