Work on the core AI tutoring system including prompt architectures, agentic workflows, real-time adaptive behaviors, experimentation and custom evaluation metrics. Role requires production software engineering (Python), cloud and CI/CD experience, and 1+ years building complex LLM-based systems; collaborate with educators and product teams to translate pedagogical goals into technical solutions.

Senior-level engineering role on Datadog's Cloud FinOps team focused on designing scalable platforms and models to provide visibility into cloud infrastructure costs (AWS, GCP, Azure), enable cost attribution and forecasting, and influence company-wide decisions on infrastructure and AI usage. Hybrid role based in New York with cross-functional collaboration across Finance, Engineering, and executive leadership.

Role to design and deploy agentic AI finance platform and production automation (reconciliations, close, audit prep, treasury monitoring, reporting) while ensuring SOX-compliant controls, auditability, and governance. Hands-on building with Python, LLM APIs (Claude/Anthropic), workflow engines (n8n or equivalent), and agent coordination layers (MCP or similar). Involves discovery, architecture, integration with finance systems (NetSuite, BlackLine, Kyriba, Fireblocks, Lukka), training finance users, and measuring operational impact.

Owner of the AI-native finance platform: assess finance operations, design the long-term agentic architecture, and deploy production agentic workflows (reconciliations, close, treasury monitoring, reporting, controls). Role requires hands-on experience deploying agentic/LLM-orchestrated systems in production, Python-based orchestration, integration with finance systems (e.g., NetSuite, BlackLine), and designing automation that preserves SOX-level controls and auditability.

Work with sales, business and developer teams to support customers and developers in adopting NVIDIA libraries and GPU-based platforms for the energy industry. Requires MS/PhD and a minimum of 5 years' experience in AI/ML (including DL, NLP, or Generative AI) and industrial experience with power grid software and grid operations; strong skills in Python/C++, PyTorch/TensorFlow, GPU/accelerated computing, containers and distributed systems.

Senior, hands-on individual contributor role responsible for owning design and delivery of AI-powered automation tools that integrate LLMs, text-to-image, and text-to-voice into production creative workflows. Requires ~7+ years building enterprise-grade software, 1+ years leading technical teams, strong full-stack experience (TypeScript, React; Python a plus), AWS (S3, RDS, Lambda), and proven experience integrating AI APIs (e.g., OpenAI, Fal.ai). Remote-first, focused on LATAM.

Nearform seeks a Senior AI Python Software Engineer for a permanent, remote role for candidates based in Canada (no visa sponsorship). Responsibilities include designing and building Python applications, data storage solutions, performance optimisation, and collaborating with clients. Requires deep Python and AI framework experience, familiarity with agentic frameworks (e.g., LangGraph, Agentspace), Git, testing (unit/integration/e2e), CI/CD, cloud and database experience. Frequent travel to US client sites is required.

Senior/staff-level ML engineering role at Reddit focused on architecting, building, and deploying large-scale ML systems (recommendation, search, representation learning, LLM/GenAI). Responsible for driving technical strategy, cross-functional collaboration, mentoring engineers, and productionizing models using tools such as TensorFlow, PyTorch, Hugging Face, Python, and Go. Base salary range listed: $230,000–$322,000 USD per year.

Join Veeva's Data Cloud AI team to productize and scale ML/AI tools. Responsibilities include building genAI solutions, designing end-to-end AI pipelines, developing ML infrastructure and CI/CD, collaborating with cross-functional teams, and partnering on data annotation and monitoring. Required: 4+ years professional software development, 2+ years cloud development (preferably AWS), 2+ years as an ML engineer, strong Python skills, and experience with Terraform, Kubernetes, and data engineering.

Primary architect and builder of AI/LLM-powered HR solutions: design and deploy agentic workflows (n8n, Claude API, Python, MCP), build multi-agent tool-using systems integrated with HRIS, ATS and payroll, enforce governance/risk controls and data classification, produce documentation and runbooks, and train People team members. Requires 5+ years software engineering experience and 2+ years building AI/ML-powered applications or agentic systems plus HR/People operations experience.

