You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

Netguru seeks a Senior .NET Developer for a full-time freelance (B2B) assignment starting mid-July for 3 months (possible extension). Role is remote within the EU (candidate based in EU preferred/required) and requires strong C#/.NET 8+ skills, building RESTful APIs with ASP.NET Core, React and TypeScript frontend knowledge, experience with SQL Server/PostgreSQL, integrating LLMs and using AI frameworks (e.g. Semantic Kernel, LangChain), plus Git, Docker, CI/CD and experience with Google Cloud Platform. Polish and English at C1 are required.

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.

Build and optimize inference stacks (vLLM), develop and tune GPU kernels, extend compiler/DSL infrastructure, define benchmarking (including MLPerf), and architect containerized large-scale inference deployments. Requires strong Python and C/C++ skills, GPU/CUDA experience, familiarity with PyTorch and inference engines, container/orchestration experience, and advanced performance engineering; typical experience expectations are 7+ years (BS) or 5+ years (MS).

Build and evolve the agent harness used to run LLM-based agents on CAST AI's inference infrastructure. Responsibilities include designing and shipping harness features (hooks, permission gates, context compaction), owning long-horizon multi-session execution, architecting planner/executor/evaluator pipelines, managing agent memory and state persistence, and owning the harness surface (CLI/TUI/MCP/telemetry). Tech stack includes TypeScript, Go, Kubernetes, cloud providers (AWS/GCP/Azure), Prometheus/Grafana/Loki, GitLab CI, and ArgoCD. Role is remote-first and open to candidates residing in specific European countries listed in the posting.

NVIDIA is hiring a Senior HPC and AI Network Software Architect to build and evolve scalable systems for distributed AI training and real-time inference. Responsibilities include developing communication and runtime capabilities (e.g., NCCL, UCX, UCC), partnering with AI framework teams (TensorFlow, PyTorch, JAX), and collaborating on hardware/system features across GPUs, DPUs, and interconnects. Requires Ph.D. or equivalent experience, 5+ years in systems programming, parallel/distributed computing or HPC, and strong C++, Python, and GPU programming experience. Locations referenced: UK, Poland, Germany, Switzerland (Zurich) and remote.

Role to optimize inference speed and carry out production deployment of Cosmos foundation models on diverse GPU platforms; profile and remove bottlenecks in deep learning workloads. Requires 5+ years' experience, MSc/PhD or equivalent, strong deep learning background, Python and PyTorch skills, and experience with inference optimization techniques and frameworks (e.g., TensorRT, vLLM).

Join DuckDuckGo's Data Science team to drive product and business impact via statistical modeling, experiment design, Bayesian marketing analysis, classifier implementation, and production ML/NLP/LLM work. Role requires 7+ years' experience, production-grade Python, advanced SQL and familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid). Position is remote with expected ~40 hours/week and at least two company travel events per year. Compensation is $178,500 USD annually plus stock options.

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.

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.

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.

Role involves guiding customers on NVIDIA compute, networking and software stacks to deliver end-to-end GenAI and Agentic AI solutions across cloud and datacenter. Requires 8+ years experience with AI/HPC clusters, hands-on cluster management (Docker, Slurm, Kubernetes, Ansible), datacenter/network/storage skills, and strong coding/debugging experience (CUDA, Python, C/C++, Bash). Poland-specific base salary ranges are provided.

NVIDIA is hiring a Senior Software Developer for an AI networking acceleration team to build a performance-oriented open-source inference framework using hardware offloads (GPU kernels, RDMA). Requires B.Sc. or equivalent and 6+ years of modern C++/C/Rust development, plus Linux experience and deep knowledge of TCP/IP, computer architecture and OS concepts. Locations listed include Czechia, Romania, Hungary and Poland (remote options). Poland base salary ranges are provided in the posting.

NVIDIA seeks a System Software Engineer for its Deep Learning Algorithms team to research, prototype, develop and optimize solutions, tools and libraries for deep learning, data analytics, machine learning or scientific computing. Requires a Bachelor's/Master's or equivalent, 8+ years of software development experience, excellent Python and C/C++ knowledge, experience designing complex decoupled systems, knowledge of design patterns, algorithms and data structures, and strong communication and documentation skills. Location listed as Poland (Warsaw) with remote option; salary ranges provided for Poland (PLN).

Netguru seeks an AI Engineer to implement Azure OpenAI API, RAG systems, fine-tune and apply open-source models, create PoCs/MVPs, and lead AI project implementations. Required skills include Python, LLM/GenAI experience (~2 years), knowledge of embeddings and vector databases, agentic workflows, LangChain/autogen, cloud platform experience (AWS or Microsoft) and C1+ English. Salary ranges are provided for B2B and employment contracts (PLN monthly).

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and inference pipelines for LLMs and generative/multimodal models. The role involves contributing to and optimizing frameworks (vLLM, SGLang, FlashInfer), using tools like CUDA, CUTLASS, Triton, and NCCL, and collaborating across teams. Requirements include a Master's/PhD or equivalent experience and 5+ years of relevant software development experience with strong C/C++ skills; Python and production inference experience are a plus.

Role to investigate and improve GPU-to-GPU and node-to-node communication performance, design and implement communication technologies, co-design HW/SW with GPU and networking architects, build proofs-of-concept, run experiments and simulations at large GPU scales. Requirements: M.S./Ph.D. (or equivalent), 3+ years relevant experience, excellent C/C++ programming and debugging, experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), strong Linux skills, and solid understanding of system and network architecture. Desirable: CUDA/NVIDIA GPU experience, knowledge of InfiniBand/RoCE/NVLink, deep learning frameworks (PyTorch, TensorFlow) and HPC application experience.

Senior role to develop scalable library software and optimize high-performance parallel numerical applications across CPU and GPU (CUDA). Requires 5+ years experience, strong C/C++ and software-development skills, performance tuning, benchmarking, and collaboration across distributed teams. Python and familiarity with CI/CD and profiling tools are desirable.