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Senior Software Engineer
Build and scale internal AI-powered platforms and tools using JavaScript/TypeScript, cloud services, and GenAI features to empower decision-making across McKinsey.
Développeur Full Stack IA / Python Senior (H/F)
Build and scale a next-gen generative-AI platform using Python, FastAPI, RAG, and LLM integrations (GPT, Mistral, Claude) with cloud-native tooling.
Senior Python Developer pour LINNK Group - AI SaaS
Build and scale Python backend services with FastAPI for a GenAI SaaS platform, integrating vector databases and collaborating with AI teams to deploy real-time inference workflows.
DevOps Engineer (Product)
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
DevOps Engineer (Product) DevOps Engineer - Product (London, UK)
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Data Engineering Architect
Design and lead enterprise-scale data platforms, pipelines, and AI-ready architectures using cloud, Spark, Kafka, and modern data warehouses to transform raw data into actionable insights.
Sr. AI Engineer
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Applied AI Engineer
Build and deploy enterprise-scale AI systems using LLMs, NLP, and computer vision. Lead MLOps pipelines, fine-tune models, and architect scalable cloud solutions in Python with PyTorch/JAX.
Principal Software Development Engineer
Lead the architecture and delivery of scalable flight-shopping platforms at Expedia, integrating AI/ML systems to improve search, pricing, and personalization for travelers.
ML Engineer
Build and improve ML systems that extract and match data from financial documents (invoices, bills, POs) to automate approval workflows, focusing on accuracy and zero-touch processing.
Software Engineer, Applied Machine Learning & Data Mining
Build ML-driven data-mining tools to find the most valuable moments in petabytes of autonomous-driving data, turning them into searchable datasets for ML engineers.
Python Backend AI/ML with Agentic
Builds AI-powered backend services using Python, FastAPI/Django, and agentic frameworks like LangChain/LangGraph, with RAG and vector databases.
Senior Data Scientist
Design and deploy generative and predictive AI/ML models for U.S. government customers, integrating LLMs, agents, and RAG pipelines using Python and frameworks like LangChain and PyTorch.
Staff AI Engineer
Staff AI Engineer Location: Work At Home-Connecticut Remote Type: Remote Time Type: Full time Job Description We’re building a world of health around every individual — shaping a more connected, convenient and…
Senior AI Software Engineer | AI Agents | Python | F2F Interview in NJ - W2 Role
Build production-grade AI agents in Python using LangGraph/LangChain, orchestrating multi-step reasoning, RAG, and tool use; deploy on cloud stacks with LLMOps and security guardrails.
Associate Data Scientist, Generative AI
Build and deploy generative AI applications using LLMs and multimodal models, integrating them into client systems via APIs and optimizing outputs with prompt engineering and RAG.
Senior Generative AI Engineer
Build and deploy generative AI solutions using LLMs and transformer architectures, fine-tuning models, and integrating them into enterprise systems with Python, PyTorch, and cloud platforms.
AI Engineer
Build autonomous AI agents that plan, collaborate, and act using frameworks like LangChain and DSPy, integrating LLMs with tools and APIs for real-world execution.
AI Engineer
Build and validate AI-driven features for a no-code data-integration SaaS, using LLMs, vector DBs, and agentic frameworks to prototype and ship new capabilities.
Data Scientist, Applied AI - Remote
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.