Work on research-oriented projects at the intersection of CUDA and deep learning systems, including custom high-performance CUDA kernel development, profiling and optimizing generative AI models and transformers, and architecting distributed systems that scale from single GPUs to supercomputer clusters. Requires strong C++ and Python skills, deep learning background, GPU/CUDA experience, and 8+ years of relevant experience.

Lead the technical design and implementation of agentic systems and the shared AI platform: model access and routing, agent runtimes, durable orchestration, evaluation, identity, audit, observability, and cost attribution. Role requires substantial architecture experience (typically 10+ years), recent hands-on production experience with LLMs/agents, proficiency in production languages (Python/Go/TypeScript) and cloud-native infrastructure, and experience integrating enterprise systems (Workday, Salesforce, NetSuite, etc.).

Veeva is hiring a Senior Software Engineer (Python) as a founding member of a team building an AI-first enterprise SaaS platform. The role requires 5+ years of production-level Python development and experience building high-scale cloud SaaS products, with hands-on experience in Python, Git, FastAPI, and Pydantic. Base salary range provided: $110,000–$270,000 (USD, annual).

Join a small, senior engineering team to design and implement application layers, business logic, and APIs that integrate AI agent frameworks with relational databases. Responsibilities include end-to-end feature delivery, agent and vector/RAG integration, multi-cloud and on-premises deployments, performance optimization, and ensuring multi-tenant data isolation and security. Requires 5+ years professional experience and production experience across at least two major public clouds.

MariaDB seeks a senior developer to design and implement end-to-end application features that integrate AI agent frameworks, vector databases, and relational database capabilities. The role requires 7+ years of software development experience, multi-cloud deployment experience (AWS/Azure/GCP), strong Python and backend language skills, and expertise in SQL, performance optimization, security (RBAC, row-level security), and monitoring.

Senior Data Engineer + AI (remote) responsible for designing, developing, and maintaining AI-powered applications, scalable backend services, and cloud-native data platforms. Key technologies: Python, SQL, TypeScript, AWS, Databricks, Apache Spark, dbt, LLMs. Responsibilities include building end-to-end data pipelines, ensuring data quality/governance/observability, developing production-ready LLM/AI solutions, and collaborating with cross-functional teams. Requires 7+ years in software/data/AI engineering and a relevant bachelor's degree or equivalent experience.

The Sr. Learning Innovation Specialist designs, prototypes, and develops AI-powered workflows, automation pipelines, and learning technology integrations to improve speed-to-market and operational efficiency for the learning organization. Responsibilities include AI engineering, prompt architecture, automation, systems integration (LMS/CMS/APIs), learning analytics, rapid prototyping, and technical enablement. Requires a bachelor’s degree or equivalent, 3+ years experience in learning technology or related fields, and legal authorization to work in the United States. Travel is under 5%.

Twilio is hiring a remote Senior Software Engineer (role described at times as Staff level) for its Enterprise AI team, based in Colombia. The role focuses on building production-grade, full-stack AI/agentic applications, integrating React front-ends with modular backend services, and architecting scalable, secure data and distributed systems. Requires 6+ years in software or data engineering, experience with full-stack web development (JavaScript/TypeScript/React), and demonstrated experience designing data infrastructure, ETL and data pipelines. Occasional travel may be required.

AI Engineer II on the AI platform team building shared services such as model integration layers, retrieval-augmented generation infrastructure, prompt management systems, APIs, and evaluation/monitoring pipelines. Collaborates with product teams and senior engineers, contributes documentation and standards, and helps ensure safety, compliance, and proper handling of PII in a regulated financial-services context. Requires backend proficiency (Python, C#/.NET, Java, or Node.js), experience integrating LLMs/ML into production, knowledge of RAG, vector databases, and familiarity with cloud-managed AI services.

Cloudera seeks a senior-level Forward Deployed AI Engineer to work within the Forward Deployed Engineering (FDE) team in Japan and South Korea, building full-stack ML and agentic applications, advising customers on AI architecture and deployments, and codifying repeatable solution patterns. Requires 7+ years building production-grade systems, including 2–4 years on ML/GenAI systems, and experience with foundation models, RAG, LLMOps/MLOps, and cloud or big-data technologies.

