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Job listings
Trainee AI/ML Engineer
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Senior AI Engineer - Production AI & LLMs (Hybrid)
Design, build, and deploy scalable AI/ML systems with LLMs, agentic workflows, and RAG to reduce hallucinations and improve reliability.
AI / ML Engineer (Applied AI & Automations)
Build and deploy production-grade AI systems, including NLP, LLM features, and automations, to power workflows for restoration-industry SaaS customers.
AI ML Engineer
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
AI Full-Stack Engineer — Agentic AI & Automation
Build AI-powered apps and agents using LLMs, RAG, and automation; full-stack role covering frontend, backend, APIs, and deployment.
AI Engineer (Generative AI)
Build and ship LLM-powered features for enterprise clients, including RAG systems, AI agents, and vector-based retrieval pipelines using Python, LangChain, and cloud tools.
Senior AI ML Engineer
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
Senior AI/ML Engineer
Build and optimize GenAI systems using LLMs, prompt engineering, RAG, and agent workflows with frameworks like LangChain. Integrate APIs, vector databases, and external tools for scalable AI solutions.
AI & Machine Learning Engineer
Build and deploy AI/ML solutions for telecom and media clients, including generative models, recommendation systems, and real-time analytics using Python, PyTorch, and cloud platforms.
Senior Software Engineer (AI/ML)
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Full-Stack Developer with Claude / AI Experience
Build AI-powered apps using Anthropic’s Claude API, integrating LLM workflows, prompt design, and tool use into scalable full-stack systems with React, Next.js, Node.js/Python, and vector databases.
AI Engineer (Insurance)
Build and deploy AI-powered insurance workflows using LLMs and agent-based automation to process submissions, policies, and client communications.
AI/ML Engineer
Build and deploy multi-agent AI systems using LLM APIs (Bedrock, OpenAI, Mistral), LangGraph/LangChain, and AWS serverless tools; focus on execution, not design.
AI/ML Developer (LLMs, NLP, and AI Applications)
Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
AI/ML Lead
Lead a team to build and deploy AI/ML systems (NLP, computer vision, generative AI) and set technical standards for scalable, secure production AI solutions.
AI Engineer
Build production-grade AI features like RAG pipelines and agentic workflows using Python, FastAPI, and vector stores; ship LLM-powered services end-to-end.
AI Engineer
Build and maintain scalable backend systems in Python/FastAPI, integrate payments, and develop AI-powered agents and workflows using LLMs and RAG.
AI/ML Engineer
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
AI Architect – GenAI & ML
Design and deploy production-grade GenAI and ML solutions using Azure OpenAI, RAG pipelines, and agentic frameworks while ensuring scalability, security, and responsible AI practices.
Azure AI Engineer - Pakistan
Design, build, and deploy AI-powered applications on Azure using Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform to create chatbots, knowledge assistants, and enterprise copilots.