DigitalOcean seeks a Staff Engineer to lead architectural and low-level performance work for AI inference: benchmarking, GPU kernel optimization, attention-layer and memory/precision management, kernel fusion, quantization (FP8/INT8/FP4), and multi-node GPU parallelization. Requires deep GPU hardware/software expertise (NVIDIA/AMD, CUDA, ROCm, Triton) and 5+ years in high-performance computing or AI infrastructure.

Lead technical work on benchmarking and optimizing inference engines and GPU kernels to maximize throughput and minimize latency for large models. Responsibilities include attention-layer and memory optimizations, quantization (FP8/INT8/FP4), kernel fusion, multi-node GPU parallelization, and advising on GPU hardware/software stacks (CUDA, ROCm, Triton). Requires 5+ years in high-performance computing or AI infrastructure. Salary range provided.

DigitalOcean is hiring a staff/senior engineer to drive architectural decisions and implement performance optimizations at the inference engine and GPU kernel layers. Responsibilities include attention-layer and kernel optimizations, quantization (FP8/INT8/FP4), multi-node GPU parallelization, and benchmarking across NVIDIA and AMD stacks (CUDA, ROCm, Triton). Requires 5+ years in high-performance computing or AI infrastructure and deep GPU/low-level optimization experience.

DigitalOcean seeks a Senior Engineer to lead design and delivery of a multi-tenant AI inference data plane. The role focuses on distributed LLM serving at scale using Kubernetes-native frameworks (e.g., llm-d, vLLM, Ray Serve), performance optimizations (KV-cache, caching, batching, quantization), operational excellence, and upstream open-source contributions. Requires strong software engineering (Go or Python) and distributed-systems experience.

Senior individual contributor role reporting to the VP of Enterprise AI Transformation. Define and maintain enterprise AI architecture standards, reference patterns, governance guardrails, and decision frameworks; design scalable AI-enabled workflows across data, APIs, identity, security, and cloud; prototype and test LLMs and agent frameworks; guide solutions from pilot to production. Requires Bachelor's (or equivalent), 10+ years in enterprise/solution/platform architecture, hands-on AI/LLM prototyping, experience with TOGAF and AWS/Azure/GCP, and experience with integration/automation platforms.

The Home Depot's BlackLocus team seeks a Senior Data Scientist to design and deploy algorithms and scalable systems for competitive intelligence, product matching, pricing automation and GenAI-driven insights. Role emphasizes Python/SQL, predictive analytics, causal inference, ML model development/deployment, cloud AI platforms and cross-functional communication. Listed pay range: $90,000–$190,000 per year.

Grafana Labs is hiring a Staff Backend Engineer to design, implement, and operate the first production services for an AI-native context management system: ingestion, indexing, retrieval APIs, tenant isolation, usage tracking, and agent integrations. Role emphasizes building scalable multi-tenant SaaS, instrumentation and observability, working with LLMs/GenAI, and operating what you build. Position is remote with interest in applicants located in Spain, Sweden, United Kingdom, Ireland, or Germany. UK base salary range provided.

Grafana Labs seeks a Staff Backend Engineer to build the first production services for a context layer management system: ingestion, indexing, retrieval orchestration, APIs, tenant isolation, and agent-facing integrations. The role is remote (applicants in Spain, Sweden, UK, Ireland, Germany highlighted), requires production-grade backend and observability experience, and familiarity with LLMs/GenAI and cloud-native environments.

Grafana Labs is hiring a Staff Backend Engineer to design, implement, test, and operate the first production services for an AI-native context layer (ingestion, indexing, retrieval APIs, and agent-facing integrations). The role focuses on building a scalable, multi-tenant SaaS foundation, working with LLMs/GenAI, cloud-native environments (AWS/GCP/Azure), and observability instrumentation. This is a remote position with a Spain-specific salary range provided.

