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Design and scale AI systems for AXA, including GenAI assistants and agentic workflows, while defining enterprise AI governance and integration patterns across cloud platforms like Azure.
Senior ML/AI Engineer building LLM/RAG and NLP systems for ecommerce content moderation and insights, deploying on AWS with Python and Kafka.
Build and deploy NLP and GenAI models to analyze customer contact journeys using SQL, Python, PySpark, and Azure.
Build and ship AI features on the Salesforce platform using Agentforce, Einstein, and Data Cloud, integrating LLMs with enterprise data and deploying autonomous agents in production.
Build and deploy enterprise-grade GenAI applications using RAG pipelines, document parsing, vector databases, and LLM orchestration in Python.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Build LLM-powered compliance tools on Google Cloud to detect and interpret regulatory changes for banking clients, using Python and AI pipelines.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Design and deliver enterprise-scale generative AI systems on AWS, using Amazon Bedrock, RAG, and agentic workflows while defining architecture standards and ensuring governance and security.
Design and deploy AI-powered applications, including LLM-based agents and workflows, to transform enterprise processes while ensuring scalability, security, and governance.
Design and build AI agents and ML models for a government-focused AI platform, integrating RAG pipelines and enterprise data to power secure, compliant automation.
Design, build, and deploy AI solutions using LLMs, RAG, and agents for the space sector, focusing on innovation and optimization.
Build and deploy enterprise-grade AI agents that automate multi-step workflows across finance, sales, and support using LLMs, RAG, and agentic orchestration in a fintech platform.
Backend developer builds Java/Kotlin microservices with REST APIs, integrates LLM agents using Spring AI/LangChain, and designs RAG systems with vector databases for AI-driven business services.
Build and deploy production-grade generative AI systems for enterprise customers, coding agentic workflows and integrating them with live infrastructure using Google Cloud’s AI stack.
Lead AI engineering projects, architecting and deploying Classical, Generative, and Agentic AI solutions in Python while mentoring teams and aligning with client needs.
Build and ship an AI agent that automates car-rental sales and support: design prompts, integrate with CRM, and tune conversational flows to handle bookings, extensions, and FAQs.
Build and deploy AI agents and RAG systems using TypeScript/Node.js and React, integrating LLM APIs with tool use and structured outputs.
Build and optimize multi-agent LLM systems and RAG pipelines for city-scale digital services using Python, FastAPI, and async pipelines.
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