Hands-on role designing, deploying, and governing AI/LLM-driven HR automations that integrate HRIS, ATS, payroll, and other tools. Requires 5+ years software engineering (2+ years on AI/ML systems) and experience with tools such as n8n, Python, Claude/Anthropic, and deep familiarity with Workday and employee data compliance.

Remote (India) role leading the CXAI Engineering team to build and scale an AI-driven Automated Resolution platform. Responsibilities include roadmap ownership, integrating third-party AI, scaling in-house LLM infrastructure, defining architecture across vector databases and context management, enabling secure agent actions, and owning operational excellence. Requires 8+ years of software engineering experience (including 2+ years leading teams) and experience with LLMs, RAG, vector DBs, Golang, AWS, and Kubernetes. Listed annual base salary: INR 9,424,500.

Role to analyze and improve performance of NVIDIA's deep learning inference ecosystem (TensorRT, TensorRT-EdgeLLM, Torch-TensorRT). Responsibilities include benchmarking, performance analysis, implementing graph compiler algorithms, operators and code generators, and collaborating across teams. Requires a BS/MS/PhD or equivalent, at least 3 years' relevant software development experience, strong C++/Python skills, experience with DL frameworks and inference libraries, and performance optimization experience.

Owner of end-to-end AI compliance solutions: design and deploy agentic workflows (n8n, Claude API, Python, MCP), automate compliance use cases (alert prescreening, narrative generation, EDD, regulatory summarization), ensure auditability and regulatory compliance (GDPR, AML retention, sanctions), and transfer capability to Compliance teams. Requires 8+ years in compliance or RegTech with hands-on experience integrating systems via APIs and deploying production AI/automation solutions.

Senior/principal product role owning end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across Flights, Hotels, Cars, and Ancillaries. Requires 5+ years PM experience building AI-native, model-driven systems; hands-on experience with LLMs/prompts, SQL over large transactional datasets, model lifecycle management, anomaly detection, and pricing/financial systems. Role partners with Data Science, Engineering, Finance, and Commercial teams. Based in the United Kingdom (remote).

NVIDIA seeks a Principal Deep Learning Senior Engineer for end-to-end autonomous driving to design and train large-scale generative, imitation, and reinforcement learning models (LLM/VLM/VLA), integrate models with vehicle firmware, improve data generation strategies, and deploy production-grade ML systems. Requires strong Python and C++ skills, deep learning architecture knowledge, and extensive experience in AV/related fields (Master's +13 years or PhD +11 years).

Join Calendly’s Data Science & Machine Learning team to design, implement, and operate GenAI and ML-powered product features end-to-end. Requires 6+ years industry experience shipping production ML, expertise with foundation models (fine-tuning, prompt engineering), strong programming and data engineering skills, and experience with deployment pipelines, monitoring, and incident response. Candidates must be authorized to work in the United States.

The Home Depot seeks a Manager, AI Platform Engineering to lead a team building and operating an enterprise Generative AI platform, focusing on multi-model orchestration, AI agents, secure production deployments, and cross-functional collaboration. Requires software engineering experience (minimum 5 years), strong knowledge of Java/OOP, CI/CD, containerization (Docker/Kubernetes), cloud platforms (Azure/GCP), and familiarity with security, privacy, and responsible AI practices. Role includes people leadership, delivery execution, support, and occasional travel (5–20%).

Datadog is hiring a Senior AI Engineer in Paris to design, prototype, and productionize LLM-based agents and tools that assist developers (e.g., generating tests, fixing bugs, improving performance). The role involves working with designers, PMs, data scientists, and other teams to build prompts, evals, agent tooling, and integrations (such as IDE extensions and instrumentation). Requires at least 5 years of backend engineering experience (Go, Java, Python) and prior experience shipping software that uses LLMs or related large-scale ML systems, plus experience building developer tools.

Join the AI team to perform applied research on problems related to home design and visual understanding. Work with raw and unstructured data (images, video, 3D point clouds, meshes, text), design and run experiments, train and evaluate ML/DL models, and implement prototypes/MVPs for production. Requires 4+ years in AI/ML research or applied machine learning and proficiency in Python and deep learning frameworks (TensorFlow or PyTorch).