Lead end-to-end improvement of Elastic's Context Engine used by AI agents: implement and iterate on extraction automations, retrieval and memory, design telemetry and evaluations, define safe rollout/versioning for prompts/skills/tools, and collaborate with data scientists, backend engineers and product. Requires 10+ years of software engineering experience shipping AI-driven products, experience with agents, telemetry, evaluation, and backend development in TypeScript or Python. Elasticsearch and MCP familiarity are listed as beneficial.

Own end-to-end improvement loop for the Context Engine that serves AI agents from Elasticsearch: design telemetry and evaluation, iterate on prompts/skills/automations safely, and ship production code. Requires 10+ years of software engineering experience shipping AI-driven production products, strong backend skills in TypeScript or Python, familiarity with agent frameworks, retrieval/memory, MCP, and practical Elasticsearch experience. Typical starting salary range: €104,800–€165,700 EUR.

Capital One seeks a Staff AI Engineer to partner with cross-functional teams to design, develop, deploy, and support AI components including foundation model training, LLM inference, agents/multi-agent workflows, similarity search/VectorDBs, guardrails, evaluation, and observability. The role emphasizes optimization for scalability, cost, latency, and throughput, adopting open-source and cloud tools (e.g., PyTorch, Hugging Face, AWS). Basic qualifications require a related Bachelor's plus 8 years experience or a related Master's plus 6 years experience. Position is remote-eligible and also listed for specific US locations.

Role involves researching and developing techniques to GPU-accelerate deep learning, machine learning, and AI workloads; performing in-depth analysis and optimization of complex AI and HPC algorithms on CPU and GPU architectures; collaborating with industry and academic experts; publishing or presenting optimization techniques; and influencing hardware and software design. Requires an advanced degree (or equivalent), 8+ years' relevant experience, programming fluency in C/C++, expertise in parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads), low-level performance optimization, and CPU/GPU architecture knowledge.

Build and ship internal AI infrastructure and agentic workflows (agents, MCP servers, connectors, Cowork plugins) and take ownership of internal BI on Databricks. Responsibilities include OAuth/credential/auth infrastructure, Kubernetes deployments, integration triage, usage tracking, security/compliance, and platform cost optimization. Role requires 8+ years backend engineering experience and prior experience with MCP/LLM agent frameworks and data engineering or analytics tooling.

Seeq seeks a Staff/Principal AI Software Engineer to provide architectural leadership and hands-on implementation of backend platforms and agentic AI systems. Responsibilities include designing scalable services, agent routing/orchestration, runtime and sandboxing infrastructure, observability and evaluation strategies, and integrations with internal and third-party systems. Requires 10+ years professional software engineering experience, substantial recent work on generative AI/agentic systems, deep Python and backend expertise, experience with Kubernetes and SaaS production systems. Salary range listed: 187,500 - 220,000 USD/year. Seeq does not sponsor US F1 or H-1B visas.

NVIDIA is hiring a Senior Perception Software Engineer to develop perception software components, deploy state-of-the-art DNN models to embedded/real-time platforms, and improve system robustness using real and synthetic benchmark data. The role requires strong C++ and Python skills, 12+ years of experience on embedded real-time platforms, and experience with testing, verification, and integration on hardware or robotic platforms.

Role at NVIDIA to design and develop learning-based multimodal sensor-fusion and world-model architectures that fuse camera, LiDAR, radar, map, navigation, and vehicle-state inputs into a temporally consistent, uncertainty-aware scene representation for L3/L4 autonomy. Requires deep experience in 3D perception, sensor calibration/synchronization, PyTorch/C++ development, and large-scale model training and deployment.

DataCamp is hiring a Senior Product Engineer in Portugal to lead end-to-end product and platform projects, shape architecture, and operate scalable, reliable services increasingly powered by LLMs. The role expects strong experience across the stack (TypeScript, Node.js, React), modern API design and microservices, an AI-native workflow (daily use of agentic coding tools like Claude Code and Codex), and 7+ years building software. Responsibilities include prototyping, measuring, iterating, ensuring testing and observability standards, and mentoring other engineers.

NVIDIA GEAR seeks a PhD research intern to design and implement algorithms and systems for general-purpose humanoid robots and embodied agents. Responsibilities include research on foundation models, large-scale training/inference, simulation and robot hardware deployment. Requires PhD student status in Computer Science/Engineering or related field, strong Python and ML framework skills (PyTorch/Jax/TensorFlow), and experience in multimodal models or robot learning. Hourly intern pay listed as 38–94 USD.

