Nearform is hiring a Senior Software Engineer to design and build Python applications and AI-enabled solutions. Role requires ~8+ years' commercial experience, deep Python and AI/LLM knowledge, experience with Kubernetes, cloud, databases, CI/CD, testing, Git, and agile delivery. Position is full-time, permanent, based in the United States (authorized to work without sponsorship), involves travel to U.S. client sites, and offers a salary range of $150,000–$180,000 plus bonus and benefits.

Lead architecture and implementation of Agentic AI systems and a reusable primitives and orchestration platform to automate high-volume customer support and compliance processes. Drive technical strategy for moving LLM-based applications to production (grounding, hallucination reduction, reliability), partner with product/compliance/operations, and mentor senior engineers. Remote-first role based in the USA; quarterly in-person working sessions expected. Salary range (base): $253,895 — $298,700 USD per year.

Work on design and training of generative, imitation, and reinforcement learning models to improve planning and reasoning for autonomous driving; build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world deployment; explore data generation strategies; collaborate to deploy production-grade, safety-critical ML integrated with vehicle firmware. Requires strong Python and C++ skills, experience with deep learning frameworks, and demonstrated deployment of ML at scale. Education/experience: PhD +4 years or MS (or equivalent) +6 years in a related technical field.

New college grad (2026) position building ML and AI systems for circuit design and design automation (VLSI/ASIC/EDA). Work includes silicon data analysis, SPICE correlation, circuit optimization, design-space exploration, and integrating models with ML and visualization tools. Requires a Master's or PhD (or equivalent experience) and proficiency in Python and C++.

Work on integrating communication-library features (NCCL, NVSHMEM, GPUDirect) into AI frameworks and toolchains, perform workload and performance analysis on multi-GPU clusters, author compute/communication kernels, and influence communication-library roadmaps. Requires 5+ years of software engineering and HPC/AI experience; role based in US locations (with remote option) and includes specified salary ranges.

The role is for an AI Platform Engineer on the IT Enterprise AI team responsible for scaling cloud infrastructure (AWS/GCP), implementing agent identity and security (Okta, OAuth2/OIDC), creating test/prototyping environments, evaluating AI vendors, and designing observability/telemetry for internal AI agents. Core stack includes Python/TypeScript, Docker/Kubernetes, Terraform and CI/CD for model deployments.

Lead hands-on design and prototyping of AI Agent applications (data flow, orchestration, prompts) and work with engineering, UX, and application PMs to deliver production solutions that accelerate clinical trials, regulatory submissions, or pharmacovigilance. Requires 5+ years in enterprise software product management/engineering/consulting with at least 2 years focused on AI/ML, plus Python and experience with AI frameworks, model integration, and prompt engineering.

Ramp's Applied AI team seeks a full-stack engineer to ship end-to-end AI projects and build infrastructure for production LLM inference and fine-tuning. Work includes AI Agents, RAG, structured extraction (jsonformer), internal tools for customer-facing teams, and scaling AI solutions across the platform.

Lead technical strategy and architecture for Docker's containerized AI agent platform, contribute to and evolve the open-source Docker Agent project, build runtimes and deployment/orchestration capabilities, define evaluation and observability standards, and mentor senior engineers. Requires 10+ years software engineering experience (3+ in technical leadership), strong Go proficiency, AI/LLM and containerization experience. Role is remote-first with a London office and limited in-office attendance (1x/month); no visa sponsorship provided.

Work on Docker Agent (cagent) to design and implement containerized runtimes for AI agents. Responsibilities include expanding cagent, agent runtime development, RAG integration, evaluation frameworks, rapid prototyping, and community engagement. Role is remote-first with a flexible hybrid schedule but candidates must be located in London or a reasonable commuting distance. Docker does not offer visa sponsorship for this role.

Procurify is hiring an Engineering Manager, AI Engineering to lead a team of AI engineers in designing, building, and operating LLM-powered applications, RAG systems, agentic workflows, and AI platform capabilities. The role is a player‑coach position requiring hands-on technical leadership, experience shipping production AI/ML services, and expertise with tools like Python, Azure/OpenAI or AWS Bedrock, Databricks, Kubernetes, and vector databases. The position is remote-first and open to work-from-Canada candidates; listed base salary range is 184,000–205,000 CAD per year.

Netguru seeks a Senior Python Developer on a freelance B2B contract (full-time, long-term), remote but based in Poland only. Required: commercial experience building AI agents for image processing (ideally Gemini), strong Apache Airflow experience, Azure, Docker, FastAPI, and testing with Pytest. Polish C2 required; English B2+/C1 indicated. Salary up to 139 PLN/hour. Start: ASAP.

Join NVIDIA Research Singapore to research, design and accelerate generative AI models (including LLMs, visual generation, and robotics). Responsibilities include publishing research, collaborating across teams, mentoring interns and transferring technology to product groups. Requires 2 years' experience, strong research record (publications at top conferences), proficiency in Python (prototype), and familiarity with ML frameworks such as PyTorch; C++/CUDA and parallel programming are a plus.

Work with science and research institutes in Japan to promote and deploy NVIDIA GPU-accelerated solutions for machine learning and generative AI. Responsibilities include leading research collaborations, designing architectures and demos, creating and running proofs of concept, onboarding developers to NVIDIA AI platforms (NIMs, NeMo), and presenting technical topics. Requires 5+ years' experience in generative AI/deep learning, strong coding skills (Python, C/C++, Bash, Linux), and excellent Japanese and business-level English communication.

NVIDIA seeks a Solutions Architect (Data Science) in ANZ to enable GSIs and AI consultancies on generative AI and LLM solutions (Nemo/NIMs), build GenAI full-stack solutions, run PoCs/demos, and support GPU-accelerated deployments. Requires deep expertise in generative AI/LLMs, ML/DL frameworks, Python, GPU/parallel computing, container orchestration and 5+ years' related experience.

Researches and develops techniques to accelerate deep learning, machine learning, and AI workloads on modern CPU and GPU architectures. Works with developers and researchers to analyze and optimize complex algorithms, publish findings, and influence hardware and software design. Requires a Masters (or equivalent) and 8+ years of relevant experience with C/C++, CUDA and parallel programming frameworks.

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.

Work on GPU communications libraries (e.g., NCCL, NVSHMEM, UCX) to improve communication performance for large-scale Deep Learning and HPC systems. Responsibilities include co-designing HW/SW solutions, building proofs-of-concept, running experiments and simulations, and performance modeling. Requires M.S./Ph.D. or equivalent, 5+ years experience, strong C/C++, parallel programming/runtime experience, Linux, and deep understanding of system and network architecture.

NVIDIA seeks a Solutions Architect for its AI Software Segment to develop end-to-end AI solutions, support LLMs and multimodal models, and guide customers through data processing, training, evaluation, RL, and model optimization. Requires 5+ years with AI frameworks (PyTorch, JAX, TensorFlow), Python, Linux, experience with distributed training tools (Kubernetes, SLURM), and expertise in GPU-based model training. Location noted as US (remote) and Santa Clara; salary range stated.

Work on JAX core design and performance optimizations for NVIDIA products, collaborating with AI researchers and cross-functional teams. Requires BS or equivalent and 6+ years' relevant experience, proficiency in C/C++ and Python, familiarity with ML frameworks (e.g., PyTorch, TensorFlow), and strong knowledge of CPU/GPU architectures and distributed training. Base salary ranges provided: 184,000–356,500 USD/year depending on level.