Lead technical development of search and relevance features for Elasticsearch with a focus on vector search (HNSW, IVF) and high-performance Java code. Work is on a globally distributed team contributing to Elasticsearch and Lucene, handling feature design, bug fixes, algorithm and data-structure implementations, and collaborating via GitHub/async workflows. Typical salary range listed.

Virta Health seeks an AI Operations Engineer to serve as a hands-on SME for rolling out an agentic AI platform across departments. Responsibilities include driving adoption, establishing AI cost observability, assessing AI vendor risk with security/legal teams, integrating AI systems with internal infrastructure and data sources, and building long-term operational SOPs and training. Requires experience with generative AI platforms, LLM integration, API/model orchestration, dashboarding (SQL/Looker/Sheets), and software development (Python/C++). Role is remote-first and based in the United States.

Join Calendly's Data Science & Machine Learning team to design, build, and operate AI-powered features end-to-end. The role requires 6+ years of industry experience shipping and running production ML applications, experience with GenAI/foundation models (fine-tuning, prompt engineering), strong programming (Python/Scala/Java/SQL) and data engineering skills, and participation in on-call/incident response. Candidates must be authorized to work in the United States.

Cloudera seeks a seasoned Forward Deployed AI Engineer to work within the Forward Deployed Engineering (FDE) team: embed with customers, build and prototype full-stack AI/ML and agentic applications, advise on enterprise AI architecture, codify repeatable solution patterns, and mentor teams. Requires 7+ years building and deploying production systems, with 2–4 years on ML/GenAI systems; experience with foundation models, RAG, LLMOps/MLOps, cloud platforms, and enterprise deployment standards. Role is remote in Ireland with occasional on-site customer engagement; not eligible for immigration support or relocation.

Quora seeks a remote AI Financial Operations Analyst to build, run, and improve AI-driven automations for FP&A, tax, and finance operations. The role requires 5+ years in corporate finance/FP&A, hands-on experience building with AI (agents and LLM workflows), strong financial modeling and spreadsheet skills, and availability during Quora coordination hours (Mon–Fri 9am–3pm PT).

Hands-on Technical Product Manager role focused on designing and delivering production AI Agent applications for Veeva QualityDocs (quality content management) and Veeva Training (LMS). Responsibilities include AI product feature design and development, data flow and orchestration, prompt design, model integration, and collaborating with engineering and UX. Requires 5+ years enterprise SaaS product/engineering/consulting experience with 2+ years focused on AI/ML, coding in Python, experience with AI frameworks/APIs, and strong communication and collaboration skills. Base pay listed: $75,000–$165,000 per year. Must be based in or within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager (AI) to design and deliver AI agent solutions for Veeva QualityDocs (regulated quality content management) and Veeva Training (LMS). Role involves hands-on design and development of AI features, building production AI agent applications (data flow, orchestration, prompts), working with engineering and UX to automate business processes, and presenting capabilities to stakeholders. Requires 5+ years enterprise SaaS product/technical experience (2+ years on AI/ML), coding in Python, familiarity with AI frameworks/APIs, LLMs, prompt engineering, and the ability to be located within one hour of the Eastern Time zone. Travel ~20%.

Seeking a technical product manager with 5+ years in enterprise SaaS and 2+ years focused on AI/ML to design and deliver production AI Agent applications (Docs to Data) across Veeva Quality Cloud. Role requires hands-on design, Python coding, experience with AI frameworks/APIs, data flow and model integration, collaboration with engineering and UX, and ability to travel ~20%. Based in or within one hour of the Eastern Time zone (Toronto, Canada listed).

Veeva seeks a Technical Product Manager (AI) to design and deliver production AI Agent applications that analyze documents and extract structured data for the Veeva Quality Cloud (Docs to Data). Requires 5+ years enterprise SaaS product/technical experience (2+ years in AI/ML), hands-on Python coding, experience with AI frameworks/APIs, LLMs, prompt engineering, data flow design, and model integration. Must be located within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager to lead design and delivery of AI agents that extract document content into structured data for Veeva Quality Cloud. Responsibilities include hands-on AI agent design, data flow and orchestration, model integration, and collaboration with engineering and UX. Requirements: 5+ years enterprise SaaS product/engineering/consulting experience, 2+ years on AI/ML applications, Python coding, experience with AI frameworks/APIs, LLMs and prompt engineering. Base salary range listed: $75,000–$165,000. Must be located within one hour of Eastern Time and able to travel ~20%.