Hired into a specific Mapbox team but expected to work across teams on Search, Places, Location/Navigation Intelligence, and Platform problems. Own technical design and delivery of multi-component AI systems: define correctness and evaluation frameworks for non-deterministic behavior, build and maintain data pipelines (ingestion, conflation, entity resolution, batch/streaming jobs), instrument systems for reproducible failures, design model vs tool boundaries and model harnesses, and meet latency/cost targets. Requires 5+ years software engineering experience and 2+ years shipping LLM-backed features; strong data engineering skills (SQL, distributed processing), fluency with tool calling/agents, Python or TypeScript, and participation in on-call rotations.

Role to design, implement, tune and maintain large-scale HPC/AI clusters (monitoring, logging, alerting), manage job scheduling/orchestration (e.g., Slurm, K8s), develop CI/CD and automation tooling, and troubleshoot from bare metal to application. Requires 8+ years experience and knowledge of CPUs/GPUs, high-speed interconnects, Linux/Windows internals, storage solutions (Lustre, GPFS, Weka.io), networking protocols and virtualization/cloud platforms.

Owner of the technical layer for Kraken's internal AI platform: build and operate the governed integration gateway, onboard connectors and authentication flows, implement tiered spend and data controls, build internal tooling (agent scaffolding, prompt assets, evaluation harnesses), run enablement and documentation, and administer enterprise AI platform operations including vendor and provisioning management.

Own the technical layer of the enterprise AI platform: connector onboarding, authentication (OAuth, federated identity, Okta/SCIM), tiered spend controls, data-handling controls, provisioning, vendor configurations, and enablement (training, runbooks, office hours). Role requires SaaS administration at scale, software development (Python), CI/containers, identity integration, and operational discipline.

The Senior AI Growth Engineer designs, builds, and maintains automated, AI-driven acquisition infrastructure (outbound workflows, enrichment pipelines, personalization logic, lead routing, and lifecycle automation). Works with demand generation, lifecycle marketing, and analytics to instrument the acquisition stack (CDP, marketing automation, CRM, experimentation), create segmentation and scoring models, run experimentation, and produce reporting on funnel performance and attribution.

Remote (USA) senior role requiring 5+ years in operational threat intelligence, incident response, security research, or cyber investigations. Responsibilities include automating threat tracking and analysis, modeling the threat landscape in the company’s Threat Intelligence Platform, conducting OSINT, delivering intelligence briefs to technical and executive stakeholders, and responsibly applying generative AI. Annual base salary range: $180,370–$212,200 USD.

CircleCI seeks a Staff Software Engineer to own full‑stack domains (Go backend, React/TypeScript frontend), design cross‑system architecture, build AI‑native interfaces for CI/CD, and drive observability and mentoring at scale. The role requires 8+ years of production full‑stack experience and emphasizes technical strategy, system design, and partnership with Product. The posting includes published base pay ranges for Canada, the United Kingdom, and multiple US geographies.

NVIDIA seeks a Senior Software Engineer to develop accelerated PyTorch-based solutions for large-scale machine learning (including GNNs, Tabular Foundation Models, and ensemble models) and to optimize training and inference on GPU infrastructure. The role requires experience with PyTorch, CUDA/GPU acceleration, C++, distributed training, profiling, scaling and orchestration, and includes customer engagement, mentorship, and cross-team technical leadership.

Technical lead responsible for AI-powered full-stack applications: design high-level architecture, build scalable Python services (FastAPI/Flask/Django), develop interactive frontends (React/Vue/Angular with TypeScript), and implement LLM integrations (RAG, LangChain, LlamaIndex). Requires 7+ years software development experience (2+ years in technical leadership), experience with APIs (REST/GraphQL), vector and relational databases, CI/CD, containerization, and strong communication and mentoring skills. Position is 100% remote.

Lead technical direction for AI-powered full-stack applications, designing scalable Python services and interactive frontends (React/Vue/Angular), architecting data pipelines and LLM/agent workflows, and mentoring engineering teams. Remote position based in Brazil; requires 7+ years of software development experience with leadership experience and hands-on AI/LLM expertise (RAG, LangChain/LlamaIndex).