AI Engineer | Pakistan
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.
Skills
As published by workable · 16 questions · 2 written answers
Basics
First name, Last name, Email, Headline, Phone, Address, Photo, Education, Experience, Summary, Resume, Cover letter
Short answers (7)
- When will you be available to start?
- What is your desired pay rate (PKR/month)? Please CHECK the job post for our ranges.
- Total years of experience do you have as a software engineer
- Years of experience after graduation
- Years of experience with AI
- GitHub, portfolio, or technical project link (optional)
- If you are currently located outside Islamabad, would you be willing to relocate if required?
Pick from a list (7)
- Have you ever applied to our company before?
- Highest Level of Education
- Do you have 4 or more years of professional, hands-on software engineering experience with backend architectures?
- Do you have at least 3 years of focused experience building and shipping production-grade GenAI / LLM applications (e.g., RAG pipelines, agents)?
- Which of the following technologies have you extensively architected or deployed in production systems? (Select all that apply)
- Our office is in E-11/3, Islamabad. Do you currently have your own reliable transport (not dependent on ride-hailing apps or family) available at that hour?
- Are you willing to undergo a background check, in accordance with local law/regulations?
Written answers (2)
- Please link or briefly describe a specific GenAI or LLM feature you have built and deployed to production. What LLM providers did you use, and what was your approach to handling context windows or managing prompt reliability? [REQUIRED]
- One of the core focuses of this role is strong backend system design. Tell us about a time you had to optimize an application backend for scale, heavy traffic, or high latency. What database or architectural changes did you implement? [REQUIRED]