Twilio seeks a Senior AI Architect (Conversational AI) to set the long-term technical vision and architectural guardrails for company-wide ML/AI Ops and conversational AI capabilities. The role requires hands-on leadership transitioning research into resilient, compliant production systems, expertise with LLMs, RAG, embeddings/vector stores, inference optimization, context engineering, and cloud-based service design. Candidates should have extensive experience building and scaling production ML systems and strong cross-organizational communication and mentorship skills.

Senior individual contributor role reporting to the VP of Enterprise AI Transformation. Define and maintain enterprise AI architecture standards, reference patterns, governance guardrails, and decision frameworks; design scalable AI-enabled workflows across data, APIs, identity, security, and cloud; prototype and test LLMs and agent frameworks; guide solutions from pilot to production. Requires Bachelor's (or equivalent), 10+ years in enterprise/solution/platform architecture, hands-on AI/LLM prototyping, experience with TOGAF and AWS/Azure/GCP, and experience with integration/automation platforms.

Elastic is hiring an Agentic AI Engineer to design, build, and operate multi-agent ecosystems and A2A architectures. Responsibilities include LLM integration (proprietary and open-source), tool calling, RAG and vector-search grounding, provisioning scalable cloud infrastructure with IaC (Terraform), DevOps/CI-CD, security and governance for inter-agent communication, and observability for multi-agent interactions. The role expects deep experience with LLMs, multi-agent frameworks (e.g., LangChain, LangGraph, AutoGen), cloud platforms (AWS/Azure/GCP), and DevOps tooling.

NVIDIA is hiring a Senior Solutions Architect (Agentic AI) to partner with enterprise ISVs to design, build, optimize, and deploy production-grade agentic AI systems on NVIDIA platforms. Responsibilities include leading partner engagements from discovery to production, building PoCs and reference architectures, guiding model customization and post-training workflows, and advising on performance, reliability, safety, and observability. Requires BS/MS/PhD or equivalent, 8+ years of engineering/solutions architecture/applied ML experience, hands-on experience with LLMs, RAG, agent orchestration, Python, Linux, and frameworks such as PyTorch or TensorFlow. Base salary range: 184,000–287,500 USD per year.

Principal-level individual contributor leading the Commercial AI Center of Excellence technical direction for AIaaS. Hands-on across the full AI lifecycle — model training/fine-tuning (including QLoRA/LoRA/PEFT), LLM orchestration, retrieval/RAG, data/feature pipelines, observability, and responsible-AI — with a focus on cloud-native (Azure preferred) production systems and cross-team architectural leadership. Requires 15+ years delivering production AI at enterprise scale.

The Principal AI Engineer provides technical leadership and hands-on execution for enterprise AI systems: designing and fine-tuning LLMs (QLoRA/LoRA/PEFT), building orchestration and MCP servers, optimizing retrieval/RAG and data pipelines, establishing experiment tracking, versioning and observability, and operationalizing models into production. Requires 12+ years of relevant AI/ML engineering experience.

Arize AI is hiring a Forward Deployed AI Engineer to partner with enterprise AI teams to design, implement, and scale GenAI observability and evaluation programs. The role is hands-on and client-facing, requires 2+ years software development experience, strong skills in Python/Java/TypeScript (comfortable in at least two), MLOps and cloud technologies (AWS/GCP/Azure), and experience with Docker/Kubernetes. Candidates must be based in the San Francisco Bay Area / PST timezone.

NVIDIA seeks a Senior AI/Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms and code-generation techniques. The role requires strong CUDA and GPU performance debugging skills, experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton), and proficiency in C/C++ and Python. The position lists a minimum of 3+ years' relevant experience and provides a base salary range of 152,000–241,500 USD per year.

Software Engineer II (remote) responsible for designing, developing, deploying, and supporting production applications with emphasis on ML/AI solutions. Requires experience with Python and at least one OOP language, ML frameworks (e.g., PyTorch, TensorFlow), SQL/NoSQL databases, cloud platforms (Azure/AWS/GCP), CI/CD and DevOps practices, microservices/APIs, testing, monitoring, and related engineering practices. Minimum 2 years' experience. Salary range (for listed locations) $90,000–$170,000/year.

