Veeva seeks a Principal Software Engineer (Python) to help build an AI-driven enterprise SaaS platform. Responsibilities include full feature ownership, technical design, production support, and mentoring. Requires 12+ years of software development experience, production-level Python, experience with cloud-scale SaaS, and excellent English communication. Based in Raleigh, NC with flexible Work Anywhere options; no visa sponsorship provided.

Arize AI is hiring a Forward Deployed AI Engineer to work with enterprise AI teams from the New York City metro area to design, implement, and scale production-grade generative AI observability and evaluation programs. The role requires 2+ years of software development experience, proficiency in at least two of Python/Java/TypeScript, experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes), and strong client-facing and project management skills.

Arize AI seeks a Forward Deployed Engineer based in the Singapore area to partner with enterprise AI teams on production-grade GenAI observability and evaluation. Responsibilities include designing and implementing integrations and tooling, managing multiple client engagements, and collaborating with Sales, CS, Product, and Engineering. Requires 2+ years software development experience, proficiency in at least two of Python/Java/TypeScript, experience with MLOps/Generative AI, and working knowledge of public cloud platforms and container orchestration (Docker, Kubernetes).

Role involves end-to-end development of credit risk and portfolio models—data exploration, feature development, prototyping, deployment, monitoring, and iteration. Requires strong quantitative background (statistics, ML, optimization, economics), Python and SQL experience, and a track record shipping ML products in production. 5+ years industry experience (or 3+ with PhD).

Hiring a Senior AI Software Engineer on the GenAI Infrastructure team to design, build, ship, and operate production GenAI capabilities (AI agents, RAG pipelines, tool-calling, LLM orchestration) and supporting backend services, integrations, and observability. Requires 6+ years experience, strong Python and backend engineering skills, and hands-on experience with LLM-powered applications, distributed systems, security, and scalable production architecture.

Work on the open-source Triton compiler to design and implement compiler technology (using MLIR and Triton's Python DSL), optimize high-level kernels to efficient low-level GPU code, and hand-tune critical paths (inline PTX). Collaborate with hardware architects and the CUDA compiler team; experience tuning BLAS/deep-learning kernels, numerics/linear algebra, and ML compilers (TVM/MLIR) is a plus. Base salary range: 184,000 USD - 287,500 USD per year.

Twilio is hiring a Staff Enterprise Security Engineer (AI Security) to lead technical strategy and engineering for securing the enterprise AI ecosystem. The role requires designing secure reference architectures, building decision infrastructure and guardrails for first- and third-party AI agents, and collaborating across security domains. Required: 7+ years in security/infrastructure security, 2+ years in technical leadership, and expertise in cloud (AWS/GCP), container security (Kubernetes), and programming (Python, Go, Java).

Lead the identification, prioritization and delivery of AI-forward technologies for network partners and the global organization, including classroom data tools, learning platforms and constituent feedback systems. Manage a small team (two solutions engineers and a UI/UX specialist), build a community of technology enthusiasts across the network, gather requirements, define success metrics, and coordinate implementation with internal teams and external partners. Role is 100% remote, three-year fixed-term, requires valid local work authorization, and requests application materials in English.

Senior engineer responsible for owning GPU/accelerator clusters and related stack (drivers, runtimes, device plugins, node config, schedulers, serving frameworks) to enable in-house model training and inference. Requires 5+ years in infrastructure engineering with hands-on experience operating GPU or accelerator-backed production environments, strong systems fundamentals (Linux, networking, storage, containers, Kubernetes), Python proficiency, and experience with ML serving frameworks and observability.

CircleCI seeks a Senior Software Engineer to define technical direction and build AI-native full-stack features using Go, React, and TypeScript. Responsibilities include owning end-to-end feature delivery, inventing developer-facing interfaces for autonomous pipelines, championing observability (Honeycomb, Datadog, Rollbar), leading system and API design, and mentoring engineers. Location listed as Remote, Ontario, Canada. 5+ years production full-stack experience required; Canada base pay range provided.

