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Clinical Data Scientist — AI & Automation
Build and deploy AI agents and predictive models to automate clinical research workflows, analyze trial data, and generate regulatory-compliant insights using Python, scikit-learn, TensorFlow, and LLM frameworks.
Security Architect, AI
Evaluate and secure AI coding tools like GitHub Copilot and Claude before enterprise rollout, identifying risks such as prompt injection and data leakage and recommending governance controls.
Software Engineer, Senior
Senior engineer building production-grade LLM integrations and RAG pipelines for Infor’s cloud products, focusing on Claude API integration, eval harnesses, and cost guardrails.
Senior Machine Learning Engineer
££75,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer Location: London (Hybrid) Salary: £75,000 + Bonus + Excellent Benefits Are you…
AI Engineer
Design and deploy production-grade AI agents and RAG pipelines for fintech workflows, integrating LLMs into core systems with monitoring and safety guardrails.
Software Engineer_3
Senior Software Engineer building production-grade generative AI applications for clients, owning projects end-to-end from design to deployment in a hybrid role.
Senior AI/ML Engineer (Onsite, Karachi, PKR Salary)
Lead a team building autonomous AI agents and LLM applications using frameworks like LangChain and LangGraph, integrating them with enterprise systems and optimizing performance for client projects.
Applied AI Engineer (Squad Lead)
Lead a team building production-grade AI agents and applications for a large fintech platform, from POC to deployment, using modern GenAI and agentic technologies.
AI Engineer
Build production-ready AI systems (RAG, chatbots, document extraction) using Python, LangChain, and Azure AI services for fintech clients.
Senior Forward Deployed Engineer (Gemini Enterprise)
Build and deploy enterprise-grade AI agents and RAG systems using Google’s Gemini Enterprise stack, from front-end interfaces to production-grade retrieval pipelines and cloud infrastructure.
Senior Forward Deployed Engineer (Gemini Enterprise)
Build and deploy enterprise AI applications end-to-end using Google’s Gemini Enterprise stack, including conversational agents, RAG pipelines, and agentic systems, while working embedded with clients.
Arquitetura de Soluções GenAI | Remota - 134218
Designs and builds production-grade GenAI solutions using LLMs, RAG, agents, and copilots with full-stack engineering (.NET/C#, Python, React/TypeScript) and cloud platforms (Azure, AWS, GCP).
Arquitetura GenAI | Remota - 134499
Builds and deploys production-grade GenAI applications using LLMs, RAG pipelines, and agent frameworks like LangChain/LangGraph, plus full-stack Python/.NET/React systems.
Generative AI Engineer
Build production-grade GenAI apps using LLMs, RAG pipelines, and AI agents with Python/FastAPI, optimizing for performance and cost.
Python/GenAI Full Stack Developer (SC Eligible)
Builds full-stack GenAI solutions using Python/TypeScript, React, and cloud platforms for government, finance, retail, and energy clients.
GenAI Full Stack Engineer - Consultant / Senior Consultant - Digital Excellence
Build and scale GenAI full-stack apps using RAG, intelligent agents, and modern web tech (React/Next.js, FastAPI/Express) on AWS/Azure, with Docker/Kubernetes and vector databases.
GenAI Full Stack Engineer
Build and scale GenAI proof-of-concepts into production apps using RAG, intelligent agents, and full-stack tech like React, FastAPI, and AWS/Azure.
Senior Backend AI Engineer
Senior backend engineer building and scaling AI/LLM systems, including RAG pipelines, copilots, and agentic workflows with Python, vector DBs, and observability tools.
Deployed Architect, Post-Sales (NYC)
Design and deploy production-grade AI agent infrastructure and systems for enterprise customers, combining Kubernetes, Terraform, and LangChain/LangGraph to build scalable, secure, and evaluated agent applications.
Deployed Architect, Post-Sales (Dallas)
Design and deploy production-grade AI agent systems and infrastructure for enterprise customers, combining Kubernetes, Terraform, and LangChain/LangGraph to build scalable, secure multi-agent applications.