Granicus is hiring a Principal Engineer, AI Security to lead design and implementation of scalable AI security controls and guardrails, modernize the SDLC for AI, advance AI-enabled cyber defense, prototype and build integrations, and advise across security and engineering. Requires 10+ years in security-related engineering and deep familiarity with LLMs, agents, adversarial AI, cloud-native architectures, CI/CD, and security automation. Remote-first role with a US-based salary range of USD 150,600–187,400/year.

Hands-on IC role to design, train, evaluate, and ship 3D reconstruction systems (gaussian splats, foundation 3D models, SfM, MVS, monocular depth, mesh reconstruction) into DroneDeploy’s production photogrammetry pipeline. Requires 5+ years professional experience in 3D computer vision/3D ML (or PhD), strong C++, fluency with ML frameworks (PyTorch/TensorFlow), cloud training/inference (AWS/GCP/Azure), containerization (Docker, Kubernetes), and experience running/monitoring many ML experiments. Remote-first (USA) with preference for Pacific Time overlap; occasional travel (~2–3x/year).

Senior technical leader responsible for architecting and delivering AI-enabled, enterprise-scale eCRM solutions. Responsibilities include building AI agents and LLM-based workflows (Google Gemini ADK, Vertex AI), unifying MDM and Salesforce ecosystems, designing APIs/microservices and event-driven systems (Apache Kafka), and championing CI/CD, DevSecOps, observability, and resiliency. Role typically reports to engineering leadership and involves under 10% travel. Minimum 8 years' experience.

NVIDIA seeks a Senior Research Scientist/Engineer to develop and scale post-training technologies for Nemotron foundation models. Responsibilities include synthetic data and agentic RL research, data and training infrastructure, vendor data acquisition, and large-scale model post-training through deployment. Requires Master/PhD or equivalent and 5+ years' experience in mid-/post-training, reinforcement learning, agentic systems, and hands-on data curation and model training. Salary range provided (USD 192,000–356,500/year across levels).

Responsible for technical pre-sales and value engineering of agentic AI solutions for public sector customers: conducting discovery, building proofs of concept, scoping and costing implementations, ensuring data governance and integrations with systems of record, and collaborating with product and delivery teams to realize customer value. Role requires deep experience with agentic AI frameworks and government workflows.

Twilio is hiring an Applied Research Tech Lead (L6) to join its Emerging Technologies incubation lab. The role is remote and based in India, responsible for architecting and delivering prototypes and production-ready solutions, driving AI R&D and experimentation, establishing engineering best practices, and mentoring peers. Required: 10+ years professional software development experience, proficiency in languages such as JavaScript, Python, Java or Go, experience with front-end (React/Angular) and/or back-end (Node.js/Springboot) frameworks, and familiarity with SQL/NoSQL and cloud platforms.

66degrees seeks an AI Security Architect (6-month contract) to establish AI security guardrails, governance frameworks, data protection controls, and model-security standards. The role partners with AI deployment, compliance, and legal teams to mitigate risks (e.g., prompt injection, data poisoning, adversarial attacks), define policies and training, evaluate AI security tools, and report AI security posture to leadership. Requires 8+ years in information security with experience in security architecture and AI/ML security.

Build end-to-end AI-powered features (LLM-backed flows, RAG/retrieval, embeddings, agentic tool-calling) with a frontend center of gravity (TypeScript/React) while owning backend and production concerns (monitoring, reliability, performance). Work is fully remote; hiring guidance states no visa sponsorship and preference for candidates authorized to work from their home country.

Join Coinbase's CX Intelligence team to architect and deploy a unified orchestration layer coordinating vendor and internal LLMs, multi-agent systems, and human participants. Role involves building production-grade Python services, leading ML projects end-to-end, establishing engineering best practices, mentoring engineers, and ensuring security, scalability, and performance. Requires 5+ years of ML/software engineering experience and hands-on experience with LLMs, deep learning, production ML systems, and tools such as LangGraph, LangSmith, Vertex AI, or AWS Bedrock. Annual base salary listed as BRL 455,500.

