Lead cross-functional teams to define platform architecture and APIs for agentic workflows, standardize and automate agent frameworks (e.g., LangChain, AutoGen), build GenAI SDKs/CLIs, implement trust & safety guardrails, optimize orchestration and cost, and own Kubernetes Helm charts/operators. Requires deep engineering and AI/ML experience (minimum 8 years with a Master’s or 10 years with a Bachelor’s), strong cloud and K8s expertise, and experience deploying responsible, scalable AI systems.

The role is a full-time, on-site-in-hybrid (Mon/Wed/Fri) engineering position on Replit’s AI Studio to design, architect, ship, and operate custom AI-driven internal platforms across departments. Responsibilities include building front-end and back-end services, LLM pipelines (prompting, tool-calls, RAG), third-party integrations, production reliability, and partnering with non-technical stakeholders. The position emphasizes practical business understanding, autonomy, and experience with modern software engineering practices.

NVIDIA seeks a senior machine learning/graphics engineer to apply AI and deep learning research to productize neural graphics for gaming, AR, and pro-visualization. The role requires expertise in ML/DL, real-time computer graphics, CV, strong programming skills (Python, C++, CUDA), and experience with TensorFlow/PyTorch. Position is US-based (Durham and Santa Clara listed) with remote options; salary ranges provided for levels 5 and 6.

NVIDIA is hiring a Senior Solutions Architect (Agentic AI) to partner with enterprise ISVs to design, build, optimize, and deploy production-grade agentic AI systems on NVIDIA platforms. Responsibilities include leading partner engagements from discovery to production, building PoCs and reference architectures, guiding model customization and post-training workflows, and advising on performance, reliability, safety, and observability. Requires BS/MS/PhD or equivalent, 8+ years of engineering/solutions architecture/applied ML experience, hands-on experience with LLMs, RAG, agent orchestration, Python, Linux, and frameworks such as PyTorch or TensorFlow. Base salary range: 184,000–287,500 USD per year.

Develop AI networking communication frameworks, production tools, and large-scale benchmarks for data center and supercomputer environments. Requires 5+ years' experience, professional Python development, strong Linux/CLI skills, and experience across distributed/clustered AI systems. Locations include US (multiple states) with remote options; posted salary ranges provided per levels.

Responsible for end-to-end model training strategy and data management for Commercial AI products (LLMs and traditional ML). Tasks include fine-tuning LLMs (QLoRA/LoRA/PEFT), building reproducible training pipelines, data governance/versioning, experiment tracking, distributed training and GPU optimization. Requires 12+ years of relevant AI/ML engineering or data engineering experience. US remote role; US base salary range $159,600–$207,500/year.

Lead the design of orchestration and abstraction layers that connect LLMs to tools, data, and sub-agents; build and operate MCP (Model Context Protocol) servers; define tool-surface strategy and multi-agent patterns. Own retrieval/RAG design (chunking, embeddings, vector stores, hybrid search, re-ranking), context-window and memory strategies, routing, observability, evaluation, and security controls. Requires deep hands-on experience with orchestration frameworks and retrieval systems, strong platform/API design skills, and at least 12 years of software/AI engineering experience.

Arize AI is hiring a Forward Deployed AI Engineer to partner with enterprise AI teams to design, implement, and scale GenAI observability and evaluation programs. The role is hands-on and client-facing, requires 2+ years software development experience, strong skills in Python/Java/TypeScript (comfortable in at least two), MLOps and cloud technologies (AWS/GCP/Azure), and experience with Docker/Kubernetes. Candidates must be based in the San Francisco Bay Area / PST timezone.

Join the GitHub Copilot AI Models team as a Staff Software Engineer to design, build, and maintain scalable, reliable backend services and APIs powering Copilot. Responsibilities include system design, implementation, testing, CI/CD, on-call participation, mentoring, writing architecture proposals, and collaborating with cross-functional teams. Required experience includes substantial production software engineering and familiarity with multiple programming languages and cloud/CNCF concepts.

