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Senior Backend Engineer
Build backend systems for an AI-driven fintech platform that helps startup employees manage equity, taxes, and wealth forecasting with correctness-critical financial models.
Backend Software Developer
Build cloud-native services and AI-driven data pipelines for manufacturers, turning operations data into actionable insights using TypeScript/Python/Go, Kubernetes, and cloud platforms.
Full Stack Engineer
Build and deploy production-grade agentic AI systems using Python/Java and React, orchestrating multi-agent workflows and retrieval pipelines while ensuring reliability and observability.
(Senior) AI Engineer - Data & AI Organisation (all genders)
Build and scale AI systems, including LLM pipelines and agentic workflows, to deliver data-driven solutions for Merck’s business functions like Finance, HR, and Procurement.
Data Engineering Consultant - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Tech Lead Full Stack Engineer (Python, React, AI/LLM)
Lead a team building an AI-powered document processing platform for a global bank, using Python, React, and Google Cloud to automate workflows and integrate LLMs.
AI Engineer
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Agentic Software Engineer (Full Stack)
Build and ship production-grade AI agent systems end-to-end, designing architectures, writing code, and implementing rigorous evals and observability for reliable agentic products.
Senior AI Engineer
Build production-grade agentic AI systems (MCP servers, RAG pipelines, multi-agent workflows) using LLMs to automate enterprise workflows at RBC.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Software Engineer III (AI Integration)
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Sr Staff AIOps and DevOps Engineer
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
AI Engineer Sr
Senior AI engineer builds and scales enterprise AI systems, intelligent agents, and agentic workflows using Python, LangChain, and cloud-native tools to power Dayforce’s HCM platform.
Staff Software Engineer - Agentic AI Systems
Lead architecture and deployment of production-grade agentic AI systems that orchestrate multi-step reasoning, memory, and tool use for enterprise workflows.
Staff Software Engineer - AI Platform Team
Builds and shapes the internal AI platform that product teams use to ship agentic applications, including eval-driven gates, OpenTelemetry observability, and AuthX for AI workloads in Python and TypeScript.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Remote Senior Backend Developer
Build and scale Python-based backend services and LLM agent frameworks, integrating speech/NLP tech and ensuring reliability with observability tools.