Role to design, implement, and harden production AI agents: multi-step reasoning pipelines, LLM orchestration and planning, tool and data integration, RAG/embedding pipelines, and monitoring. Requires 5+ years software engineering (TypeScript/Node, Go, or Python), hands-on LLM experience (prompting, function calling, model selection, evaluation), experience with LangChain/OpenAI Agents SDK or similar, and knowledge of CI/CD, containerization, GPU/AI infra, and security/PII guardrails. English proficiency (B2).

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.

NVIDIA is hiring a Senior Deep Learning Inference Software Engineer to design, build, and optimize GPU-accelerated software and inference frameworks (vLLM, SGLang, FlashInfer). The role centers on performance tuning for LLMs, multimodal and generative AI across NVIDIA accelerators and requires strong C/C++ skills, 5+ years' software development experience, and GPU/CUDA experience. Salary ranges for Poland are provided.

NVIDIA seeks a Senior Solutions Architect for Industrial Engineering to advise CAE/CFD/FEA ISVs, simulation platforms, and OEMs. Role involves accelerating solvers on NVIDIA GPUs/HPC, applying physics-ML and surrogate models, using Omniverse for digital twins, analyzing application architectures, and delivering trainings and demos. Requires 8+ years in computational engineering or simulation, strong numerical methods background, and hands-on experience with tools like Ansys, OpenFOAM, and languages such as Python and C/C++.

Senior AI Engineer responsible for translating AI concepts into enterprise-ready products: developing scalable LLM/agent-based applications, orchestration layers, and cloud-native MLOps (Docker, Kubernetes/GKE, Terraform, CI/CD). Requires 6+ years experience, strong Python and production AI delivery skills. Role is remote with requirement to be legally permitted to work in the United States; travel typically 5–20%.

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.

Join GitLab's DAP Repository Flows team to design and deliver end-to-end features for onboarding and repository/background flows on the Duo Agent Platform. The role focuses on building autonomous and scheduled agents that operate on customer codebases, integrating LLMs into products, and collaborating in a distributed, async-first environment. Strong hands-on Ruby and Ruby on Rails experience is required.

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.

Lead the design and delivery of full-stack internal AI applications that incorporate LLMs, agents, retrieval systems, workflow automation, enterprise integrations, and application-level identity/authorization. Partner with platform and business teams to instrument telemetry, ensure security and compliance, and convert prototypes into repeatable, production workflows. Requires 7+ years software engineering experience.

Individual contributor role focused on developing and deploying AI agents for marketing use cases, administering and optimizing Marketo, integrating MarTech tools (CRM, CMS, third-party platforms), and providing campaign operations and technical support across US time zones.

Role involves owning data-heavy features from design through production: improving data models, pipelines, migrations, and multi-tenant systems. Work occurs in a TypeScript monorepo using Hono and Drizzle/Postgres, with serverless AWS infrastructure (Lambda, SQS, EventBridge, S3) managed via SST/Pulumi; experience with OpenAI/Anthropic integrations and AI agents is expected. Requires 5+ years building, scaling, and running production software.

Join MeridianLink as a Senior AI Engineer on product teams building financial products for credit unions. Own features end-to-end on a TypeScript stack (React 19, React Router 7, Tailwind, Hono, Drizzle/Postgres) with AWS infrastructure (SST/Pulumi, Lambda, SQS, EventBridge, S3). Requires 5+ years of production software experience, strong full-stack and front-end skills, and hands-on experience with AI coding tools and integrations (e.g., OpenAI, Anthropic).

Nearform is hiring a Senior Forward Deployed Engineer (based in Italy) to design, build, and deploy scalable AI-driven and agentic platforms (LLM orchestration, multi-agent systems, RAG) integrated with enterprise systems. The role requires senior consulting experience, Python expertise, Kubernetes deployment skills, and travel to client sites within Europe.

Join Sonatype's AI & Data Science team to prototype, validate, and help deploy ML and generative-AI solutions (malicious-behavior detection, anomaly/fraud detection, developer GenAI features). Requires 5+ years experience, strong Python skills, familiarity with LLM ecosystems and tools (Databricks, scikit-learn, LLM APIs, LangChain/LangGraph/Semantic Kernel), and experience taking models from research to production.

Join Sonatype's AI & Data Science team to operate as an internal AI consultant and technical lead: scope problems, design experiments, build and validate models (classical ML to LLMs/embeddings/RAG/agentic workflows), and translate research into scalable production APIs and workflows. The role emphasizes collaboration with product, engineering, security, and data-governance teams, strong Python and Databricks experience, and practical familiarity with modern LLM ecosystems and MLOps practices.

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.

Lead technical architect within Product translating product strategy into scalable AI, data, and platform architecture for Anomali’s Agentic SOC Platform and MIaaS. Responsibilities include defining the Intelligent Unification Layer and Governed Decisioning Layer, architecting large-scale data and ingestion pipelines, guiding search/RAG and vector-based retrieval, partnering with Data Science and Engineering to productionize AI capabilities, leading cross-functional delivery, and engaging with executive customers. Bay Area candidates preferred for hybrid work at Redwood City HQ; remote candidates considered if located within the United States. No visa sponsorship available.

Role at NVIDIA to lead architecture and performance work on Dynamo, building integrations with vLLM, SGLang, and TensorRT-LLM; responsibilities include finding and removing bottlenecks across runtimes, kernels, networking, and orchestration, and developing inference optimizations such as scheduling, disaggregation, KV caching, and autoscaling. Requires 3+ years experience and strong skills in Python/Rust/C++ and ML inference techniques.

NVIDIA is seeking an engineer to research, prototype, and implement systems optimizations at the intersection of deep learning frameworks and low-level CUDA. Responsibilities include designing and optimizing custom CUDA kernels, architecting distributed cluster-scale systems, analyzing hardware-software interactions, developing profiling and runtime tools, and collaborating with researchers and compiler/driver teams. Requires a BS/MS/PhD or equivalent, 2+ years relevant experience, strong C++ and Python skills, familiarity with CUDA and GPU architectures, and experience with transformers and distributed ML.