Technical lead on the AI Products team responsible for architecture, LLM integration patterns, evaluation/testing standards, and production reliability of customer-facing AI features. Role contributes across the full stack (backend Python services, REST APIs, frontend React/TypeScript), partners with the AI Platform and Security teams, and requires 8+ years of software engineering experience plus hands-on experience deploying on AWS and shipping LLM-integrated features in production.

Join NVIDIA's Partner Network as a Senior Solutions Architect to guide partners in adopting end-to-end AI and HPC solutions using NVIDIA compute, networking, and software stacks. The role requires 12+ years of experience with cluster management and tools such as Docker, Slurm, Kubernetes, and Ansible, plus hands-on experience with networking, storage, and GPU-based workloads.

Lead research initiatives in computer vision, multimodal understanding, and visual generation; develop and deploy large-scale vision and multimodal foundation models; collaborate with applied scientists, ML engineers, and product teams; mentor scientists and engineers. Requires ~8+ years experience and strong expertise with transformers, diffusion models, contrastive learning, Python, PyTorch, and TensorFlow.

NVIDIA seeks a Senior Solutions Architect/AI Compute Engineer to work with partners, customers, and internal teams deploying and validating Linux-based AI/HPC systems. Role requires 8+ years of deployment/support experience, expertise in Linux administration, cluster provisioning, networking, scripting (Bash/Python/Ansible), schedulers (SLURM/LSF/UGE), benchmarking (HPL/NCCL/MLPerf), Kubernetes, and up to 30% US travel.

Research and develop techniques to GPU-accelerate leading federal-ecosystem applications; perform in-depth analysis and optimization for current and next-gen GPU architectures; craft and optimize parallel algorithms and data structures; contribute reference code and software stack; collaborate with architecture, research, libraries, tools, and system software teams. Occasional travel. Salary ranges provided by level in posting.

Seeq is hiring an AI Customer Insights Engineer to design and deploy account-level intelligence (Slack summaries, operational signals), build/extend data pipelines, develop Python automation, and improve customer health and renewal predictability. Requires a bachelor’s in a quantitative/engineering field, 0–3 years experience, working knowledge of SQL, strong Python skills, exposure to data modeling and LLMs. Remote-first role with a listed base salary of $115,000 USD per year.

Hands-on senior role to design, build, and deliver production Gen‑AI systems end-to-end (UI, backend, deployment). Responsibilities include implementing RAG, tool-calling, agent workflows, prompting patterns, evals, and guardrails; configuring CI/CD and environments; and ensuring security, auditability, and PII-aware handling. Strong JavaScript/TypeScript experience and familiarity with React/Next.js, Node.js, Postgres, vector stores, and cloud platforms are required.

Seeking a Senior Full-Stack AI Engineer to own end-to-end delivery of production Gen-AI features (RAG, tool-calling, agents, prompting, evals, guardrails). Requires 6+ years building production front-end and back-end software, strong JavaScript/TypeScript skills, experience with React/Next.js and Node.js, SQL/Postgres, vector stores, cloud (AWS/GCP/Azure/Vercel), and CI/CD. Role involves client-embedded consulting and light DevOps ownership.

The Sr. Distinguished Machine Learning Engineer will define technical strategy and build production-grade, low-latency personalization and recommendation systems, end-to-end ML pipelines, MLOps tooling, and LLM optimization techniques. Role requires extensive experience with distributed computing, cloud platforms (AWS/GCP/Azure), containers and orchestration, ML frameworks (PyTorch/TensorFlow), and leading cross-functional technical initiatives. Capital One may sponsor employment authorization.

Entry-level Deep Learning Software Engineer role (New College Grad 2026) working on TensorRT and related inference frameworks. Requires a relevant degree, about 2 years of software development experience, strong C++ and Python skills, experience with DL frameworks (PyTorch/JAX/TensorFlow/ONNX) and inference libraries, and expertise in performance analysis and optimization for GPU-based inference.

