Mozilla seeks a Staff AI & Agentic Systems Engineer to lead architecture and implementation of next-generation multi-agent frameworks and LLM workflows. The role requires 7+ years software engineering experience, 2+ years building production autonomous workflows, strong familiarity with LLM orchestration tools (e.g., LangChain) and experience with Python or Go, distributed systems, and evaluation/benchmarking of agent performance. This is an early-stage, remote position within Mozilla's New Products organization.

Mozilla is hiring a Staff AI & Agentic Systems Engineer to lead architecture and implementation of next-generation multi-agent frameworks, LLM orchestration, evaluation frameworks, and AI developer tooling. Requires 7+ years software engineering experience and 2+ years building production autonomous/agentic systems, with strong skills in Python or Go, distributed backends, LLM tooling (e.g., LangChain), prompt engineering, and RAG/vector DBs. Role is remote within the US and includes published US salary ranges.

Red Hat Consulting seeks an OpenShift AI Architect to engage in pre-sales, design and implement enterprise AI platforms on Red Hat OpenShift AI, lead MLOps adoption and model operationalization, and provide technical leadership during delivery. Requires 8+ years' experience and fluency in English; role is remote for Brazil and Mexico.

Telecommuting Principal Data Scientist role (U.S.-based) to develop end-to-end data science solutions—from requirements through validation and production. Responsibilities include feature engineering, building production-grade ML/statistical models, collaborating with data engineering and ML Ops to operationalize models, and implementing monitoring for model performance, data drift, and concept drift. Required: bachelor's degree (or equivalent) and 3 years of relevant experience. Salary range $147,470 - $243,350 per year.

Join GitLab's Agent Observability team to develop, ship, and maintain backend features for agent interactions and observability across the GitLab monolith and AI gateway. Work with Ruby on Rails (APIs, background jobs, data models), design GraphQL/REST APIs, improve automated tests (RSpec), collaborate across product, frontend, and AI teams, and participate in Tier 2 on-call rotations.

Design and scale agentic systems connecting LLMs to internal APIs and tooling, implement RAG, fine-tuning, and prompt engineering, build production Python microservices, and develop evaluation pipelines for non-deterministic AI agents. Requires 3+ years building and scaling ML/AI systems in production and experience with multi-agent orchestration frameworks and vector databases.

CrowdStrike seeks a Senior AI Infrastructure Engineer to lead design and implementation of large-scale LLM infrastructure, including GPU cluster provisioning, model serving, lifecycle management, and data pipelines (RAG/agentic systems). The role requires hands-on experience with MLOps, distributed training and inference frameworks, containerization/orchestration, IaC, and cloud platforms, and includes technical leadership and cross-functional collaboration to productionize AI systems.

Join EnergyHub's Data Science and Power Systems Intelligence team to develop and improve energy forecasting models, control and optimization algorithms, and production-grade software. Work with large distributed energy datasets, build data pipelines, monitor operational models, and present results to stakeholders. Requires strong machine learning, optimization, Python, and data engineering experience.

Red Hat Consulting Services seeks a Lead AI Architect in EMEA to design reusable AI consulting solutions, lead architecture and implementation of AI systems, perform discovery workshops, and support sales and regional consulting teams. Requires 5+ years in solution/enterprise architecture or similar, strong customer engagement experience, and demonstrable technical expertise with Kubernetes/OpenShift, Jupyter, Python, Kubeflow Pipelines, LLM technologies and MLOps. Role is remote (France, Netherlands, Denmark, Germany), professional English required, and travel within EMEA is expected.

Build and optimize RL post-training infrastructure that scales from single-GPU experiments to production across thousands of nodes. Work includes tuning training-inference-rollout loops on GPUs/CPUs/LPUs, contributing to open-source RL frameworks (e.g., VeRL, Miles, TorchTitan), ensuring fault tolerance and elastic scaling, and collaborating with cross-functional teams on networking, libraries, and hardware integration.