Lead technical direction for evaluating, improving, and scaling conversational/agentic search quality (RAG, agents, retrieval, citations, vector search). Define evaluation strategy (offline/online, metrics, LLM-as-judge), prototype and productionize evaluation pipelines and telemetry, influence product and model decisions, and mentor other data scientists and engineers. Requires 8+ years experience and hands-on skills with Python, PyTorch/Transformers, retrieval methods, and Elasticsearch.

Join the Office of the CTO to operate and scale an AI-native software development lifecycle where autonomous agents perform initial implementation. Responsibilities include decomposing work for agents, dispatching and integrating agent output, reviewing agent-generated PRs at volume, authoring evaluation suites, and ensuring correctness, performance, security, and WCAG accessibility in a FedRAMP-authorized environment. Requires strong engineering fundamentals, hands-on experience directing coding agents and rigorous code-review competence.

Hiring a Senior Software Engineer (7+ years) to lead full-stack development of agentic AI applications: multi-agent orchestration, RAG/retrieval systems, LLM application engineering, evaluation pipelines, AI safety, and learner/operator React interfaces. The role involves production engineering (Python/FastAPI, backend services, AWS), model integration via an AI gateway, and ownership of reliability, observability, and evaluation at scale.

Join CrowdStrike's GTM IT Apps team as an AI Engineer to design and deliver agentic AI solutions and enterprise AI platform patterns (model routing, orchestration, memory, multi-tenant isolation). You will build LLM-powered workflows and autonomous agents, implement CI/CD and infrastructure-as-code across AWS Bedrock/Vertex AI, operate observability and DevSecOps practices, and integrate AI backends with Salesforce and other GTM systems. Requires 5+ years of software engineering experience and hands-on proficiency with Python, TypeScript/JavaScript, LLM/agent frameworks, CI/CD, containers, and Salesforce development.

Lead the Marketing Engineering pillar to architect and implement an AI-native marketing execution platform: build integrations, orchestration for multi-agent pipelines, production UIs and tooling, evaluation/analytics, and CI/CD. Requires 8+ years full‑stack experience with Python and modern JavaScript/TypeScript, production experience with LLMs and AI agents, integration experience (APIs, webhooks, OAuth), and familiarity with cloud/CI/CD (AWS preferred).

Join a remote LatAm-based team to design, deploy and maintain production-grade microservices that enable GenAI and LLM features for a SaaS Course Studio. Role requires 5+ years of Python experience, hands-on LLM/GenAI integration (OpenAI/Anthropic/LangChain or open-source), and experience with AWS services (EC2, Lambda, ECS, S3).

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Lead architecture and delivery of end-to-end AI-powered systems including agents, RAG pipelines, orchestration layers, and evaluation frameworks. Define contracts, state management, guardrails, and observability standards; productionize experimental AI capabilities into scalable services. Remote-first role based in the USA; requires 5+ years of software engineering experience and 2–3+ years of AI development experience.

Join CrowdStrike’s Core Tech GTM IT Apps team as a Lead AI Engineer to architect and build agentic AI solutions, autonomous agents and LLM-powered integrations across Salesforce, Slack and in‑house platforms. Role requires 8+ years software engineering experience (3+ years in a lead/principal role), strong Python and TypeScript skills, experience with LLM frameworks (e.g., LangChain, LangGraph), RAG/semantic search and vector DBs, CI/CD and cloud platforms (AWS Bedrock, Vertex AI). US base salary range stated as $125,000–$180,000.

Senior GTM AI Deployment Strategist responsible for designing, deploying, scaling and governing LLM-powered agent workflows and integrations across GTM platforms (Salesforce, Slack, Marketo, CPQ, Snowflake). Requires 10+ years enterprise technology experience and 3+ years hands-on AI/LLM solution delivery; familiarity with orchestration frameworks (e.g., LangGraph, LangChain), RAG, vector DBs, observability and AI governance.

Chainguard seeks a Staff Security Engineer (AI Platform) to own end-to-end AI platform posture: anticipate vendor changes, govern admin/configuration, manage API keys and SSO/SCIM, build MCP servers and spend dashboards, mitigate prompt injection and data leakage, and serve as the technical counterpart to governance teams. Role is remote in Canada, staff-level IC, and requires 8+ years of relevant security/DevOps experience and direct enterprise admin experience with Claude and/or ChatGPT.