NVIDIA seeks an Applied Agentic AI Lead to collaborate with ISV Software Platform Architects to co-design, prototype, and ship production agentic AI systems (RAG, multi-agent, long-horizon workflows) on NVIDIA technologies. The role requires 12+ years of relevant technical, product, or solutions experience, strong deep learning and GenAI foundations, hands-on experience with LLM stacks and production deployment tooling (Python, LangChain, vLLM, TensorRT-LLM, Kubernetes, etc.), and the ability to represent partner needs to product and engineering teams.

NVIDIA seeks a Senior AI/Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms and code-generation techniques. The role requires strong CUDA and GPU performance debugging skills, experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton), and proficiency in C/C++ and Python. The position lists a minimum of 3+ years' relevant experience and provides a base salary range of 152,000–241,500 USD per year.

Software Engineer II (remote) responsible for designing, developing, deploying, and supporting production applications with emphasis on ML/AI solutions. Requires experience with Python and at least one OOP language, ML frameworks (e.g., PyTorch, TensorFlow), SQL/NoSQL databases, cloud platforms (Azure/AWS/GCP), CI/CD and DevOps practices, microservices/APIs, testing, monitoring, and related engineering practices. Minimum 2 years' experience. Salary range (for listed locations) $90,000–$170,000/year.

Technical Engagement Lead responsible for architecting, prototyping, and shipping production agentic AI systems (RAG, multi-agent, inference) on NVIDIA stack and open tools; drive adoption with strategic ISV partners, coordinate cross-functional teams, and inform product and research priorities. Requires 12+ years in technical product/engineering/solutions roles, advanced AI/ML and deep learning experience, and proficiency with Python, PyTorch, MLOps, Kubernetes, and relevant agent/LLM tooling. Salary range provided: 224,000–431,250 USD base (location- and level-dependent).

Capital One seeks a Distinguished Engineer (full stack) to provide technical leadership across finance technology, drive architectural excellence, and lead AI-native engineering practices (AIOps, LLM/agentic systems). Requires expertise in software and solution architecture, distributed/HPC and ML systems, cloud platforms (AWS/Azure/GCP), data engineering, and hands-on coding (Python, Java, Go, Scala, JavaScript/TypeScript). Role is remote-eligible and includes mentoring and cross-team collaboration.

The Forward Deployed AI Accelerator will work directly with groups of ~20 marketers to identify high-leverage workflow changes, build custom AI tools and agents, coach marketers to adopt and self-sustain those solutions, and document and scale successful patterns across marketing. Requires 5+ years' experience and demonstrated hands-on experience building AI-powered tools, plus coaching/enablement experience and strong communication skills.

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and open-source inference frameworks. Responsibilities include performance optimization, scaling DL models across NVIDIA accelerators, and contributing to inference libraries (vLLM, SGLang, FlashInfer). Required: MS/PhD or equivalent, 5+ years software development experience, strong C/C++ skills; Python and GPU programming (CUDA, Triton, CUTLASS) experience are listed as pluses.

Serve as the principal technical authority in the Commercial AI Center of Excellence to define multi-year technical vision, reference architectures, and standards for AIaaS. Hands-on responsibility across data, model training and fine-tuning, retrieval/RAG, orchestration, evaluation, observability, and production operations, with emphasis on responsible AI, cloud optimization (Azure preferred), and mentoring senior engineers.

NVIDIA OpenShell seeks a senior research engineer to identify, prototype, benchmark, and integrate advances in agentic systems and LLM infrastructure into production runtime and developer tools. Requires 8+ years of relevant experience, MS/PhD or equivalent, deep experience with LLMs, agent harnesses, inference infrastructure, evaluation and safety approaches. Base salary range listed: 184,000–287,500 USD/year.

Build the first production services for a context layer management system: ingestion, indexing, retrieval orchestration, APIs, and agent-facing integrations. Help define a scalable multi-tenant SaaS foundation (tenant isolation, quotas, audit logs, background jobs), instrument and operate services, and contribute to technical direction. Requirements include experience delivering production software, working with LLMs/GenAI and prompt engineering, cloud-native environments (AWS/GCP/Azure), and observability tools.

NVIDIA seeks an AI Solutions Architect with 5+ years' experience in AI/software engineering to profile and optimize model training/inference on GPUs, develop and optimize GPU kernels (GEMM, attention), build POCs for LLMs and recommenders, and lead customer-facing technical engagements. Open to remote work with occasional travel; salary range USD 152,000–241,500 per year.