Lead data-science initiatives using Doximity's datasets to build and evaluate AI products for clinicians. Responsibilities include end-to-end data projects (ingestion through analysis and recommendations), informing data team strategy, collaborating with product managers and engineers, and applying modern ML techniques (deep learning, reinforcement learning, LLM fine-tuning). Requires advanced SQL and Python, experience with PyTorch or TensorFlow, distributed data processing, and at least 5 years' professional experience. Visa sponsorship is not available.

Hiring a Forward Deployed Engineer to operate embedded with client teams to map end-to-end creative workflows, diagnose operational friction, design future-state workflows, and configure/implement AI-powered pipelines integrated with DAMs, CMSs, and marketing technology. Requires 5–10 years' experience in creative technology, content operations, production engineering, or applied AI and hands-on experience delivering production-ready creative AI or workflow automation solutions.

Hiring a Forward Deployed Engineer to work embedded with client teams to map end-to-end creative workflows, design future-state processes, and configure and deploy AI-powered pipelines and automation in production environments. Requires 5+ years in creative technology, content operations, production engineering or applied AI and hands-on experience with DAM/CMS, LLMs, prompt engineering, and Adobe/Figma ecosystems.

Embed with client teams to map current workflows, diagnose operational friction, redesign target-state operations and operating models, and build AI-powered, working proofs of concept (using LLM APIs and low/no-code platforms). Requires 5+ years in management consulting or equivalent enterprise technology/SaaS roles and experience in organizational design, change management, process engineering, or related areas.

Pindrop seeks a Senior Security Researcher (Red Team) to design and execute red team operations and adversarial ML attacks against GenAI/LLM pipelines, SaaS products, APIs, and cloud environments (AWS/GCP). Responsibilities include deepfake and voice synthesis testing, penetration testing, threat modeling, security code reviews, developing automation for offensive workflows (Python preferred), and partnering with SecOps and product teams to improve detections and remediation.

Grafana Labs seeks a Marketing Analytics Director to build and lead the marketing analytics infrastructure—designing data schemas in BigQuery, developing ML models (attribution, MMM, LTV), deploying agentic AI and automation, and partnering with GTM leadership to drive demand generation. Requires 8+ years in marketing analytics/GTM or data science with strong SQL, Python, BigQuery, and hands-on AI and automation experience.

Capital One seeks a senior-level AI engineer to design, develop, test, deploy, and support foundation-model training and large language model inference systems. The role emphasizes LLM optimization (scalability, cost, latency, throughput), similarity search/VectorDBs, guardrails, evaluation, and observability, and requires substantial experience (8+ years minimum) with ML engineering, cloud platforms, and languages such as Python.

Join STRIKE as the engineering counterpart to threat research to own the research-to-production pipeline, build and extend threat intelligence platform components, produce detection content (YARA, Sigma, STIX), and ship production systems that may include language-model-backed workflows. Requires 5+ years engineering experience with threat intel or detection engineering and hands-on experience with Python and TypeScript/Node.

Remote (Canada) senior Research Engineer on STRIKE responsible for owning the research-to-production pipeline: building detection content (YARA, Sigma, STIX), platform components (distribution servers, sandbox orchestration, ingestion), schema and standards adoption (STIX 2.1, TAXII 2.1), and production LLM integrations with retrieval and eval harnesses. Requires 5+ years hands-on engineering experience with threat intelligence or detection engineering, production Python and TypeScript/Node development, cloud (AWS), data pipelines, and practical experience with STIX/TAXII/MISP and detection tooling. SecurityScorecard does not provide immigration sponsorship for this position.

Join STRIKE to own the path from threat research outputs to production artifacts (detections, distributed feeds, APIs). The role requires building and extending platform components (sandbox orchestration, ingestion, distribution, rules engines), producing detection content (YARA, Sigma, STIX), operating ML-backed workflows with eval harnesses and schema validation, and coordinating delivery with product and platform teams. Requires 5+ years engineering experience with threat intel or detection engineering and production experience with Python and TypeScript/Node.