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Junior AI Engineer at Prime System Solutions
Lahore, Punjab, Pakistan -
Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

0.0

Posted On

08 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, PyTorch, TensorFlow, Scikit-learn, Large Language Models, Machine Learning, Data Pipelines, API Integration, REST Services, Cloud Platforms, Prompt Engineering, RAG Architectures, Vector Databases, MLOps, Fine-tuning, Supervised Learning

Industry

IT Services and IT Consulting

Description
We're looking for a curious and motivated engineer to join our AI team. You'll help design, build, and ship intelligent systems — from LLM-powered features to ML pipelines — while learning from senior engineers in a fast-moving environment. Responsibilities: Build and integrate AI/ML features into production applications using large language models and other ML techniques. Design and maintain data pipelines for training, fine-tuning, and evaluating machine learning models. Collaborate with product and design teams to translate requirements into AI-powered features. Write clean, well-tested Python code and contribute to shared ML libraries and tooling. Monitor and evaluate model performance in production; iterate on prompts, parameters, and architectures. Document experiments, findings, and system designs clearly for the team Requirements: Bachelor's degree in Computer Science, Engineering, Math, or a related field (or equivalent practical experience). Proficiency in Python and familiarity with ML libraries such as PyTorch, TensorFlow, or scikit-learn. Basic understanding of machine learning concepts: supervised learning, embeddings, transformers. Experience working with APIs, REST services, and cloud platforms (AWS, GCP, or Azure). Strong communication skills and a growth mindset. Nice to Have: Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere) or open-source models (LLaMA, Mistral). Familiarity with RAG architectures, vector databases (Pinecone, Weaviate, Chroma). Knowledge of MLOps tools: MLflow, Weights & Biases, or similar. Contributions to open-source AI/ML projects or personal AI side projects. Experience with prompt engineering and fine-tuning workflows
Responsibilities
The role involves building and integrating AI/ML features into production applications using LLMs and maintaining data pipelines. The engineer will collaborate with product teams to translate requirements into intelligent systems and monitor model performance.