Work on Reddit's Notifications Relevance team to design and implement large-scale recommendation systems (retrieval, ranking, budget optimization), deploy ML models and LLMs in production, ensure monitoring and product integration, and mentor senior/staff engineers. Requires 10+ years' industry experience with large-scale recommendation systems and experience with PyTorch/TensorFlow, Python and/or Golang.

Parexel seeks an AI Strategy and Implementation Lead to drive Medical Communications AI strategy and deliver end-to-end implementation of AI-driven solutions (including AI agents on LLM platforms). The role requires demonstrable experience in medical communications or medical affairs, hands-on AI/LLM development and deployment, project and change management, and stakeholder engagement; it is a remote role based in select EMEA countries (listing includes Ireland and the United Kingdom).

Senior Principal Architect in NVIDIA's Advanced Development team working on GPU Networking to optimize AI workloads. Responsibilities include leading vision, architecture, and proof-of-concept development across distributed AI, HPC, SDN, virtualization, storage and related data center technologies. Requires M.Sc. or Ph.D. (or equivalent), 8+ years industry experience in systems architecture or related fields, experience with virtualization, networking, storage, Windows and Linux drivers, and strong performance profiling and optimization skills.

Own production readiness and performance of AI applications and frameworks on DGX Station, profiling workloads and driving optimizations across GPU kernels, NVLink, memory, and host interconnects. Collaborate with framework, compiler, and GPU architecture teams to validate and improve CUDA-based stack components (CUDA toolkit, cuDNN, TensorRT, NCCL, Triton, DCGM, DOCA/OFED) and maintain benchmarking and regression infrastructure. Requires 12+ years experience in systems software engineering with hands-on GPU performance analysis and deep learning framework expertise.

AE Studio seeks an experienced Alignment Scientist/Engineer to perform near-full-time alignment R&D, working autonomously on ML research, experiments, and deployments. The role requires strong skills in Python, PyTorch, modern deep learning tooling, model training/evaluation, calling model APIs, and communicating technical work; experience in alignment or ML research is expected. The position is remote-first (US candidates noted) and the posted US salary range is $180,000 to $240,000 per year.

Lead engineering and evolution of Precisely AI Studio—marketplace UI, agent execution, and MCP integration. Hands-on full-stack work (Next.js, React, TypeScript, Python/Flask, Express, MongoDB, AWS Bedrock) plus mentorship of a small development team. Partner with product and enterprise customers to design reusable AI assets, translate use cases into agent workflows, and expand integrations across LLM ecosystems (OpenAI, Anthropic Claude). Requires 7+ years' experience and at least 2 years in a tech lead role.

Hands-on technical leader reporting to the Director, Enterprise AI. Responsibilities include diagnosing business problems, mapping workflows, designing and shipping AI solutions quickly (prototypes to production), integrating with existing systems (APIs, orchestration tools, GitLab Duo Agent Platform), and measuring success with business and flow metrics. Strong engineering fundamentals, LLM/AI expertise, systems thinking, and experience with enterprise systems (e.g., Salesforce, Marketo, Zendesk) are emphasized. Role is remote with a U.S. salary range provided.

Remote staff Enterprise Security Engineer (AI Security) role responsible for designing secure reference architectures for enterprise AI platforms, establishing AI vetting frameworks, building technical guardrails, improving enterprise security posture via code and IaC, and advising leadership. Requires 7+ years in security engineering, cloud (AWS/GCP) and container (Kubernetes) security, and proficiency in Python, Go, or Java. Role is remote based in Ireland or the UK with occasional travel.

Core technical and programme lead within CX Operations owning end-to-end delivery of automation, integrations and AI agents across CX tooling (including Zendesk, REST APIs, webhooks, MCP). Hands-on building and shipping automations using code and low-code/no-code platforms, managing cross-functional stakeholders, documenting work, and using operational metrics to measure impact and iterate.

