Capital One is hiring a Distinguished AI Engineer to partner with cross-functional teams to design, develop, test, deploy, and support foundation model training and LLM inference systems, similarity search/VectorDBs, guardrails, model evaluation, experimentation, governance, and observability. The role emphasizes optimization for scalability, cost, latency, and throughput and requires extensive experience with AI/ML systems and languages such as Python, Go, Scala, or Java. Remote candidates are eligible; visa sponsorship may be considered.

Build and maintain the GitHub Cloud Agent platform enabling AI agents for developer workflows. Responsibilities include designing APIs, writing scalable production code, debugging with telemetry, participating in on-call rotations, and collaborating with cross-functional teams. Requires multi-year software engineering experience (minimum 2 years as stated in qualifications) and hands-on experience with general-purpose languages and modern front-end technologies (e.g., React, JavaScript/TypeScript).

Join GitLab's Duo Client SDK team to design and implement versioned TypeScript packages and SDK clients used by editor extensions and web Duo Chat. Work includes Node.js core design, API and semantic versioning, package extraction and publishing, Vue 3 client work, credential handling, bundle optimization, testing, and on-call support. Remote role for Canada and the United States.

Lead a small senior engineering team to move Thunderbolt from R&D into a production-ready, enterprise-grade open-source AI product. Responsibilities include clarifying priorities and ownership, contributing to code and reviews, improving release discipline and engineering practices (CI/CD, testing, documentation), partnering with product and technical leadership, and hiring as the team grows. Requires 15+ years software experience and 5+ years managing technical teams; experience with AI-enabled products, multi-platform delivery (desktop/web/mobile), and customer-controlled architectures.

Salesforce is hiring a Senior Technical Product Manager (TPM) to own the Agentforce adoption program end-to-end: portfolio tracking, deployment velocity, blocker resolution, playbook ownership, and rapid closure of field-to-product feedback. Requires 8+ years in technical program management or product operations, engineering familiarity, hands-on AI/agentic systems experience, practical knowledge of Python/JS/TypeScript/Java/Apex, and foundational Salesforce skills (Agentforce, LWC, Flows, APIs). Role includes ~25% travel and is focused on scaling from initial lighthouse customers to many enterprise deployments.

Lead design and implementation of Zip’s enterprise Data & AI Platform to support analytics, machine learning, Generative AI and Agentic AI. Responsibilities include building scalable batch and real-time pipelines, vector search and RAG capabilities, lakehouse/open table formats, governance, observability, and mentoring engineers. Requires 8+ years' experience and deep expertise with cloud data platforms and tools (SQL, Python, dbt, Airflow/Dagster, Kafka/Spark). Salary range listed: $134,000–$168,000/year. Visa sponsorship is not available.

Own your function's AI strategy and prioritize high-impact opportunities; prototype and configure AI agents (no-code/low-code), manage agent operations and metrics, build a Champion network, and drive adoption and change management while partnering with the Enterprise AI engineering team. US base salary range listed: $203,200–$345,600 USD (annual).

NVIDIA is hiring a Senior AI Solutions Architect to work with computational chemists, materials scientists, and R&D teams to GPU-accelerate and scale workflows (DFT, MD, quantum chemistry, MLIPs, CFD, high-throughput screening) using NVIDIA platforms (ALCHEMI, CUDA-X) and AI/ML (PyTorch/TensorFlow, physics-informed ML, generative models). The role is customer-facing, involves solution design, performance optimization, trainings/demos, and collaboration with engineering and product teams.

Role to design and develop algorithms and models for price and promotion optimization using optimization and deep learning techniques. Responsibilities include solution development, presenting results to technical and non-technical stakeholders, cross-functional collaboration, and building reusable analytics artifacts. Minimum 3 years' experience; preferred experience with Gurobi, forecasting, predictive modeling, and a quantitative degree (PhD preferred).

