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AI Platform Engineer - Cloud & GenAI Solutions (She/He/They)
Build and deploy AI solutions on cloud platforms, focusing on GenAI, LLMs, agents, and RAG pipelines using Python and cloud-native AI services like Azure AI Foundry and AWS Bedrock.
Senior AI Engineer | GenAI, Machine Learning, RAG & Cloud
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
Senior Backend Developer
Build and run the backend for a new generative-AI hub serving a financial-services firm; stack includes Azure, .NET/Node.js, vector search, agent orchestration, and Azure OpenAI.
Старший аналитик-исследователь (Data Science / GenAI)
Разрабатывает мультиагентную GenAI-платформу для анализа финансовых данных, прогнозирования трендов и подготовки инвестиционных исследований с использованием LLM, временных рядов и RAG.
Senior AI/ML Engineer
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Full Stack Engineer (Backend Heavy)
Build and scale an AI-driven security platform by designing autonomous agents for threat investigation, response, and automation, while architecting distributed systems for high-scale, multi-tenant security operations.
Applied AI Engineer
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Senior Software Engineer (AI/ML) - Part-time | Remote
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
ML Engineer
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Associate Architect - Data Science
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Associate Lead - Data Science
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
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.
Software Engineer, Senior
Senior engineer building production LLM features for sales teams: RAG pipelines, prompt engineering, evaluations, and guardrails to ensure accurate, cost-controlled AI in meetings.
Senior Data Science & AI
Lead AI initiatives at a proptech company, designing and deploying GenAI systems with LLMs, RAG, and agent frameworks while mentoring engineers and shaping product strategy.
Forward Deployed AI Engineer (Remote)
Build and deploy AI-powered workflows and automations for enterprise clients, integrating LLMs and agentic systems while contributing to reusable AI accelerators and platforms.
Senior AI Software Engineer - Level II
Build and deploy AI systems like RAG pipelines and agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Senior AI Software Engineer - Level I
Build and deploy AI-driven systems like RAG pipelines and custom agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Data Scientist – NLP / Generative AI
Build and deploy NLP and generative AI systems—fine-tuning LLMs, RAG pipelines, and vector search—to automate document processing and decision support for a mid-market professional services firm.
AI Engineer
Build and optimize a locally hosted AI platform, deploying and running GPU-powered models, tuning inference pipelines, and integrating AI into internal tools.
Data Scientist IA Generativa
Build and deploy generative AI products using LLMs, RAG, and fine-tuning; design prompts, evaluate models, and ship cloud-native APIs with Python and Kubernetes.