Develop and maintain coding-intensive training (Java, REST APIs) and lab environments focused on agentic AI topics—tool/function calling, RAG, prompt engineering, context management, and orchestration. Role requires hands-on experience building AI agents (e.g., LangChain, LangGraph, Claude Agent SDK), 3+ years creating technical training/curriculum, and familiarity with Git and API tooling.

Staff-level backend role responsible for setting technical direction and delivering autonomous and scheduled agents that operate on customer repositories, and improving the DAP onboarding experience. Requires deep hands-on Ruby/Rails experience, experience integrating LLMs into products, building agentic systems, and driving design and delivery of complex, high-scale systems in a distributed, async-first environment.

CrowdStrike seeks a hands-on Principal/Staff-level Data/AI Platform Engineer to architect, implement, and operate large-scale data platforms powering LLMs, RAG, and agentic systems. The role requires 5+ years in data/platform engineering (with 3+ years on AI/ML platforms), deep experience in LLM engineering, distributed systems, MLOps/DataOps, and production-grade tooling across cloud, streaming, and orchestration technologies. US base salary range: $195,000–$290,000/year.

Work on data foundation and AI-native engineering for MeridianLink Coach: own data-heavy features from design through production, improve data models, pipelines, migrations, and multi-tenant systems, and integrate or operate AI APIs (e.g., OpenAI, Anthropic). The tech stack emphasizes TypeScript, Postgres, serverless AWS (Lambda, SQS, EventBridge, S3) and infrastructure-as-code.

Own member- and credit-union-facing product features end-to-end, shipping production-quality code across a TypeScript stack (React, Hono, Drizzle/Postgres) and AWS infrastructure (Lambda, SQS, EventBridge, S3) managed with SST/Pulumi. Requires 5+ years building and running production software, strong front-end and typed backend skills, experience integrating with AI APIs (OpenAI/Anthropic) and using AI agents and related tooling.

Remote Staff Backend Engineer (Canada or United States) for GitLab's Nonlinear Productivity team. Responsible for setting technical direction for agentic systems and orchestration, discovering and fixing SDLC friction, applying distributed systems judgment across GitLab's codebase, mentoring senior and mid-level engineers, and owning a greenfield technical foundation. Proficiency in Go, Rust, or Python and experience with LLM/agentic systems and distributed systems fundamentals are required. US base salary range listed: $152,800–$259,200 USD per year.

Work across GitLab’s codebase to scope and build agentic, LLM-driven systems that automate multi-step engineering workflows (e.g., code review and release steps). Require hands-on experience making agentic/LLM systems reliable in production, strong distributed systems knowledge, and proficiency in Go, Rust, or Python.

Develop and prototype systems and optimizations at the intersection of CUDA and deep learning, including custom high-performance CUDA kernels, profiling and resolving hardware-software performance bottlenecks, and architecting distributed computing systems that scale to cluster/supercomputer environments. Requires 8+ years' relevant experience, strong C++/Python, CUDA and GPU expertise, deep learning (transformers) knowledge, and experience with distributed ML and performance optimization.

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.).

Lead the agentic engineering platform initiative end-to-end: set technical vision, design and ship multi-step LLM-orchestrated workflows, implement evaluation and observability, and integrate outputs into services delivery. Requires 10+ years experience, strong Python skills, production deployment of LLM-powered systems, expertise in RAG, tool integration, evaluation frameworks, and security practices (including air-gapped setups). Willingness to travel up to 15%.

AI Engineer II on the AI platform team building model serving layers, retrieval-augmented generation infrastructure, prompt management systems, evaluation and monitoring pipelines, and APIs for product teams. Requires 3+ years of software engineering experience, hands-on LLM/ML integration, familiarity with vector DBs and cloud-managed AI services, and strong backend engineering skills (Python, C#, Java, or Node.js). Role includes collaboration with product teams, documentation, standards enforcement, and handling data privacy/compliance considerations in a regulated financial environment.

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 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%.

Remote, full-time permanent consultant role (Boston, MA locality) requiring 3+ years in AI strategy or implementation consulting. Responsibilities include advising drug safety clients on AI adoption and governance, building validation/testing frameworks and monitoring dashboards (CSV/GxP compliance), leading implementations and training, and supporting customer success. Travel up to 50%; employer does not anticipate visa sponsorship.

GitHub is hiring a Staff Software Engineer for the Enterprise AI Governance team (US remote). The role involves designing, prototyping, implementing, and operating highly available, secure backend services and APIs that provide enterprise controls for Copilot (policy enforcement, auditing, configuration management). Responsibilities include technical leadership, system design, CI/CD, on-call participation, collaboration with product and security teams, and driving operational excellence. Salary range listed: USD 140,400–372,300 per year.

iFIT seeks a Director, Enterprise AI Enablement to co-chair AI governance, define technical standards and guardrails, build a community of business AI leaders, and deliver hands-on automations and integrations with enterprise systems. Requires 6+ years in a senior/lead engineering capacity, strong experience with agentic AI, RAG, multi-agent workflows, evaluation tooling, and proven ability to coach teams and measure business impact.

Work on Dynamo's open-source GPU-accelerated inference stack, extending disaggregated serving across vLLM, SGLang, and TensorRT-LLM to support agentic inference (long-horizon reasoning, tool calling, stateful multi-turn execution). Responsibilities include inference-state management (KV/prefix caches, memory/storage hierarchies), building distributed frontends, optimizing throughput and latency, and contributing to upstream API compatibility. Requires 10+ years' experience, strong Rust and Python skills, and expertise in LLM inference and GPU optimization.

Role involves developing datasets, models, MLOps, and safety tools to assess, quantify, and improve safety and inclusivity of multimodal LLMs (content safety, product security, robustness, ML fairness). Requires a Master's/PhD or equivalent and a minimum of 2+ years developing and deploying ML models in production with hands-on Python and frameworks like PyTorch or Keras.

NVIDIA seeks a Senior Deep Learning Scientist to research and implement multimodal, agentic foundation models (audio-visual, voice chat, tool use). Role involves developing and scaling LLMs, applying post-training and alignment methods (instruction tuning, RLHF/RLVR/MOPD), dataset collection and benchmarking, and working with large-scale distributed infrastructure. Requires a Master's/PhD or equivalent with 8+ years' relevant experience and strong Python and PyTorch skills.