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Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Designs autonomous network solutions for mobile/fixed telecoms using AI frameworks (Vertex AI, LangGraph), network programmability, and agentic systems to optimize performance and cost.
Senior Manager - Applications Development Location: Pune - Panchshil, Mumbai - Hiranandani, Gurugram - DLF Building Remote Type: Hybrid Time Type: Full time Job Description Company: Marsh McLennan Agency Description:…
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Senior Full Stack Engineer builds RPA agent pipelines and data-rich UIs for a SaaS platform, integrating LLMs and cloud-native tools to automate workflows.
Build AI-powered tools to accelerate hardware design and testing workflows using Python, TypeScript, and vector databases.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Builds full-stack Java/Spring Boot and React/TypeScript apps, integrates Generative AI features, and deploys to Kubernetes while using AI tools like GitHub Copilot.
Build and ship AI systems for property managers: RAG pipelines, multi-step agent workflows, and LLM integrations using TypeScript, Python, and vector databases.
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
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.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and deploy LLM-powered automation agents for pharma workflows using Python/JavaScript, PostgreSQL, vector DBs, and n8n on an NVIDIA DGX Spark AI sandbox.
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
Design and scale RAG pipelines that turn IT logs and docs into vector embeddings, maintain high-performance vector databases, and build semantic layers for AI agents.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
About the Role We are seeking a passionate AI Data Architect to design and build the data foundation that makes AI work well across Kuok Group —specifically, the hybrid vector and knowledge graph layer (the enterprise…
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
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