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Senior Backend Data Engineer
Build and maintain scalable data pipelines and backend systems to power AI/ML features for a mental-health platform, ensuring reliable, high-performance data infrastructure for clinicians.
Jr. Al ML Engineer
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
AI Software Engineer
Build and deploy AI systems, including LLM-based agents and retrieval workflows, using Python and cloud-native stacks to power healthcare products and enterprise solutions.
AI Solution Architect
Designs enterprise-scale AI architectures for healthcare, including generative AI apps, agentic systems, and LLM-powered workflows, while ensuring security, compliance, and cloud-native integration.
Senior Data Scientist LLM (AI-ассистент)
Build and optimize LLM-powered AI assistants for a bank’s internal support systems using Python, RAG, and vector databases.
Principal Product Manager - Knowledge Bases & Ask AI
Own the AI-powered natural-language layer for a SaaS platform: define the product strategy, architecture, and evaluation systems that let users ask questions, retrieve knowledge, and safely execute actions across CRM, automation, and workflows.
Forward Deployed Engineer – GenAI, Prague
Build and deploy production-grade GenAI applications for enterprise clients, integrating LLMs, RAG, and agentic workflows with Python and modern AI frameworks.
Forward Deployed Engineer
Design and deploy advanced healthcare-focused AI systems using RAG, tool-calling, and LLM techniques; architect production-grade AI agents for clinical environments.
Sr Manager - Product Support ( AI & Data Solutions)
Job Title: Sr Manager - Product Support ( AI & Data Solutions) Job Description We are seeking a highly strategic product leader for the role of Senior Manager Product Support – AI & Data Solutions. In this…
.Net Developer with Android
Build .NET backend services and APIs for a hospitality platform, integrating with Android apps, hotel systems, and AI tools to power digital guest experiences like check-in, mobile keys, and interactive TV.
AI/ML Engineer
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
AI Engineer
Designs and implements AI/ML systems using Amazon SageMaker and AWS Bedrock, focusing on vector databases, knowledge graphs, and semantic layers to enhance business logic.
AI Engineer
Build and scale Generative AI-powered systems, including LLM applications and research agents, using Databricks, Azure, and modern MLOps practices in a hybrid Toronto role.
AI Engineer
Build AI agents that analyze session replays to surface issues and recommendations using LLMs, vector databases, and orchestration frameworks.
Senior Data Scientist LLM (AI-ассистент)
Build and optimize LLM-powered AI assistants for a bank’s customer service channels, integrating models like GPT and Llama with internal APIs and RAG architectures.
Senior Machine Learning Engineer (Bangalore/Noida Location)
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Senior Backend Engineer- AI Agents
Build scalable backend systems for AI-powered customer-agent platforms using LLMs/SLMs, orchestration, and real-time inference pipelines in a hybrid Noida role.
Senior Machine Learning Engineer - NLP (Bangalore/Noida Location)
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
AI Platform Engineer (Microsoft Foundry)
Build and maintain an enterprise AI platform on Microsoft Azure, integrating Azure OpenAI and RAG to deliver scalable generative AI solutions and intelligent automation for internal teams.
Senior AI and Machine Learning Engineer
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.