NVIDIA OpenShell seeks a senior research engineer to identify, prototype, benchmark, and integrate advances in agentic systems and LLM infrastructure into production runtime and developer tools. Requires 8+ years of relevant experience, MS/PhD or equivalent, deep experience with LLMs, agent harnesses, inference infrastructure, evaluation and safety approaches. Base salary range listed: 184,000–287,500 USD/year.

Grafana Labs seeks a Staff Backend Engineer to design, implement, test, and operate the first production services for a context management system that powers ingestion, indexing, retrieval APIs, and agent-facing integrations. The role focuses on building a scalable multi-tenant SaaS foundation, working with observability tooling, and iterating from prototype to production. Candidates should have experience with LLMs/GenAI, cloud-native environments (AWS/GCP/Azure), and production-grade backend systems.

Grafana Labs is hiring a Staff Backend Engineer to build the initial production services for an AI-native data intelligence/context system, including ingestion, indexing, retrieval orchestration, APIs, and multi-tenant SaaS infrastructure. The role is remote and targets candidates in the U.S. or Canada (residents of Quebec are not eligible). Base compensation in Canada is stated as CAD 186,368–223,642 per year.

Role involves designing and evaluating routing policies for LLM traffic, building and running agentic benchmarks, contributing code and design docs to open-source, and collaborating with research and engineering teams to integrate optimized inference solutions. Requires 8+ years' experience with deep learning frameworks (PyTorch or TensorFlow), strong ML and systems fundamentals, and experience in model evaluation and benchmarking.

Help Scout is hiring a Mid/Senior Product Engineer on the Intelligence team to design and ship end-to-end, customer-facing intelligence features with a front-end focus (strong JavaScript/TypeScript and React). The role expects full‑stack capability, experience with AI/LLM tooling, production readiness (monitoring, reliability, instrumentation), and frequent use of AI development tools. The position is fully remote and Help Scout does not sponsor visas.

The Sr. Software Engineer develops, tests, deploys, and maintains production software, contributes to architecture and tooling, and mentors junior engineers. The role emphasizes AI workflow development, front-end technologies (HTML/CSS/JavaScript/TypeScript), Java and database technologies (relational and NoSQL), cloud computing, CI/CD, security, testing, debugging and production monitoring. Minimum required experience is 3 years; a preferred experience mention is 5+ years in relevant work.

Hands-on role bridging hardware bring-up, sensor integration, and deployment of robotics models on NVIDIA embedded platforms. Requires 5+ years in embedded systems (experience with Jetson), strong ROS 2 fluency, sensor pipeline integration (cameras, LiDAR, IMU), and expertise in AI model deployment/optimization (TensorRT, GPU profiling) for edge robotics applications.

Avalara seeks a senior individual contributor to lead design and engineering of scalable AI-powered automation solutions (n8n as core orchestration), build API-first and event-driven integrations, establish CI/CD and governance practices, implement observability for AI and traditional workflows, and mentor engineers. Requires 10+ years of experience in enterprise automation, integration or platform architecture and hands-on experience with n8n or Boomi and cloud AI services.

Doximity seeks a Staff Applied AI Engineer to leverage large healthcare datasets to build, fine-tune (SFT/DPO/RFT), and evaluate ML and LLM products. The role requires 5+ years' experience with large-scale model training, PyTorch/TensorFlow, advanced SQL and Python, distributed processing, and strong statistical and data-visualization skills. Visa sponsorship is not available.

Hands-on role responsible for the full data science lifecycle: framing business problems with stakeholders, building and validating models, and working with ML engineering through deployment and monitoring. Requires 5+ years in applied data science with experience in paid/performance marketing, AWS-based ML deployments, Python, SQL, and techniques such as bandits, recommender/ranking systems, and LTV modeling. Primary metric: ROAS.

The role owns design, delivery, and operation of internal AI infrastructure and products for GTM (Model Context Protocol servers, multi-step agents, internal apps). Requires 5+ years' experience, expert TypeScript/Node.js, strong Python, AWS deployment experience (Bedrock, Lambda, ECS, API Gateway), LLM API integration, REST/OAuth/OIDC knowledge, and familiarity with CI/CD and IaC; GCP, MCP, and CRM integration experience are strongly preferred.