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Lead AI Engineer
Lead the design and build of Mastercard’s next-gen agentic AI systems, including orchestration, governance, and cloud-native platforms that power enterprise-scale AI applications across the business.
Full Stack AI Engineer
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
AI Software Engineer (Internship)
Build and deploy AI prototypes using LLMs and VLMs, engineer prompts, APIs, and backend services, and collaborate with teams to deliver client-facing AI solutions.
AI Engineer
Design and deploy AI models (LLMs, CV, Agentic AI) from research to production APIs, build RAG pipelines, and integrate solutions with core systems.
AI Engineer
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
AI Full Stack Engineer
Build and deploy AI-powered applications end-to-end, integrating LLMs, vector databases, and agentic orchestration with Python, React, and cloud services.
ML/AI Engineer
Build, test, and deploy AI/ML models and GenAI workflows in Python, integrating them into business systems using cloud platforms like Snowflake and CI/CD pipelines.
Applied ML Engineer (LLM Agents & Agentic Systems)
Центр практического ИИ — подразделение Сбера, которое занимается сложными AI-проектами на стыке прикладных исследований, инженерии и бизнес-внедрения. Мы работаем с задачами, в которых недостаточно применить готовую…
Senior C# JavaScript AI Backend Engineer
Build and operate scalable backend systems in C# and TypeScript, using microservices and AI-powered features like LLMs and RAG, while optimizing cloud-native infrastructure on AWS/GCP/Azure.
Amazon Solutions Architect - Agentic WorkSpaces AI
Designs and advises on agentic AI solutions using Amazon WorkSpaces, guiding customers through adoption and technical implementation.
Associate Director, Applied AI Engineering - PxE ERM
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
ServiceNow Lead Forward Deployed Engineer
Lead a team deploying GenAI solutions on ServiceNow for government clients, setting technical direction, removing blockers, and mentoring engineers while traveling 50% to client sites.
Associate Director, Applied AI Engineering-PxE Platforms
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Associate Director, Applied AI Engineering-PxE Workplace Experience
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
Associate Director, Applied AI Engineering-PxE Talent
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
AI Engineer/Insurance/12 months (Extendable)/Competitive pay
Build and deploy production AI/ML solutions for an insurance-focused squad, focusing on GenAI, RAG, and cloud ML tooling in Python.
AI Engineer/Insurance/Long Term Contract (Perm Potential)
Build production-ready AI systems for an insurance-focused project, designing scalable infrastructure, advanced RAG pipelines, and multi-agent workflows from scratch.
Senior Data Scientist
Build and deploy computer vision and generative AI models for retail applications like visual search, personalized recommendations, and fraud detection using PyTorch, diffusion models, and multimodal systems.
Data Scientist - Digital Health & Sensor Data Analytics
Builds ML models to extract clinical insights from wearable sensor data, collaborating with customers to validate algorithms and improve digital health outcomes.
Data Scientist - Digital Health & Sensor Data Analytics
Builds ML models to extract clinical insights from wearable sensor data, focusing on time-series analysis and digital health applications.