Udacity (an Accenture company) seeks experienced AI practitioners to mentor and deliver structured live sessions (10–200 participants) on AI fundamentals, GenAI/LLMs, RAG, practical AI use cases, and enterprise adoption. Role requires 3+ years in AI/ML, data science, or applied AI, experience presenting or teaching, and strong English communication. Mentors work independently and set their own schedules.

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.

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) based in Canada (remote, Quebec residents not eligible). The role owns end-to-end development of multi-agent AI systems, LLM integrations, and backend services connecting models to internal and third-party data (e.g., BigQuery, CRMs, Slack). Requires 8+ years software engineering experience, 2+ years applying LLMs in production, strong Python and Node.js skills, and familiarity with GCP, serverless/containerized services, RAG, prompt engineering, observability, and automation/orchestration tooling. Base compensation range in Canada: CAD 186,368–223,642 per year.

Twilio seeks a Senior Manager, Machine Learning to lead teams building large-scale ML models and data pipelines for trust and traffic intelligence. The role requires experience shipping production ML, distributed systems, data platform collaboration, and team management; it is remote within the US (role excluded in CA, CT, NJ, NY, PA, WA).

Join Invicti's AI team to design and implement autonomous agent systems and LLM-powered features focused on agentic pentesting and AppSec. Work spans agent architectures, memory/RAG systems, MCP integrations with security and developer tools, prompt chains, and full-stack ownership from design through production. Required: 5+ years shipping production software, strong Python, experience with LLM apps/RAG/agentic AI, distributed systems, API design, and cloud-native architectures.

DataCamp is hiring a Principal AI Engineer to lead development of a real-time, adaptive AI tutoring system. Responsibilities include designing prompt architectures and agentic workflows, running rigorous experimentation and custom evaluation, integrating AI into platform systems, and ensuring safety/observability. Required technical experience includes 1+ years building complex LLM-based systems, strong prompt engineering intuition, Python, and familiarity with cloud and CI/CD.

Own the "Reddit Benchmark" and post-training evaluation science for Reddit's foundational LLMs: define evaluation methodology across safety, reasoning, retrieval/representation, and Reddit-specific knowledge; ensure statistical rigor and reliability of evals; design model-as-a-judge approaches; set SFT/CPT recipes and checkpoint selection; drive synthetic data strategy and partner with Safety Engineering.

Join Invicti's AI team to design and build agentic AppSec solutions, including multi-agent systems, RAG and memory pipelines, MCP integrations, and prompt engineering. Requires 5+ years of production software development, strong Python skills, experience with LLM-powered apps/RAG/agentic AI, and knowledge of distributed systems, API design, and cloud-native architectures. Role involves cross-team collaboration, productization, and ownership from design to production.

Nearform is hiring a Senior Software Engineer focused on Python and AI to design and build AI-enabled applications. The role is permanent and full-time, based in Italy with regular travel to client sites across Europe. Key requirements include deep Python and AI framework experience, CI/CD, testing, databases and cloud environments; Kubernetes, Golang and React are nice-to-have.

Lead technical direction for LLM inference optimization (Kimchi), improving throughput, lowering latency, and maximizing KV cache efficiency across GPU SKUs and distributed topologies. Requires 5+ years building ML systems/inference or training infrastructure, strong Python, hands-on experience with vLLM/SGLang/TensorRT-LLM, quantization fluency, distributed systems knowledge, and a measurement-first approach. Remote-first role available in multiple European countries.

Role on the Backend Engineering team to design, build, and maintain scalable analytics and backend services for an ML/LLM observability platform. Responsibilities include developing APIs, working with OLAP and distributed systems, integrating collection and monitoring tools, and contributing to open-source components. Requires 5+ years of backend experience and strong proficiency in languages such as Go, Python, Java, or TypeScript.

Develop and optimize a modern C++ inference framework extending TensorRT for autoregressive LLM serving (speculative decoding, LoRA, MoE, KV cache). Work includes CUDA kernel/operator development, compiler/runtime optimizations, performance benchmarking and collaboration across CUDA, compilers, and robotics teams. Requires 4+ years experience and deep familiarity with transformer inference techniques and GPU/CUDA development.

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).

Upwork is hiring a Lead AI Engineer (Data Platform & Services) in Lisbon to design and deploy agentic orchestration frameworks, natural language query solutions, and evaluation frameworks for LLMs and prompts. The role requires hands-on experience with LLMs, prompt engineering, and modern data engineering (Python, SQL, Snowflake). The position will require three days in office once Upwork's Lisbon hub is open and will initially be employed through a partner; annual base compensation is €75,000–€127,000.

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).

Lead development of LLM observability features at Datadog, designing and scaling systems for tracing, model evaluation, drift detection, and debugging inference pipelines. Role expects strong experience with distributed systems and scalable backend architectures, hands-on experience building LLM/GenAI applications, and familiarity with observability tools.

Lead and apply advanced statistical and machine learning methods (causal inference, experimental design, anomaly detection) on large-scale ad data. Collaborate with product, engineering, and other data scientists to define metrics, build models, analyze trends, and communicate recommendations. Requires an advanced quantitative degree and several years of industry data science experience; experience with Spark/Hadoop/Hive/BigQuery, Python or R, ML libraries, and SQL.

NVIDIA is hiring a Senior Deep Learning Performance Architect focused on hardware-software co-design to advance AI inference performance. Responsibilities include designing GPU/system architectures, constructing and testing deep learning algorithms, building power and performance models of the AI inference stack, and collaborating with software, research, and product teams. Qualifications: MS/PhD or equivalent, 5+ years relevant experience, strong math background in ML/DL, expert programming in C/C++/Python, familiarity with GPU computing (CUDA) and HPC (MPI, OpenMP), and knowledge of computer architecture. Salary ranges provided (USD): 152,000–241,500 for Level 3 and 184,000–287,500 for Level 4.