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 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.

Hiring a Forward Deployed Engineer to work embedded with client teams to map end-to-end creative workflows, design future-state processes, configure and implement creative AI platforms (LLMs, agents, prompt architectures), integrate with DAM/CMS/MarTech stacks, and deliver production-ready proofs of concept with governance and adoption support. Requires 5+ years in creative technology, content operations, production engineering, or applied AI.

The Forward Deployed Engineer will conduct organizational diagnostics, redesign workflows and operating models, and rapidly build functional AI-powered proofs of concept (using LLM APIs and low-/no-code tools) to drive technology adoption. Requires 5+ years in management consulting or equivalent enterprise technology/professional services experience, strong diagnostic and stakeholder-alignment skills, and hands-on ability to ship working prototypes autonomously.

Seeking a senior Forward Deployed Engineer to conduct organizational diagnostics, redesign operating models and workflows, and rapidly build AI-powered proofs of concept (LLM APIs, low-code/no-code) to demonstrate value. Requires 5+ years in management consulting or enterprise technology roles, experience with change management and process engineering, and the ability to operate autonomously in client engagements. Role is offered as 100% remote.

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.

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.

EXANTE seeks a hands-on Builder to own assigned problems end-to-end: discover needs, write specs, build with AI coding agents, test, deploy and operate production solutions (front-end, backend, data). Role requires proven track record shipping software with AI tools, product ownership instincts, full-stack fluency (React, Python, SQL), analytics-driven decision making, and strong written stakeholder communication. Remote/hybrid worksite; no people management.

The Home Depot is hiring a Senior Software Engineer to independently develop, refactor, and maintain production applications (payroll/HCM and AI-focused). Responsibilities include full software lifecycle work (development, testing, CI/CD, deployment), integrations/APIs, security/authentication, performance tuning, monitoring, and mentoring junior engineers. Minimum 3 years' experience; preferred experience with Workday Payroll, AI/automation solutions, Java and front-end technologies.

CrowdStrike is hiring a Senior AI Agent Developer to design, develop, and deploy production AI agents that improve enterprise workflows. The role emphasizes hands-on Python development, LLM/agent experience, prototyping, evaluation and optimization, and attention to AI safety and governance. The posting lists a US base salary range of $140,000–$215,000 per year.

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.

Work includes designing and training novel deep learning models on large-scale GPU clusters, prototyping architectures and algorithms for tabular, relational, and graph-structured enterprise data, applying transformer and advanced retrieval approaches, and partnering with engineering and product teams to ship production-ready features. Required: Master's or PhD in a quantitative field, production or top-tier research experience with transformers and retrieval, strong Python and automatic-differentiation framework skills (PyTorch, JAX, TensorFlow), and experience with large-scale distributed training (DeepSpeed, TorchTitan). Nice-to-have: ML pipelines (Kubeflow, Airflow, MLflow) and PySpark for large data pipelines.

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.

Senior Forward Deployed Engineer (Remote Build) at Remote: design, build, and deploy AI-enabled solutions that integrate Remote’s platform with customer systems (APIs, webhooks, workflows). Responsibilities include technical discovery with customers, architecture and implementation, production ownership (observability, incidents, performance), evaluation of AI behavior, and turning one-off solutions into reusable playbooks. Remote role with ~10% travel; applications requested in English. Annual salary range listed: $53,300–$215,750 USD.

Role requires working with EDA/CAD developers and semiconductor customers to accelerate EDA and manufacturing workflows using NVIDIA GPUs and software (e.g., cuLitho, CUDA). Requires 4+ years in semiconductor design/EDA/manufacturing or AI/ML applied to these domains, experience with Python/C/C++, AI frameworks (PyTorch/TensorFlow), and familiarity with HPC, containers, and distributed GPU systems. Master's/PhD or equivalent experience preferred.

Role involves working with engineering-software developers and customers to accelerate CAE/CFD/FEA solvers and simulation workloads on NVIDIA accelerated computing and HPC platforms, applying physics-informed ML and Omniverse digital-twin technologies, analyzing application architectures, and delivering trainings and technical demonstrations. Requires an MS/PhD (or equivalent) and 4+ years in CAE/CFD/FEA or computational engineering.

Join Veeva as a Senior Software Engineer to be a founding member of a new AI-first product team. The role focuses on production-level Python development (FastAPI, Pydantic), building scalable enterprise SaaS cloud applications, owning features end-to-end, mentoring engineers, and applying AI to engineering and product problems. Applicants must have the unrestricted right to work in the United States.

Lead design and implementation of shared infrastructure, deployment patterns, observability, integrations, and platform services for an internal AI agent platform; collaborate with cross-functional teams to move agents to production. Requires 5+ years of hands-on engineering experience. Salary range listed: $148,000–$203,500 USD per year.

GitHub is hiring a Machine Learning Engineer to build and operate scalable ML and agentic systems (leveraging large language models) for trust & safety use cases including fraud, spam, and abuse detection. Responsibilities include model evaluation, production deployments on cloud platforms (e.g., Azure AI Foundry), cross-functional collaboration, and identifying product vulnerabilities. Minimum qualification paths include multi-year ML experience or relevant degrees.

Remote Staff AI Engineer role focused on designing, prototyping, and shipping production AI features for Grafana Cloud observability. Responsibilities include building LLM- and agent-powered workflows for incident detection and triage, integrating AI with alerting/runbooks/developer workflows, rapid experimentation, and collaborating with cross-functional teams. Requires experience with LLMs/GenAI, prompt engineering, cloud-native environments (AWS/GCP/Azure), and observability tooling.