Top Artificial Intelligence Software Engineer Jobs

Build and own software connecting robots to customer businesses, including teleoperation and fleet management interfaces, task scheduling and dispatch, customer system integrations, performance dashboards, and mobile and web tools. The role involves working directly with on-site operators, designing real-time systems, and iterating quickly based on field usage.

Hands-on CTO Co-Founder responsible for defining technology strategy, architecting and building an AI-powered healthcare payments platform, leading scalable cloud-native software development, integrating billing and payment systems, and recruiting and mentoring the engineering organization. The role spans product execution from MVP to commercial scale and requires collaboration with investors, customers, and company leadership.

The Senior Frontend Engineer will own the editing experience, improve performance, support real-time collaboration, and work with design and customers on UI enhancements.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Own and scale the software platform connecting IoT hardware, AI models, cloud infrastructure, APIs, dashboards, and firmware integrations. Design distributed architectures, build reliable backend services, operate production systems, and improve observability, cost efficiency, and scalability. Collaborate with scientists, hardware engineers, product, and deployment teams while mentoring colleagues on safe AI-augmented development workflows. Contribute to technical strategy and deliver quickly in a startup environment.

Build and productionize a robotics data platform that ingests sensor data, validates and curates datasets, supports annotation workflows, and improves data quality and diversity. Develop automated labeling methods using computer vision and vision-language models, operate live pipelines, improve observability, and collaborate with research and annotation teams. The role involves taking early-stage systems to scalable production and supporting field deployments.

Lead ONDC integration by designing and implementing backend services and APIs. Ensure compliance with ONDC/Beckn standards, handle data modeling, performance tuning, API security, and transaction flows. Integrate logistics, payments, and catalog systems, write tests, conduct code reviews, and maintain high availability for ONDC services.

Build production AI-agent integrations embedded within enterprise engineering teams. Write code and scripts connecting Harness AI Agents to pipelines, repositories, ITSM tools, security systems, and infrastructure. Collaborate directly with customer engineers, prototype and deploy incrementally, create reusable integration patterns, and support customer transition to independent operation. The role requires strong CI/CD and infrastructure-as-code knowledge, integration experience, stakeholder communication, comfort with ambiguity, and frequent travel to customer sites.

Build and maintain a large case law dataset through document metadata pipelines, web scraper reliability systems, citation-resolution utilities, APIs, and evaluation benchmarks. The role requires backend technical generalism, data pipeline expertise, and basic-to-intermediate infrastructure and DevOps skills. Python and SQL are core, while ML and AI experience is beneficial. This is an in-person position in SoHo, New York City.

Build production software and scalable cloud systems for AI-powered insurance calls. Responsibilities include designing core LLM systems, refining prompts, developing privacy- and security-conscious solutions, orchestrating thousands of concurrent phone calls, integrating FHIR APIs, testing, debugging, and documenting software. The role also contributes to product direction, engineering practices, and company culture as a foundational team member.