Top AI & Machine Learning Jobs

Lead design and delivery of enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven applications (LangChain), and scalable cloud architectures (AWS, Cloudera, Databricks). Implement secure microservices/APIs, monitor model performance in production, mentor engineers, and ensure compliance with data governance and security standards.

Lead engineer to design and deliver production-grade AI solutions using LLMs, RAG, and vector search. Build enterprise knowledge bases, LLM-driven applications (LangChain), secure scalable cloud integrations (AWS, Cloudera, Databricks), APIs/microservices, and production monitoring. Mentor engineers and ensure compliance, performance, and operational excellence.

Lead design and delivery of production AI/LLM systems and RAG solutions. Build and maintain vector-based knowledge bases, APIs, and microservices. Architect scalable, secure cloud/data integrations (AWS, Cloudera, Databricks), optimize model performance, mentor engineers, and ensure compliance with data governance and security standards.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices; architect scalable cloud/data platforms (AWS, Cloudera, Databricks); implement LLM orchestration (LangChain, MCP); monitor and optimize production model performance; ensure data governance, security, and compliance; mentor engineers and contribute to technical design.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks), build APIs and microservices, implement LangChain-based apps, optimize production model performance, and mentor engineers while ensuring data governance and regulatory compliance.

Lead design and delivery of enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build LangChain-based applications, implement MCP-style orchestration, architect cloud/Databricks solutions, develop APIs/microservices, ensure security/compliance, monitor model performance, and mentor engineering teams.

Senior individual contributor building and operating production-grade AI and agentic systems. Responsibilities include model serving, pipelines, monitoring, retraining, feature engineering, partnering with data scientists to productionize models, and ensuring performance, reliability, security and governance at scale.

Senior AI Engineer to design, build, and operate production-grade AI and agentic systems. Responsibilities include model serving, monitoring, retraining, pipelines, APIs, feature engineering, partnering with data scientists, and ensuring reliability, security, and governance of AI solutions.

Senior individual contributor building, deploying, and operating production-grade AI and agentic systems. Collaborate with data scientists and platform teams to productionize models, implement serving, monitoring, retraining, and APIs, ensure reliability, security, and governance, and contribute to data preparation and feature engineering.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, and retraining pipelines. Partner with data scientists to productionize models, contribute to feature engineering and data preparation, participate in design reviews, and ensure performance, reliability, security, and governance across AI solutions.