AI Engineering Jobs in New York
AI Engineering Jobs in New York, page 10
Current Master's, AI Engineering Internship Program - Summer 2027
Capital One
This is a paid, full-time, twelve-week AI Engineering Internship Program for Summer 2027, running from June through August. Interns will work on delivering industry-leading agentic capabilities and scalable, high-performance AI infrastructure, contributing to AI applications and platform capabilities that power customer-facing experiences with GenAI workflows. The program aims to build AI systems and shape ideas for AI-native experiences and products for over 100 million customers, with the potential for evaluation for a full-time position upon graduation.
$147k - $147k
Current PhD, AI Engineering Internship Program - Summer 2027
Capital One
This is a full-time paid internship program spanning twelve weeks from June through August, requiring in-person attendance at the assigned location in New York, NY, in accordance with Capital One’s hybrid working model. Interns will be evaluated for a full-time position upon graduation. The program focuses on building industry-leading agentic capabilities and scalable, high-performance AI infrastructure, contributing to AI-native experiences and products for over 100 million customers. You will work on the Intelligent Foundations and Experiences (IFX) team, advancing the state-of-the-art in AI science and engineering.
$176k - $176k
Software Engineer, Applied AI - Frontier Engineering (NYC)
Mercor
Mercor is seeking a Software Engineer for their Applied AI - Frontier Engineering team to build, deploy, and operate systems that bridge frontier AI research and data delivery. This role involves high ownership and deep technical work, tackling ill-defined problems, prototyping with researchers and customers, and scaling systems from experiments to production. You will manage projects end-to-end, including requirements gathering, data creation pipelines, and improving model-adjacent infrastructure, while collaborating with AI labs and internal teams to deliver impactful applied AI solutions.
$160k - $500k
Senior Software Engineer: AI
Swayable
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. The Director of AI will be a builder, researcher, developer, and thought-partner to the CEO and CTO, responsible for discovering, prototyping, and proving out high-value applications of cutting-edge AI across business operations, product, and fundamental research. This role offers a unique opportunity to leverage significant resources, including a large dataset of RCT survey experiment results, an established team of engineers and scientists, academic partnerships, and direct access to enterprise customers for rapid product development.
$175k - $250k
Senior Software Engineer, Training & Experimentation
Lightning AI
Lightning AI is seeking a Senior Software Engineer to join the Training & Experimentation team. This team builds the platform that enables developers to experiment at scale and train their own intelligence, covering everything from foundation model training to fine-tuning open-source models and launching distributed training jobs. The role involves designing and scaling backend systems to make AI development faster, more reliable, and easier to use, working across distributed training infrastructure, workload orchestration, experiment management, developer tooling, and platform APIs. This is an opportunity to build systems that support real-world AI workloads at scale and shape the developer experience for a global user base.
$180k - $250k
Senior Software Engineer, Agents
Lightning AI
Lightning AI is seeking a Senior Software Engineer to join their Agents team, focusing on building the infrastructure for the next generation of AI applications. This role involves designing and developing backend systems for AI agent orchestration, tool execution, workflow management, and state handling. You will create scalable APIs and reliable infrastructure for long-running, distributed AI workflows, partnering with product, research, and platform engineering teams. The goal is to make building production-ready agentic applications as simple as deploying any modern software service, ensuring these capabilities are reliable, scalable, and intuitive for developers.
$180k - $250k
AI Platform Support Engineer (US)
Lightning AI
Lightning AI is seeking an AI Platform Support Engineer to join their US Customer Experience team. This role is designed for individuals who are technical partners to ML teams, helping them diagnose and resolve complex issues related to large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms. You will be instrumental in supporting engineers as they train models, deploy inference systems, and scale GPU workloads in production, tackling problems ranging from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking, and storage performance. This position offers exposure to diverse AI workloads and the opportunity to shape the infrastructure powering future ML applications.
$115k - $140k
Staff Product Engineer - Search FX (Discovery Experience)
Faire
Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.
$231k - $318k
Member of Technical Staff (Evals & Post-Training)
Ambral
Ambral Labs is building a platform to help enterprises leverage their historical data to improve AI model performance. The system reconstructs past company workflows into replayable environments, allowing for the evaluation and enhancement of agent behavior through reinforcement learning and other post-training techniques. This enables companies to develop better, more cost-efficient AI models that they own and control, rather than relying on third-party providers. Having graduated from YC and secured significant funding, Ambral Labs is now expanding its founding team.
$165k - $325k