Arize AI seeks an AI Application Engineer (based in Singapore) to debug and fix platform issues, build internal generative-AI tools and copilots, and prototype customer use cases. Required: 2–5 years software experience, strong Python and Go skills, hands-on generative AI/LLM work, familiarity with OpenTelemetry and distributed tracing, and willingness to work cross-functionally with Engineering, Product, and Solutions. Customer-facing experience and open-source contributions are bonuses.

Capital One seeks a Sr Lead Software Engineer (Full Stack, AI) to develop AI-driven shopping solutions. Requires a bachelor’s degree and at least 6 years of software engineering experience, hands-on with languages and tools such as JavaScript, TypeScript, Python, Go, SQL, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Position is remote-eligible and Capital One may sponsor employment authorization.

NVIDIA seeks a Senior DL Algorithms Engineer to enable and optimize open LLM/Omni models (e.g., Nemotron, Cosmos) on NVIDIA's accelerated inference software stack. Responsibilities include contributing to open-source frameworks (TRT-LLM, vLLM, SGLang, FlashInfer), profiling and removing bottlenecks across the inference stack, benchmarking, and co-designing with partner teams. Requires 3+ years' experience, strong deep learning and inference background, GPU performance optimization, PyTorch or equivalent, and understanding of computer/GPU architecture.

Lead model development and MLOps for GenAI Security at Reddit: define problems, assemble and label datasets, build ETL and training pipelines, train and evaluate deep learning models (transformers, embeddings, sequence models), deploy and monitor production models, and partner with cross-functional teams. Requires 5+ years of production ML/deep learning experience and hands-on use of frameworks such as PyTorch or TensorFlow.

Role focuses on research, implementation, and validation of model and algorithm improvements for human-centric video generation and world models. Responsibilities include prototyping spatial multimodal and neural-rendering approaches, improving training and inference efficiency, defining training objectives for sim-to-real/real-to-sim generalization, building domain-specific benchmarks, and translating research into production-grade checkpoints and integrations. Requires PhD or equivalent, 8+ years applied research/industry experience, 3+ years designing/training generative models, and advanced proficiency in Python, PyTorch, C++, and CUDA.

Join GitHub's Copilot Agents organization to design, implement, and operate Blackbird—the platform's lexical and semantic code search engine. Responsibilities include building scalable, high-performance code search, integrating AI/ML features and agents, driving technical roadmap, participating in on-call rotations, and mentoring other engineers. Required experience ranges (minimum explicitly stated in posting is 3+ years in certain qualification paths); preferred experience includes web-scale search, systems programming (Rust), and AI/ML integration.

Work at the intersection of technical support, workflow automation, and applied AI to design and implement agentic AI systems, ticket triage, routing, knowledge retrieval, case summarization, and operational insights. Requires at least 3 years of relevant software, automation, or applied AI experience, strong Python and API skills, and experience building production internal tools; role is remote-first and lists a salary range of 125,000–170,000 USD per year.

Senior product-focused AI engineering role responsible for designing, developing, and operating AI-powered features that integrate and orchestrate multiple LLMs. Requires 5+ years of backend/full-stack experience, strong expertise with LLMs and AI model integration, production observability, Postgres/MySQL, Elasticsearch, and knowledge of AI privacy/security/compliance. Role is listed as remote for the United States; visa sponsorship for engineering/product roles is case-dependent per the posting.

Build and operate scalable AI platform services for deployment, orchestration, serving, and lifecycle management of LLMs; integrate multiple LLM providers; develop backend APIs and infrastructure for monitoring, logging, and automated evaluation; apply LLMs to product features; and drive best practices for AI privacy, security, compliance, scalability, and cost efficiency. Role requires deep experience in backend engineering, distributed systems, cloud-native technologies, MLOps, and applied LLM work.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.