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Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Lead the build-out of scalable ETL/ELT pipelines and a governed data warehouse for an electric-air-taxi startup, ensuring auditable data lineage and clean access layers for engineering and commercial teams.
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Builds enterprise AI apps using LLMs, RAG, and Agentic AI frameworks in Python, deploys them on cloud platforms, and integrates them with enterprise systems.
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Builds and maintains Node.js/Express.js back-end services for an edtech platform, integrating vector databases, chatbots, and content management systems.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Builds and owns AI-driven agent systems for workflow automation, integrating LLMs, RAG, and agentic pipelines to optimize enterprise processes—from prototyping to production deployment.
Build and scale enterprise microservices in Java and React, then extend them with agentic AI features that securely connect LLMs to internal systems using RAG, MCP, and prompt engineering.
Senior full-stack engineer building Java microservices and AI agents that connect LLMs to enterprise systems using RAG, prompt engineering, and modern AI tooling.
Build and deploy production-grade AI agents for a media company, designing agentic workflows, RAG systems, and LLM-powered tools to automate editorial, subscriptions, and advertising tasks.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including Slurm clusters, OpenShift/Kubernetes, and NVIDIA stacks, while collaborating with data science and MLOps teams.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including distributed training, RAG pipelines, and NVIDIA stack tuning, while collaborating with MLOps and data science teams.
Leads AI/ML architecture and development for Pfizer’s commercial analytics, designing RAG pipelines, agentic systems, and production-grade AI solutions to optimize marketing spend and business strategy.
Job Family : Systems Engineering (Digital) Travel Required : None Clearance Required : Ability to Obtain Public Trust The AWS Database Engineer will support application development, database engineering, data…
We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design,…
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