Top Artificial Intelligence Software Engineer Jobs

Build and ship full-stack product features across HR-facing and employee health insurance platforms. Partner directly with stakeholders, own product decisions, integrate LLM-driven agents and experiences, maintain code quality, improve observability, and help establish the technical foundation using modern AI development tools.

Lead end-to-end development of scalable web applications using Node.js, React, MongoDB, and Google Cloud. Build analytics, identity resolution, personalization, integrations, and advanced visualizations using AI-assisted, spec-driven workflows. Develop LLM integrations, configure AI agents, maintain MCP servers, automate testing and CI/CD, and support observability. Serve as a Feature Lead by guiding architecture, technical specifications, documentation, and cross-functional communication.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Build and operate DeepFrame’s GPU-powered video intelligence platform, including model serving, video ingestion, indexing, search, APIs, customer connectors, and enterprise deployments across AWS, single-tenant, and on-prem environments. Own reliability, observability, performance, and infrastructure costs while collaborating with Tokyo engineering and joining customer technical meetings. Serve as the technical owner for initial US pilots and deliver customer-driven product improvements.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Lead and grow a product engineering team while contributing production code, guiding architecture, and shipping reliable user-facing products. Partner across product, design, clinical, AI, and operations teams to define priorities and technical solutions. Oversee frontend, backend, integrations, AI workflows, production operations, and coding-agent adoption. Hire and coach engineers, improve delivery quality, evaluate product performance, and uphold patient safety, privacy, security, accessibility, and reliability standards.

Develop backend infrastructure, data pipelines, web services, and fleet-management systems for autonomous industrial robots. Responsibilities include designing data stores for video and training data, supporting machine-learning compute clusters, maintaining customer-facing services, and diagnosing network issues. The role partners with machine learning, robot control, and DevOps teams and requires Python, distributed systems, databases, Linux, networking, and scalable data-processing experience.

Develop and maintain scalable backend services for an AI platform, integrate and optimize LLM and generative AI technologies, build APIs on Google Cloud, and improve performance and reliability for real-time customer engagement workflows. Collaborate with marketing, sales, and product teams while proposing innovative backend and AI solutions in a fast-paced startup environment.