Work at the intersection of technical support, workflow automation, and applied AI to design and implement agentic AI systems, ticket triage, routing, knowledge retrieval, case summarization, and operational insights. Requires at least 3 years of relevant software, automation, or applied AI experience, strong Python and API skills, and experience building production internal tools; role is remote-first and lists a salary range of 125,000–170,000 USD per year.

Product-focused Staff AI Engineer role to design, develop, and deploy AI-powered features using LLMs and multiple AI models. Responsibilities include integrating and orchestrating models, prototyping and iterating on features, ensuring reliability and scalability in production, establishing evaluation metrics, addressing AI privacy/security/compliance, and mentoring engineers. Requires 5+ years of backend and/or full-stack engineering experience and proficiency with Python, JavaScript/TypeScript, relational databases (Postgres/MySQL), and Elasticsearch. Location: United States. Remote tags present.

Join ClickUp as a Staff AI Engineer on the AI Platform team to design, implement, and operate scalable backend services, model serving, orchestration, and MLOps for LLM-powered features. The role is hands-on with multiple LLM providers (OpenAI, Anthropic, Google) and requires expertise in cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure), distributed systems, backend engineering, and AI privacy/security.

Join ClickUp as a Staff AI Engineer focused on building a backend platform for creating and orchestrating multi-agent systems. Responsibilities include integrating multiple LLMs, using orchestration frameworks (e.g., LangGraph), developing evaluation frameworks, addressing AI privacy challenges, and integrating search technologies.

ClickUp seeks a Senior AI Engineer focused on product-facing AI features: integrating and orchestrating LLMs, building scalable production systems, implementing evaluation frameworks, and addressing AI privacy/security/compliance. Requires 5+ years of backend and/or full-stack experience and proficiency with Python, JavaScript/TypeScript, relational databases (Postgres/MySQL), and Elasticsearch.

Role focuses on architecting and implementing scalable AI platform services (model serving, orchestration, monitoring), integrating multiple LLM providers, building backend APIs, and applying LLMs to deliver user-facing intelligent features. Requires experience with cloud-native technologies, distributed systems, MLOps, and backend engineering.

Join ClickUp's AI Platform team to design, develop, and maintain a platform enabling users to create and manage AI agents and multi-agent workflows. The role focuses on integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing privacy and secure data handling, and integrating search capabilities.

Lead the Agent Connect team within Twilio's Conversational AI org to design, build, and scale systems that enable customers' AI agents to connect to Twilio channels and conversation primitives. Role includes engineering strategy, hiring and mentoring, cross-functional collaboration, ensuring reliability and compliance, and shipping production-ready solutions. Requires 5+ years hands-on engineering experience and 3+ years supervising engineering teams. Remote (US) with location-based salary ranges provided.

Join Arize AI as a DevSecOps Engineer to design guardrails for agentic AI, secure TypeScript/Node.js codebases, integrate SAST/DAST/SCA/secret and IaC scanning into CI workflows, threat-model LLM and agent features, and lead incident response. Requires 4+ years in DevSecOps/application/platform security and practical experience with TypeScript, cloud infrastructure, containers, Kubernetes, and CI/IaC tooling.

Role responsible for architecting, building, and validating Nitro AI Agents and scalable AI orchestration layers (Text-to-SQL, multi-agent tool-calling, event orchestration). Work involves bridging relational databases (Postgres/Java) and vector stores, building RAG systems, configuring LLMs, and implementing automated evaluation pipelines. Requires strong backend experience (7+ years), 2+ years building agentic workflows, a technical degree, and unrestricted right to work in the United States. Based in Pleasanton, California (Work Anywhere/remote-friendly). Salary range: $110,000–$270,000 base.

Role to design and implement Nitro AI Agents and scalable AI orchestration layers (Text-to-SQL, multi-agent systems), enhance Java-based back ends, integrate relational databases with vector stores (Postgres), and build automated evaluation pipelines. Requires 7+ years building distributed backend systems, 2+ years in agentic/workflow AI, experience with Java, Spring, Python, RAG and vector DBs. Applicants must have unrestricted right to work in the United States; no visa sponsorship.

