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.

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.

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.

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.

Work as a senior fullstack engineer on Arize's AI observability platform, writing maintainable, scalable code primarily in TypeScript and React with opportunities in Python and Go. Responsibilities include API and domain model design, building reusable React components, researching and implementing visualization and dimensionality reduction algorithms in distributed environments, collaborating with product/design/customers, and contributing to architecture, code reviews, and documentation. Requires 5+ years frontend experience. Salary range listed: $125,000–$225,000/year.

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.