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Build AI-powered analytics tools that let business users query data conversationally using LLMs, RAG, and agentic frameworks like LangGraph.
Builds and deploys production-grade GenAI systems: RAG pipelines, LLM integrations, and backend services in Python (FastAPI/Flask) on AWS.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Senior Data Analyst builds and evaluates AI-driven multi-agent systems for digital banking, using GenAI to automate client interactions and improve engagement metrics.
Build AI-assisted workflows to automate software development lifecycle tasks like code analysis, dependency discovery, and documentation generation using Python, orchestration frameworks, and AI models.
Build AI agents for KYC in wholesale banking using multi-agent orchestration, entity resolution, and graph analytics to automate compliance workflows and support risk decisions.
Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer Build and maintain entitlement decision cache with…
Sr. Director, AI Solutions Location: California, India Department: AI Solutions Engineering & Support Experience: 15 Be at the Forefront of the Agentic AI Revolution At Skan AI, we are pioneering the context engine…
The AI Engineer will design, build, and scale AI solutions, working closely with stakeholders to deliver use cases from concept to production. Master Degree in Computer Science, Engineering, Data Science, or equivalent…
Design and advise on large-scale generative AI and agentic architectures for AWS customers, leveraging LLMs, RAG, and agent frameworks while producing technical content to drive adoption.
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.
Build and deploy large-scale machine learning models and AI agents to optimize Micron’s semiconductor manufacturing workflows using distributed training and GPU optimization techniques.
Design and build production-grade AI systems using Claude, MCP, and agentic frameworks; split time between architecture and hands-on coding while ensuring security, cost governance, and compliance.
Build and deploy autonomous AI agents using LangChain/Crew.ai and optimize RAG systems to deliver client-facing automation solutions.
Design and deploy autonomous AI agents using LangChain/Crew.ai and optimize RAG systems to deliver client-facing automation solutions.
Design enterprise AI solutions using generative agents, RAG, and AIOps to automate IT service management workflows like incident handling, diagnostics, and resolution.
Design and implement enterprise-scale generative AI and agentic AI systems using Azure OpenAI, RAG pipelines, and MLOps for production deployments.
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.
Наша команда обеспечивает кибербезопасность GenAI-моделей, LLM-приложений, AI-агентов и мультиагентных систем, используемых миллионами пользователей. Основной фокус: кибербезопасность GenAI-моделей разных модальностей…
Build and deploy AI agents that audit code for vulnerabilities, detect malicious prompts, and integrate with DevSecOps pipelines using Python/Go and frameworks like LangChain.
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