AI & Backend Engineer | Pakistan

Overview

• This role requires strong research-to-production skills, hands-on model training experience, and the ability to integrate AI into real-world applications.
• Build APIs, inference pipelines, and backend integrations.

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