Grafana Labs is hiring a Staff Backend Engineer to design, implement, test, and operate the initial production services for an AI-native context layer (ingestion, indexing, retrieval APIs, and agent integrations). The role focuses on building a scalable multi-tenant SaaS foundation, instrumenting and operating services, and working across product and infrastructure. Experience with LLMs/GenAI, cloud-native environments (AWS/GCP/Azure), observability tooling, and shipping production-grade backend services is emphasized. Compensation range for applicants in the Republic of Ireland is EUR 117,600 - EUR 141,120 per year.

Responsible for designing and implementing agentic workflows grounded via RAG and ESRE, integrating and fine-tuning LLMs, and provisioning scalable cloud infrastructure (AWS/Azure/GCP) with Terraform. Role includes CI/CD, observability, security/networking controls, and acting as a technical lead and internal enabler for Elastic Stack-based agent solutions.

Lead end-to-end production of multi-agent AI systems: translate stakeholder requirements into secure, scalable architectures; implement and maintain systems using agentic frameworks and LLMs; apply Python, AWS, CI/CD, automated testing, and Slack/React integrations; maintain runbooks and participate in 24/7 on-call incident response while advising leadership and mentoring team members.

Hands-on principal product management role to translate ambiguous problems into AI product requirements, lead 0→1 discovery and scaled releases, partner with engineering/UX/SMEs, and own AI product quality (evaluation, monitoring, reliability) with a minimum of 6 years' product management experience and 2+ years direct AI experience.

NVIDIA seeks a hands-on Senior Solutions Architect to design, prototype, and ship agentic AI applications and high-performance RAG pipelines for M&E customers. Responsibilities include customer-facing technical leadership, optimizing inference on NVIDIA stacks, building reference architectures, and collaborating with engineering and sales. Requires 8+ years as an ML/software engineer or solutions architect, production coding in Python/C/C++, expertise in PyTorch, distributed GPU training/inference, multi-agent frameworks, and cloud or on-prem deployments. Salary range provided: 184,000–287,500 USD per year.

Capital One is hiring a Senior Director of AI Engineering to lead cross-functional teams building foundation-model training, LLM inference, similarity search, guardrails, observability, and related AI infrastructure. The role requires deep technical expertise in large-scale AI systems, experience leading engineering teams, and delivering scalable, responsible AI solutions on cloud platforms.

Work on the Duo Chat backend to design and build Flow Registry components using Python and LangGraph, integrate generative AI models and multi-agent orchestration, and implement GraphQL/REST APIs and monolith logic. Responsibilities include improving observability, test coverage (pytest, RSpec), performance and reliability, collaborating with product and UX, and participating in Tier 2 on-call rotations.

Join Datadog's Data Visualization organization to lead the design and delivery of AI-native product experiences (dashboards, notebooks, investigations). Responsibilities include building LLM-powered and agent-enabled interfaces, driving prompt/context engineering and evaluation frameworks, ensuring AI reliability and scalability, and providing technical leadership across product and engineering teams. Positions located in multiple French cities and Madrid, Spain; hybrid workplace.

Lead a cross-functional team to develop, validate, benchmark, and deploy machine learning systems and agentic AI patterns. Responsible for model strategy, technical architecture choices (open source and cloud), and influencing senior business and regulatory stakeholders. Role requires extensive hands-on experience with ML, open-source languages, relational databases, cloud platforms (AWS), and DevOps/CI-CD practices.

The Forward Deployed Engineer partners with enterprise customers to lead discovery, solution design, proofs of concept, deployments, and adoption of AI-powered solutions for a global digital-first marketing client. Responsibilities include technical discovery, workshops, solution architecture, data integration, implementation, and driving pilots to enterprise-scale rollouts. Position is fully remote and requires at least 5 years in solutions architecture, technical consulting, or related customer-facing technical roles.

The Forward Deployed Engineer partners with enterprise customers to lead discovery, solution design, POCs, deployments, and adoption of AI-powered solutions. Requires 5+ years in solutions architecture, technical consulting, or similar customer-facing roles and hands-on experience with deployments, data integrations, analytics, and marketing technologies.