Top AI Engineer Jobs

Design and build features that enhance user capabilities with AI, focusing on innovative interaction and integrating research insights into products.

The Software Engineer (Back End) develops server-side logic and functionality for the Blueflame AI platform, focusing on database management, API development, security implementation, and performance optimization in collaboration with other teams.

Design, build, and operate end-to-end ELT pipelines that extract structured JSON from complex leasing documents using LLMs. Optimize LLM API calls and prompts, implement validation and monitoring, and collaborate with product and engineering to evolve schemas and ensure production-ready data quality.

As an AI Software Engineer, you will develop and maintain the AI CTRL platform, troubleshoot issues, build integrations, and participate in all software development lifecycle phases.

The AI Platform Engineer is responsible for building and managing Kubernetes-based AI infrastructure, ensuring security, optimizing performance, and collaborating with teams to enhance platform capabilities.

As a Data Engineer, you will design and operate data systems, build production data pipelines, and work directly with customers to meet their needs.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

Lead architecture and implementation of the AI Private Banker full-stack platform: build Flutter mobile apps, design distributed backend services powering recommendation engines and conversational AI, integrate ML outputs into user experiences, drive technical roadmaps, mentor engineers, and ensure scalability and operational excellence across platforms.

Lead development and deployment of real-time, on-device computer vision models for outdoor home monitoring. Architect, train, and optimize transformer/CNN-hybrid models for embedded cameras, ensuring accuracy, latency, memory, and power budgets. Collaborate with firmware and platform teams, define evaluation strategies, perform failure analysis, improve long-tail robustness, and mentor engineers while setting technical direction and best practices for reproducible edge ML workflows.

Design, build, and maintain ML and CV infrastructure to support the end-to-end ML lifecycle. Develop and operate production-grade microservices and containerized deployments on cloud (primarily AWS). Collaborate cross-functionally, contribute to CI/CD and infrastructure automation, mentor engineers, and ensure high engineering and testing standards.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

The Senior Software Engineer will design, build, and maintain data infrastructure and processing systems, ensuring robust data pipelines and collaborating with stakeholders on data discovery and lineage initiatives.

Design, architect, and deploy generative AI/LLM solutions from prototype to production; work directly with clients to translate business needs into technical plans; write production-quality code integrating LLMs and ML models; collaborate with cloud, DevOps, and frontend teams; support proposals, sales, and evaluation/observability of models.

As a Senior Software Engineer at Astronomer, you will build intelligent systems, design data modeling components, and experiment with applied AI technologies while collaborating with R&D teams to enhance data workflows.

Design, build, and deploy LLM-powered applications and automation for commercial, billing, and CX teams. Partner with stakeholders to scope solutions, create data pipelines, own end-to-end deployments and monitoring, establish prompt engineering and responsible AI practices, and run internal training.

The AI/ML Engineer will design, implement, and optimize machine learning systems, particularly in NLP and Generative AI, while collaborating with a distributed team.

Lead design, build, and deploy production Generative AI/LLM solutions (including RAG pipelines); partner with stakeholders to integrate systems, define architecture and standards, coach mid-level engineers, ensure MLOps/CI-CD, and manage risk, compliance, and safety for GenAI features.

As an AI Software Engineer, you will develop AI and machine learning solutions, enhance organizational efficiency, and ensure proper documentation while collaborating within a secured environment.

As an AI Engineer, you'll leverage data to develop predictive models and algorithms, working with clients to solve complex data challenges.

The Principal AI Agentic System Engineer will design and implement advanced AI systems to enhance operations, focusing on automation and predictive analytics. Responsibilities include architecting AI solutions, collaborating with teams, and ensuring system integration and governance.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

The Senior Machine Learning Engineer will design and maintain AI applications using generative models while collaborating with teams to ensure quality execution of user stories and application support in production.

The Machine Learning Engineer II designs and optimizes AI-powered applications, collaborating with teams to develop and maintain scalable solutions using generative models.