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).

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.

Remote Staff Forward Deployed Engineer focused on architecting, deploying, benchmarking, and optimizing production AI/agentic systems on DigitalOcean's AI‑Native Cloud. Role includes customer engagements (travel up to 30%), platform validation, building deployment tooling, and collaborating with GPU vendors and internal product teams.

Customer-facing Staff Forward Deployed Engineer responsible for architecting, deploying, benchmarking, and optimizing production AI/agentic systems (inference, runtimes, orchestration) on DigitalOcean’s platform. Role includes building deployment frameworks and tooling, validating platform capabilities, collaborating with vendors and partners, and up to 30% travel for customer engagements.

Project-based role evaluating end-to-end interactions with AI coding agents (Codex, Claude Code, Cursor). Responsibilities include judging usefulness, high-level correctness, reasoning quality, and whether responses match strong engineering judgment; providing clear, opinionated feedback and distinguishing response quality levels. Seeking staff/principal-level engineers experienced with TypeScript/JavaScript or Python and familiar with AI-assisted workflows. Compensation varies by region (up to $200/hr US/Canada). Remote, ongoing; applicants join a talent bench and are contacted as projects open.

Twilio is hiring a Staff Enterprise Security Engineer (AI Security) to lead technical strategy and engineering execution for securing the enterprise AI ecosystem. Responsibilities include designing secure reference architectures, establishing AI vetting frameworks, developing agentic AI identity/posture management, coding (Python/Go/Java), and using IaC to maintain enterprise security posture. The role is remote and based in Ireland or the UK and requires 7+ years in security engineering and cloud/container security expertise.

NVIDIA is hiring a Solutions Architect to integrate GPU-accelerated software and tools with OEM partners, design multi-TB/PB accelerated pipelines, develop proofs-of-concept, and guide Agentic AI workflows (semantic search, RAG, GNN). Requires 5+ years of relevant experience and strong skills in Python, C/C++, Linux, Spark, ML/DL, and GPU acceleration. Salary ranges provided (USD 152,000–287,500/year).

Client-facing role responsible for architecting end-to-end, secure, scalable GenAI solutions on Gemini Enterprise, including multi-agent workflows, RAG-based data grounding, and security/governance. Requires 6+ years in solutions/cloud architecture or senior technical consulting with deep hands-on experience in Gemini, Google Workspace integrations, BigQuery, LLMs, prompt engineering, and Python.

GitLab seeks a Distinguished Engineer to pioneer autonomous, agentic SDLC capabilities: identify high-impact use cases across planning, coding, security, and operations; run hands-on experiments and benchmarks; design reference architectures, guardrails, and observability; mentor senior engineers; and convert internal patterns into product features while ensuring multi-tenant, compliance, and data-governance requirements are met. Requires 10+ years engineering experience and deep expertise in AI/ML, LLMs, distributed systems, and responsible AI.

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.

Build and iterate on AI-powered product experiences (chat, remediations, codefixes) by developing backend systems, prompts, and evaluation loops to productionize LLM-driven workflows. Requires ~5+ years experience, strong backend engineering (Go or similar), hands-on experience with LLM-based systems and prompt engineering, and ability to collaborate with product and design. Kubernetes and operational remediation experience are a bonus.

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.

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.

Embed with Distribution, Logistics, Purchasing, Member Care, and Supply Chain to identify and prioritize AI and automation opportunities. Audit workflows across SAP, Salesforce, and other enterprise systems, design and build AI-powered tools and automated workflows, and document measurable process improvements. Work directly with the COO and functional leaders and establish a scalable AI practice within Operations.

Lead technical vision and delivery of scalable ML models and language-based applications at Headspace, shape the internal ML platform, partner with cross-functional teams, and mentor engineers. Required: Master's degree or equivalent, 8+ years ML engineering experience, Python, experience with vector search, embeddings, recommender systems, supervised/unsupervised/deep/reinforcement learning, LLM orchestration/RAG, and modern ML/NLP libraries (scikit-learn, PyTorch, TensorFlow, spaCy). Preferred: PhD, clinical/healthcare ML experience, familiarity with current ML literature and scalable service implementation, and AWS experience (SageMaker, Lambda, S3, DynamoDB, IAM). Position is full-time, US-based (preferred locations: San Francisco hybrid; New York City and Seattle remote). Salary range listed: $162,000–$225,000 (USD, annual) with a higher location-based range for some cities.

Chainguard seeks a Senior Software Engineer to architect and implement an automation platform for package creation, test generation, and image building. The role focuses on Go development, LLM/agent integration, developer tooling, and supply chain security; the position is remote (Canada, United States, Europe) and lists a base salary range of $157,000–$184,000 USD per year.