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Build and deploy autonomous AI agents using LangChain/Crew.ai and optimize RAG systems to deliver enterprise automation solutions for clients.
Optimize and scale an AI-powered influencer marketing platform’s data pipeline, tuning models and improving semantic search with multi-modal embeddings in a serverless AWS environment.
Lead a team to build and govern scalable data platforms and pipelines for real estate management, integrating property, lease, and facilities data using cloud and distributed processing tools.
Lead AI engineering strategy and architecture for Deloitte’s Applied AI products, integrating GenAI and agentic systems into scalable, enterprise-grade solutions while mentoring teams and setting engineering standards.
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.
Leads a 50+ engineer team to architect, scale, and modernize Albertsons’ data platform (lakehouse, Medallion, streaming) while embedding AI-driven automation (agentic AI, RAG, LLM integration) to accelerate engineering velocity and enable AI-ready data products for retail operations like supply chain, merchandising, and store operations.
Build and maintain enterprise knowledge services—vector databases, semantic search, and governance—to power Amgen’s AI solutions using Databricks, Spark, and AWS.
Lead the design and deployment of scalable AI/ML solutions, including LLM-based apps, RAG, and agentic AI, for Singapore’s Home Team using cloud and on-prem infrastructure.
Oversee robotics lab initiatives, tracking progress, blockers, and timelines for teleoperation, data collection, and model evaluation across multi-discipline teams.
Embed within client teams to design and deploy agentic AI workflows and autonomous digital workers, bridging enterprise systems with frontier LLMs and orchestration frameworks.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Responsibilities: • Engage with customers to understand verification challenges and identify suitable…
Build and ship production-grade AI systems (LLMs, predictive models, automation) for Zalora’s e-commerce platform, integrating with BigQuery, dbt, and Airflow.
Design and govern scalable data architectures using Microsoft Fabric, Azure Synapse, and Power BI to modernize legacy systems and enable AI-driven analytics for public-sector clients.
Build AI-powered developer platforms and agentic workflows that embed LLMs and RAG into OCBC’s software delivery lifecycle to automate coding, reviews, testing, and deployments.
Build and fine-tune domain-specific LLMs, create agentic workflows, and integrate applications using Python and transformers to automate data-driven processes for Dell’s Sales Renewals team.
Senior Full Stack Developer builds scalable web apps using Python/Java backend, React frontend, and Elasticsearch; optional AI work with LangChain, LLMs, and vector embeddings.
Build and deploy production AI systems for a global bio-resources company, including GenAI pipelines, document processing, and computer vision for industrial operations.
Build and deploy AI-native features and agent workflows for a global fintech insurance company, integrating LLMs, retrieval systems, and ML models into production-grade applications.
Build and deploy LLM, RAG, and agentic AI systems using LangChain, LangGraph, and vector databases, shipping production-ready solutions on AWS/GCP/Azure.
Build and deploy production-grade AI systems, including agentic AI, RAG, and knowledge graphs, using Python and cloud-native tools on GCP.
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