Responsible for designing, building, and validating next-generation Nitro AI Agents and AI orchestration layers, including high-precision Text-to-SQL agents, RAG/vector retrieval systems, and automated evaluation pipelines. Requires extensive backend experience (Java, Spring, Python) with distributed systems expertise and at least 7 years of experience; 2+ years building agentic workflows. US work authorization is required; employer will not sponsor.

Role for a backend engineer to design and build AI security frameworks and primitives integrated with Stripe's AI infrastructure. Responsibilities include creating defenses against AI-specific threats (prompt injection, jailbreaks, tool misuse), partnering with engineering teams to integrate security, and contributing to systems and infrastructure. Minimum requirement: 5+ years software development experience.

Sardine is hiring a Forward Deployed AI Engineer to embed with clients (remote, US or Canada) to gather requirements, design technical architectures, and build end-to-end AI solutions. Responsibilities include training and deploying custom AI agents, prompt engineering, fine-tuning, establishing evaluation pipelines and AI risk metrics, and collaborating with product and engineering teams to scale models into production. Requires 5+ years in Data Science or Applied AI and strong Python and SQL skills.

NVIDIA seeks a Senior Solutions Architect for Generative AI to lead customer technical engagements, develop proofs-of-concept (LLMs, recommenders), and optimize model training/inference on GPUs. Requires a BS/MS/PhD or equivalent, 8+ years as an AI/software engineer, strong coding in Python and/or C++, experience profiling and optimizing GPU performance, and experience with DL frameworks and lower-level GPU libraries (CUDA/CUTLASS/cuDNN/NCCL). The role is remote-friendly, based in the US (Santa Clara referenced), includes occasional on-site customer visits/conferences, and lists base salary ranges (USD 184,000–287,500 for Level 4; USD 224,000–356,500 for Level 5).

Sayari seeks a Staff Applied Scientist to own the "Judgment Layer": design and implement specialized judge models, scoring pipelines, domain-specific evaluation frameworks, and annotation infrastructure; research MoE routing, ensemble calibration, and evaluation techniques for agentic LLM/Graph RAG systems. Requires 10+ years in ML with deep expertise in neural networks, LLM evaluation, statistics, and production deployment of evaluation services.

Lead Granicus' internal AI transformation: build and scale a centralized, secure AI platform (LLMs, retrieval, agents, orchestration), establish governance/security/observability, integrate with enterprise systems, drive adoption with embedded consulting teams, and measure operational impact. Requires 10+ years software engineering experience and experience leading engineering or platform teams.

NVIDIA is hiring a Senior AI Compiler Engineer in applied research to develop machine-learning-driven compiler solutions and low-level GPU code generation. Responsibilities include designing AI-based compilation technology, building SFT and RL training pipelines, prompt engineering for compilers, dataset preparation from compiler traces, benchmarking, and integrating learned policies into production toolchains. Requires MS/PhD or equivalent, 5+ years building AI/ML systems, strong Python and C++ skills, CUDA experience, reinforcement learning and fine-tuning experience. Locations include US (Austin, Redmond, Santa Clara) with remote options. Base salary range: 152,000–241,500 USD/year.

General Assembly seeks a subject matter expert to validate competencies, technical accuracy, and async learning assets for an MLOps/AI Platform Engineer pathway targeted at customer-facing professionals. Requires 7+ years in software or data engineering, 3+ years in MLOps/ML platform production roles, strong experience with ML pipelines, deployment, monitoring, governance, Python, CI/CD, and Azure/Azure ML. Engagement is ~15–20 hours/week for 6–7 weeks, paid $60–$75/hour, remote from approved countries.

Technical lead for MeridianLink's customer-facing AI products responsible for architecture, LLM integration patterns, evaluation/testing frameworks, reliability, and cross-team technical direction. Requires building full-stack AI features (backend Python services, REST APIs, frontend React/TypeScript), working with AI platform infrastructure (vector search, model gateways, prompt management), and ensuring security and compliance in a regulated financial context.