AI Backend Engineer - Build Production AI & LLM Systems (Hybrid)

Volga Partners; Islamabad; Hybrid; PKR 1,674,000 - 4,464,000; Full time

Benefits offered by this job

Company-sponsored medical insurance

Paid Time Off (PTO)

Holiday pay

Career growth and development

Job summary

Volga Partners in Islamabad, Pakistan is seeking an AI Engineer to design, develop, and deploy advanced AI systems, including LLMs, RAG frameworks, and agentic workflows. You will work closely with software engineers, product teams and leadership to deliver scalable AI-powered solutions for global clients.

This role requires hands-on model training experience, production readiness, and strong NLP fundamentals.

Qualifications

• 3+ years hands-on AI/ML engineering experience with at least one production deployment.
• Strong NLP fundamentals including tokenization, embeddings, classification, NER, IE.
• Solid software engineering skills: coding, Git, testing, API/system design, debugging.
• Hands-on model training using PyTorch or Keras.
• Understanding of transformer architectures and VAEs.
• Production experience with LLMs, RAG, embeddings/vector databases, prompt/evaluation design.
• Experience with FastAPI or similar, Docker, and at least one cloud platform (AWS/GCP/Azure).
• Ability to read ML research papers and translate ideas into working code.

Responsibilities

• Design, build, and deploy AI systems including LLMs, RAG, agentic workflows, and ML/DL solutions.
• Train and fine-tune models, prepare data, and evaluate performance.
• Build APIs, inference pipelines, and backend integrations.
• Own evaluation metrics, monitor latency, cost, and quality post-launch.
• Collaborate with engineers, product teams, and leadership to ship AI-powered solutions.
• Document architecture and key technical decisions.

Job description

Volga Partners in Islamabad, Pakistan is seeking an AI Engineer to design, develop, and deploy advanced AI systems, including LLMs, RAG frameworks, and agentic workflows. You will work closely with software engineers, product teams and leadership to deliver scalable AI-powered solutions for global clients.

This role requires hands-on model training experience, production readiness, and strong NLP fundamentals.