Join GitHub's Copilot Agents organization to design, implement, and operate Blackbird—the platform's lexical and semantic code search engine. Responsibilities include building scalable, high-performance code search, integrating AI/ML features and agents, driving technical roadmap, participating in on-call rotations, and mentoring other engineers. Required experience ranges (minimum explicitly stated in posting is 3+ years in certain qualification paths); preferred experience includes web-scale search, systems programming (Rust), and AI/ML integration.

Contract Lead Instructor (2-week, ~30 hrs/week) delivering live remote instruction and hands-on labs on MLOps and AI platform engineering. Requires 7+ years in software/data engineering, 3+ years in MLOps/ML platform roles, deep Azure ML / AI Foundry experience, Python and ML CI/CD knowledge, and certifications AZ-900, AI-900, DP-100 (AI-102 preferred). Engagement is remote and must align with Pacific Time; estimated lump-sum compensation $11,500–$15,500 for the program.

Deliver synchronous remote lectures and hands-on labs focused on designing and building multi-agent systems using Azure AI Foundry, Copilot Studio, and Semantic Kernel. Requires 7+ years in software engineering, 2+ years building/deploying agentic AI systems, expert Python skills, API design, advanced prompt engineering, and AZ-900 and AI-900 certifications (AI-102 strongly preferred). Must be available ~30 hours/week during West Coast (Pacific Time) hours for the engagement.

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.

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).

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.

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.

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.

NVIDIA seeks a Senior Software Developer for AI Networking to develop production communication frameworks, tools and benchmarks, enable AI models in benchmarking infrastructure, and design automation systems for large-scale clusters. Requires B.Sc./M.Sc. in CS or Software Engineering and 5+ years' experience, professional Python development skills, and strong Linux/command-line expertise. Experience with PyTorch/LLMs, Slurm/Kubernetes, MPI/HPC, InfiniBand/Ethernet, and performance optimization is desirable.

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.

Acquia seeks a hands-on Staff AI Engineer to architect and implement stateful, multi-agent, production AI workflows (LangGraph, Temporal, Pydantic) and own AI observability via LangFuse. The role requires 8+ years software engineering experience (3+ years producing AI agents), deep Python skills, cloud AI deployment experience (AWS/Azure/GCP), RAG and vector database knowledge, and mentoring contribution within the team. Location: Remote (Canada).

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.