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Ship production-grade LLM and automation systems that accelerate eSource-to-EDC workflows — with the validation rigor and audit traceability that clinical research demands. Pakistan Lahore About the role Nexa Trials is…
Build and enhance a global event-tech platform using C#/.NET and modern JS frameworks, while integrating AI/ML features like LLMs and RAG to improve product capabilities.
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.
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.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Build full-stack web apps with React/Next.js and Node.js/PHP, integrating Anthropic’s Claude API to create AI-powered features like agents, RAG, and streaming responses.
Build and deploy AI-powered insurance workflows using LLMs and agent-based automation to process submissions, policies, and client communications.
Build and deploy multi-agent AI systems using LLM APIs (Bedrock, OpenAI, Mistral), LangGraph/LangChain, and AWS serverless tools; focus on execution, not design.
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
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.
Build and deploy multi-agent AI systems using LLM APIs, agent frameworks, and AWS services, focusing on execution and integration rather than design.
Job Summary We are seeking an experienced AI Automation Engineering Manager to lead our AI and automation initiatives across the organization. This role is responsible for managing a team of AI Automation Engineers,…
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Build and ship AI-powered features end-to-end: prototype LLM workflows in React/TypeScript and Python/Node, then take them to production across GuardPass’s security-training platform.
Builds AI-powered websites, chatbots, and voice agents for UK clients by engineering prompts, integrating APIs, and automating workflows using modern AI platforms.
Senior AI Engineer builds and operates a multi-agent GenAI system with retrieval, knowledge ingestion, and evaluation pipelines, integrating model APIs and cloud infrastructure.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to improve search, recommendations, and automation.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to automate workflows and improve user experience.
Build production-grade AI agents and LLM-powered features like chatbots and RAG systems using Python, FastAPI, and third-party models (OpenAI, Gemini, Claude).
Builds scalable web apps with ASP.NET Core, Angular, and Entity Framework while integrating AI tools like GitHub Copilot to boost development efficiency.
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