Lead technical strategy and deep engagements for AI Factory networking at strategic customers, covering embedded networking products (BlueField, ConnectX) and related ecosystem (DOCA, RDMA, RoCE, InfiniBand). Requires 15+ years industry experience, deep networking and distributed systems knowledge, low-level software expertise in C/C++, and experience in performance tuning, debugging, and production hardening.

Nearform is hiring a Senior Software Engineer to design and build applications using Python and modern AI frameworks. The role is full-time, permanent and based in Ireland with remote working and frequent travel to client sites in the UK and Europe (travel expenses covered). Key responsibilities include component design and development, data storage design, performance optimisation, working in agile teams, and supporting technical leaders. Required skills include deep Python and AI experience, version control (Git), testing at multiple levels, databases, cloud environments, and CI/CD. Salary advertised up to €95,000 plus bonus and benefits.

Lead design and delivery of scalable ML solutions (Generative AI, RAG, Graph ML, LLM fine-tuning) and high-performance real-time inference services. Hands-on responsibilities include architecture, microservices, Triton/TensorRT-based inference, Python development, CI/CD, Docker/Kubernetes, cloud deployments, and mentoring engineering teams.

15Five seeks a Senior Software Engineer (fully remote, US) with 5+ years of experience to lead and contribute to AI experiences and third-party integrations (Slack, MS Teams, Calendar, Zoom, etc.). Work involves backend and frontend development with Python, React, Django, FastAPI, relational and NoSQL databases, cloud-native environments, and leveraging AI-assisted engineering tools. Salary range: $120,500–$160,000 USD/year.

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.

Role involves designing and implementing compiler optimization techniques for deep learning graphs, tensor sharding and graph partitioning for distributed training/inference, and code generation for NVIDIA GPU backends using tools such as MLIR, LLVM, and OpenAI Triton. Requires a BS/MS/PhD or equivalent, 4+ years relevant experience, strong C/C++ skills, performance analysis, and knowledge of GPU/accelerator architectures; experience with JAX, CUDA, XLA/TVM/MLIR/LLVM is a plus.

Sayari is hiring a Staff Software Engineer to lead an application squad, own architecture, ship production systems, and mentor engineers. The role requires 10+ years of software engineering experience, practical experience building with LLMs (RAG, prompt engineering, or agentic frameworks), deep proficiency with SQL/NoSQL databases (e.g., Postgres, Cassandra, Elasticsearch, graph DBs), TypeScript, backend web development, and cloud experience (GCP/AWS/Azure). Target base salary is $200,000–$225,000 USD per year.

Responsible for designing, building, and operating AI-based features (including LLMs, agent-driven experiences, RAG, and prompt engineering) across frontend and backend stacks. Requires 5+ years of software engineering experience, strong TypeScript/JavaScript and backend skills (Node.js/Go/Java), experience shipping AI/ML integrations in production, and familiarity with observability and telemetry systems.

Work on analyzing deep learning networks and implementing compiler optimization algorithms for AI inference across NVIDIA GPUs. Collaborate with deep learning framework and GPU architecture teams; require 3+ years relevant experience, strong C/C++ and Python skills, and experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).

NVIDIA seeks a Senior Solutions Architect / Engineer to drive deployment of GPU server and networking solutions for AI customers. The role requires systems-level expertise (GPU/CPU server architecture, NICs, Linux/kernel drivers), experience with cluster bringup and debugging, and customer-facing work including POCs and roadmap feedback. Occasional travel (~20%) is required; the role is open to remote locations.

Hightouch is hiring a senior, product-minded AI engineer to rapidly prototype and architect production LLM/agent systems and backend pipelines that leverage company data for analytics and marketing workflows. Role is remote (North America). Salary range: $180,000 - $400,000 USD/year. The company participates in E-Verify.

Hire for a Principal Engineer leading Generative & Agentic AI initiatives: design and build production-grade autonomous systems using LLMs, agent frameworks, vector databases, RAG, RLHF, and cloud-native/MLOps practices. Role requires ~15+ years software engineering experience and 5+ years focused on LLMs/agentic/generative AI; strong backend/distributed systems skills and Python expertise; US-based remote-first with optional NYC office.

Role for an architect/functional modeling engineer to design, develop, validate, and improve GPU architecture and baseboard component simulation models and platforms. Requires 5+ years experience, strong C/C++ and scripting skills, SystemC/TLM modeling experience, and familiarity with ML frameworks (PyTorch, TensorFlow, LangChain).

Role responsible for improving ML training and inference efficiency across GPU clusters by debugging and optimizing software and infrastructure, building tools and frameworks to detect bottlenecks, collaborating with researchers across domains (LLMs, robotics, autonomous vehicles, video), and working with technologies such as CUDA, NCCL, Nsight, distributed training, cloud platforms, and fast distributed storage.

Design and implement agentic workflows and enterprise-grounded agents using Retrieval Augmented Generation and the Elasticsearch Relevance Engine. Integrate and fine-tune LLMs, connect agents to internal APIs and SaaS tools, and manage training, deployment, and performance at scale on cloud platforms (AWS/Azure/GCP). Requires 3–5 years experience and at least 1 year with the Elastic Stack; skills include Python or TypeScript, Kubernetes, Docker, Terraform, LangChain/LangGraph/LangSmith, and Jina AI.

Work on implementing and optimizing language and multimodal model inference in NVIDIA Inference Microservices and TRT-LLM. Requires 5+ years experience, strong deep learning and inference background, performance profiling/optimization (especially GPU), and proficiency in C++ and PyTorch.

Research and develop techniques to GPU-accelerate AI and high-performance financial workloads, analyze and optimize complex CPU/GPU applications, and publish findings. Requires an advanced degree or equivalent, 5+ years' relevant experience, strong C/C++ and parallel programming skills (CUDA, OpenMP, MPI, etc.), deep understanding of CPU/GPU architectures and linear algebra, and experience with financial computational applications.

Technical lead role responsible for designing, developing, and deploying AI/ML features for Datadog Notebooks, including agent systems, retrieval and planning strategies, prompt management, experimentation, and production-scale reliability. Requires 10+ years of relevant engineering experience and strong product and leadership orientation.

Udacity (an Accenture company) seeks an independent-contractor AI Mentor to guide managers and executives through business-focused AI coursework and projects. The role requires 5+ years in AI/ML/Data Science or AI product roles, direct production deployment experience, familiarity with generative AI (LLMs, RAG), agentic systems, model evaluation, and working with business stakeholders. Mentors provide practical, applied guidance, facilitate group sessions, and adapt explanations to varied technical fluency.

Grafana Labs is hiring a Staff Engineer (AI & Automation) to own AI agent infrastructure and an automation platform for Marketing Operations. The role involves designing and operating multi-agent architectures, LLM integrations (RAG, prompt engineering, function calling), backend services and MCP servers, and serverless/containerized deployments on GCP. Requires 8+ years of software engineering experience and production experience applying LLMs/AI to workflows; strong Python and JavaScript/Node.js skills are emphasized.