Very Big Things (engaged via Bitovi for initial interviews) seeks a Lead AI Engineer to architect and implement a core workflow automation platform, make stack and architecture decisions, and deploy/customize solutions for enterprise customers. Requires 7+ years building production software, 2+ years with generative AI in products, expertise in TypeScript/JavaScript and modern stacks, experience with data layers and cloud/DevOps, and strong client-facing and leadership skills.

The AI Security Consultant will contribute to engagements to secure AI workloads, perform threat modeling, identify automation use cases, and help modernize cybersecurity programs. The role requires 2+ years of relevant experience (typical range 2–6 years), strong technical analysis and communication skills, and up to 30% travel to client sites.

DataCamp is hiring a Principal AI Engineer to design and build the core AI tutoring system that delivers real-time, adaptive learning. Responsibilities include prompt architecture, agentic workflows, rigorous experimentation and evaluation, productionizing model interactions, integrating AI with platform and content systems, and ensuring quality through monitoring, testing, and guardrails. The role requires experience building LLM-based systems (1+ years), strong software engineering skills (Python, cloud, CI/CD), and the ability to translate pedagogical goals into technical solutions. Locations listed: Belgium, Portugal, United Kingdom, United States (also Dubai provided as a location).

Kraken seeks a senior technical builder to design and deploy production-grade agentic AI workflows for finance (reconciliations, close, treasury, reporting, controls). The role requires hands-on experience with LLM orchestration and multi-agent systems, strong systems architecture skills, proficiency with Python and modern AI automation tooling (Claude/Anthropic APIs, workflow engines, agent coordination layers), and domain knowledge of finance operations and SOX-compliant automation.

Design, develop, and deploy ML and AI-powered features (including LLM-based/GenAI workflows) into production. Responsibilities include model development (classification, ranking, NLP, anomaly detection), feature engineering, data pipelines, model evaluation/monitoring, and collaborating with engineers and product teams. Candidates must be located in the DC/Maryland/Virginia (DMV) area and authorized to work in the United States.

Lead and grow a team building kernels, runtime optimizations, and frameworks for LLM/VLM/VLA inference on NVIDIA GPUs and edge/enterprise platforms. Requires MS/PhD or equivalent, 7+ years software engineering experience including 3+ years of technical leadership, strong C++/Python skills, and experience with LLM inference and GPU/CUDA performance tuning. Posted base salary range: USD 184,000–356,500 (varies by level and location).

Owner of design, deployment, governance, and handover of AI-enabled compliance solutions (alert pre-screening, narrative generation, EDD, regulatory summarization). Role requires building production automation with n8n, Python, Claude API/Anthropic, MCP, API integrations, audit trails, and human-in-the-loop controls while ensuring data-privacy and regulatory compliance across jurisdictions.

Twilio is hiring a Machine Learning Engineer to collaborate cross-functionally to translate product requirements into production ML services (streaming anomaly detection, recommendation systems, predictive models, LLM/agentic frameworks). The role requires 5+ years building, deploying, and operating ML/data systems, proficiency in Python, Java, SQL, experience with orchestration (Airflow/Kubeflow), cloud platforms and MLOps tooling, and responsibilities include monitoring, on-call incident response, and driving engineering and operational excellence.

Work on storage and GPU IO solutions, developing high-performance C++/CUDA libraries and optimizations across the IO stack, collaborating with research teams. Requires strong knowledge of Linux kernel internals, filesystems, object storage, NVMe, virtualization, containers, cloud, and 7+ years coding experience (C, C++, Rust, Python).

The Home Depot seeks a Manager, AI Platform Engineering to lead a team building and operating an enterprise Generative AI platform, focusing on multi-model orchestration, AI agents, secure production deployments, and cross-functional collaboration. Requires software engineering experience (minimum 5 years), strong knowledge of Java/OOP, CI/CD, containerization (Docker/Kubernetes), cloud platforms (Azure/GCP), and familiarity with security, privacy, and responsible AI practices. Role includes people leadership, delivery execution, support, and occasional travel (5–20%).