Lead partner engagements to architect and productionize agentic AI (multi-agent workflows, RAG, tool use, guardrails, policy enforcement) with emphasis on security, privacy, confidential computing (GPU attestation, KMS, air-gapped patterns). Requires 8+ years experience, strong Python/Linux skills, hands-on LLM/generative AI and frameworks (PyTorch/TensorFlow). Base salary range: 184,000–287,500 USD per year.

Acquia seeks a Staff AI Engineer to design, implement, and ship production-grade agentic AI workflows using tools such as LangGraph, Temporal, Pydantic and LangFuse. The role requires ownership of AI observability, RAG and retrieval architectures, cloud deployment, and mentoring of engineers; a minimum of 8 years' software engineering experience with 3+ years delivering AI agents is required.

Hands-on senior engineering role building GitHub Copilot Code Review: define and implement how the review agent reasons and which models run, own reliability and on-call for a high-throughput service, design offline and online evaluations, collaborate with research and model teams, and mentor senior staff. Requires extensive software engineering experience and working with models at scale.

Build, evaluate, optimize, and operate agentic AI solutions that assist detection, investigation, and response in security operations. Requires designing evaluations and benchmarks, taking models from experimentation to production with MLOps/LLMOps practices, strong software engineering (Python; TypeScript or C#), and domain experience applying AI to cybersecurity.

Role to design MLIR dialects and APIs, implement compiler optimizations and kernel generation for neural networks, and collaborate with framework and hardware teams. Requires a BS/MS/PhD or equivalent, 3+ years' relevant experience in performance analysis and compiler optimizations, experience with MLIR/XLA/LLVM, strong C++ and Python skills, and familiarity with GPU programming (CUDA/OpenCL) and deep learning frameworks (PyTorch/JAX). Salary ranges provided for levels 3 and 4.

Senior applied research lead role to set scientific direction for agentic AI in cybersecurity. Responsibilities include driving research on efficient models and post-training techniques, designing evaluation/verification methodologies and benchmarks, partnering with security teams, and personally leading experimental work. Requires MS or PhD in a quantitative field and 10+ years' experience in ML/DL/AI with hands-on expertise in modern LLM post-training and agentic systems.

Senior Software Engineer on Reddit’s Ads Creative Effectiveness team responsible for architecting and implementing scalable backend systems and pipelines for generative ad creative (image, video, copy), model serving and orchestration, performance feedback integration (CTR/CVR), safety/compliance middleware, and mentoring engineers. Remote — United States. Base salary range: $190,800–$267,100 USD/year.

CrowdStrike is hiring a Senior Data Scientist to lead research and development of LLM/GenAI capabilities for cybersecurity, including AI safety and red-teaming. The role involves end-to-end R&D (data sourcing, labeling, modeling, evaluation), designing production-ready deployments, technical leadership and mentoring; requires an advanced degree and 7+ years of applied ML/research experience.

CrowdStrike is hiring a Data Scientist to lead R&D and production deployment of LLMs and GenAI agents for cybersecurity. Responsibilities include end-to-end research (data sourcing, labeling, modeling, evaluation), technical leadership, mentoring, and collaborating with engineering and product teams. Requires an advanced degree (MS/PhD), 5+ years of applied ML/research experience, strong Python and deep learning framework skills, GPU optimization knowledge, and experience with LLM training or deployment at scale. US base salary range: $120,000–$180,000 per year.

Chainguard seeks a Staff Software Engineer to design, build, and operate backend systems (Go, REST/gRPC) for entitlements, policies, and customer onboarding. The role involves cross-team integration, extending AI features into customer experiences, and providing technical leadership and mentorship for the Customer Platform team.

Seeking a Senior Quality Engineer (QE3) with 7+ years in QA/software testing to design and implement AI-enabled test automation frameworks, validate AI/GenAI features (prompt-based validation, hallucination detection), and drive CI/CD and production monitoring for AI-integrated applications. Role emphasizes Playwright (TypeScript/JavaScript), Cursor and other AI IDEs, performance testing (JMeter/k6), and cross-functional collaboration across data science and engineering teams. Salary range: USD 77,000–118,000/yr.