Augury seeks an Algorithm and Applied AI Scientist (DSP) to lead projects focused on advanced signal processing and data analytics for industrial manufacturers. Responsibilities include understanding physical properties of sensor data, full algorithm development lifecycle from feature discovery to production-ready models, and building predictive and anomaly classification models using time-series and textual data. The role leverages classical and modern techniques (DSP methods like STFT/FFT/Hilbert/Wavelet, statistical methods, deep learning, transformers, TGNN/TSFM, Generative AI). Requires an advanced quantitative degree, proven DSP expertise (4+ years), ML/AI experience (2+ years), Python proficiency, and technical leadership experience. Location: Haifa.

Lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications; drive research in AI for quantum algorithms; manage execution of technical projects with QPU builders and strategic partners; publish research and represent NVIDIA at conferences; support customer adoption through strategic technical engagement. Requires PhD or equivalent, 9+ years working on quantum algorithms and applications, and demonstrated technical leadership.

Join GitLab's Enterprise Technology & AI team as an AI Engineer to lead end-to-end AI initiatives from discovery through deployment. You'll map workflows, diagnose constraints, build rapid prototypes, integrate AI into existing systems (APIs, orchestration tools, GitLab CI/CD), measure flow and business metrics, and implement safety guardrails. Key technical skills include Python or JavaScript/TypeScript, REST/GraphQL, prompt engineering, LLMs (OpenAI/Anthropic/open-source), RAG and agent patterns, plus experience with enterprise systems (Salesforce, Marketo, Zendesk) and orchestration tools.

Mid-level software engineering role focused on implementing product features and services across backend and frontend, collaborating on technical design, contributing to CI/CD pipelines, testing, monitoring, and operational reliability. Requires 3+ years of professional experience, strong C#/.NET and API skills, familiarity with Docker and cloud platforms (Azure/AWS), and experience with AI development tools.

Hands-on senior engineering role building and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing), improving transcription via context injection, developing LLM-powered post-processing (grammar correction, filler removal, mention resolution), and creating voice-to-action systems. Involves evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks) and exploring multimodal (screen+voice+text) assistant capabilities while collaborating with product and platform teams.

Netguru seeks a Forward Deployment Engineer to split time between client-facing delivery (scoping, prototyping, shipping AI systems to production) and extending the company's internal AI platform (agents, MCPs, enablement tooling). Requires 5+ years' experience, production-grade Python/TypeScript, LLM and agent architecture knowledge, and client-facing pre-sales experience.

Build and automate scalable performance analysis tools and integrations for AI training and inference, collaborate with performance engineers, hardware architects, and software teams, and identify/automate detection of performance bottlenecks. Requires M.S. or PhD (or equivalent), 6+ years' relevant experience, deep knowledge of AI workloads and frameworks, and strong software skills (Python, C++).

Join Augury as an AI Applied Scientist to own the algorithm lifecycle for industrial sensor and multimodal data. The role requires 5+ years in ML (time-series, embeddings, transformers) and 2+ years working with LLMs/agentic applications, and involves research, prototyping, and deploying production-ready models using Python and cloud big-data platforms.

Udacity (an Accenture company) seeks external contractors to serve as technical mentors for Agentic AI content. Responsibilities include 1:1 video support, technical deep-dive sessions, and group Q&A. Requires 5+ years technical experience and hands-on knowledge of LLMs, prompt engineering, agent design (tooling, APIs, memory/state), RAG, multi-agent systems, and agent evaluation.

NVIDIA seeks a Senior Solutions Architect to work with customers and cloud service providers to build and deploy AI/ML and data analytics solutions using NVIDIA GPUs and software (CUDA, Triton, TensorRT-LLM) on cloud platforms (AWS, GCP, Azure, OCI). Requires 4+ years in solutions/sales engineering, experience with cloud deployments, MLOps/DevOps tools (Docker, Kubernetes), and strong communication skills. Remote work is supported and occasional travel is required. Salary ranges provided (USD yearly).

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.