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Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
Own AI-powered features for Pakistan’s largest auto marketplace, from discovery to launch, using LLMs and agentic workflows to automate buying/selling tasks and improve user outcomes.
Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
Own AI-powered features for Pakistan’s largest auto marketplace, designing agentic workflows and LLM-driven tools to streamline vehicle buying/selling and improve user experience.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
Build and deploy AI automation pipelines and agentic systems using Python, LLM APIs, and AWS to solve defense-related tasks for a Ukrainian government-focused tech company.
Design and deploy LLM-powered agents and pipelines using LangGraph/LangChain to support field technicians in production.
Build and deploy generative AI applications and autonomous agents using LLM APIs and agent frameworks, integrating them into client systems across full-stack TypeScript/Python stacks.
Build core AI capabilities for GitLab Duo Chat, integrating LLM orchestration and multi-agent flows in Python/LangGraph while extending the GitLab Rails monolith.
About the role The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design…
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
Leads enterprise AI governance and productivity frameworks, defining standards for AI adoption, evaluation, and automation across investment and operations using LLMs, agents, and cloud-native stacks.
Build and deploy LLM agents and RAG systems for banking workflows, fine-tuning models and orchestrating multi-agent pipelines in Python.
Build and scale AI systems using autonomous agents and bots, integrating them with cloud APIs and internal tools while ensuring security and observability.
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
Design, build, and deploy enterprise AI/ML and LLM solutions using Databricks, MLflow, and cloud platforms, covering the full AI product lifecycle.
Lead AI engineering for commerce software, designing and scaling AI agents and retrieval systems to power enterprise marketplaces and retail media.
Build and deploy production-grade AI systems, including LLMs, RAG, and AI agents, to power intelligent commerce features for Mirakl’s marketplace platform.
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