SecurityScorecard is hiring a Principal AI Architect to lead system design for agentic/LLM-powered features—owning orchestration, state and memory, tool boundaries, reliability, and standards. The role is an IC reporting to the Chief Architect, requires 10+ years of software engineering experience, hands-on experience building production agentic/LLM systems, and strong distributed-systems expertise. Hybrid work from Midtown NYC or Downtown Austin (onsite 1–2 days/week if within 75 miles); immigration sponsorship is not provided.

Sticker Mule seeks an engineer to identify opportunities for autonomous AI agents, build and operate those agents, integrate them with internal and external tools, measure impact and retire ineffective agents, and test new models/tools. Requires experience building autonomous agents, familiarity with Grok, Claude, OpenAI and open-source models, and proficiency in Go, TypeScript, GraphQL, Postgres, and GCP. Fully remote. Salary $150,000–$250,000 USD.

Cloudera is hiring a mid-senior Forward Deployed AI Engineer (Japan-Remote) to prototype and ship full-stack AI and agentic applications, partner directly with strategic customers to move use cases toward production, shape enterprise AI strategy, and codify repeatable solution patterns. Requires 5+ years building and deploying production systems and 2–3 years building generative AI or agentic applications; experience across foundation models, RAG, LLMOps/MLOps, model serving, and enterprise architectures is emphasized.

Work on CUDA Tile (shipped with CUDA 13.1) designing and implementing compiler transformations, MLIR-based dialects and lowering passes, optimizing tile-based kernels across NVIDIA GPU architectures, defining public APIs, and performing performance analysis and general software engineering. Requires 3+ years relevant experience and strong C/C++ skills.

Lead research and development of next-generation formal verification engines and multi-agent AI systems to scale hardware verification (model checking, SAT/SMT, BDDs, theorem proving). Requires 15+ years in commercial/advanced academic EDA tool development, expert Modern C++ skills, deep formal-methods knowledge, and experience with LLMs/multi-agent AI frameworks and RTL/SVA.

Hands-on Staff AI Engineer role within the Data & Intelligence function focused on building semantic retrieval, knowledge graph and inference layers over an Iceberg lakehouse, enabling agentic workflows and production durable workflows. Requires shipping production AI/ML systems, working with Python, SQL/dbt, distributed query engines, vector search/embeddings, observability, and cloud deployment (AWS preferred).

Hands-on senior engineering role responsible for designing, building, and shipping production AI systems: fast semantic and graph retrieval, inference and signal layers over an Iceberg lakehouse, agentic workflows (tool-calling, state, human-in-the-loop), and observability/evaluation. Requires working with Python, SQL/dbt, distributed query engines, vector search/embeddings, agent frameworks (Temporal, LangGraph), and cloud/container deployments (AWS).

Join GitLab's Trusted Agentic Development team to own the architecture and prototypes that close the validation gap for AI agent–authored code. Design mid-loop feedback, build language-aware validation approaches (starting with Rust, Ruby, and Go), collaborate across teams, and measure adoption and trust in an all-remote environment. Poland base salary range provided.

Hands-on technical lead responsible for designing benchmark datasets, building judges and evaluation harnesses, running standing scorecards, investigating failures, and publishing results. Role includes leading and mentoring researchers and engineers, coordinating expert labeling, defining evaluation methodology and collaborating with engineering, product and threat research teams.

Lead inference strategy and technical collaborations with AI labs and enterprises across EMEA. Drive scalable production deployments and optimizations for LLM/VLM inference (latency, cost per token, memory, networking). Architect high-performance inference pipelines using NVIDIA stack (Dynamo, TensorRT-LLM, NIM), vLLM, SGLang and other backends, and translate deployment insights into product feedback. Requires MS/PhD or equivalent and 8+ years in AI/ML infrastructure.

Paid internship for students in quantitative fields to work with engineers, designers, and executives on problems at the intersection of math and applied AI (agent reasoning, systems optimization, developer tooling). Candidates must be currently enrolled in a Bachelor's, Master's, or PhD program with at least one semester remaining and demonstrate strong mathematical ability (e.g., IMO/IOI) or advanced quantitative work.

Sardine seeks a Senior Applied AI Research Scientist to design and execute foundation-model research and take models from pretraining through fine-tuning and production deployment for fraud and risk use cases. Requires 4+ years in applied ML or ML engineering, hands-on self-supervised pretraining and production experience with model serving, strong Python and SQL skills, and experience working with large-scale datasets. Remote role for candidates based in the United States or Canada.

Lead technical direction for synthetic dataset generation across text, code, structured, and multimodal data within NVIDIA NeMo. Build and scale LLM-based data pipelines, advance multimodal and privacy-preserving synthesis, develop open-source SDKs, publish research, and mentor team members. Requires PhD or equivalent and 15+ years of relevant engineering and research experience. Salary range: 272,000–431,250 USD/year.

Join as a founding product engineer at an early-stage, VC-backed B2B SaaS startup focused on an AI-native financial system. Responsibilities include end-to-end ownership of product problems, building full-stack solutions (frontend, backend, AI, data), developing AI agents for invoicing/payroll/reporting, and integrating with platforms like QuickBooks, Plaid, and Stripe. Role requires 3+ years of professional software engineering experience and experience with technologies such as React, TypeScript, Python, FastAPI, and PostgreSQL. The company is headquartered in New York and the role is advertised with 100% remote work.

Remote staff full-stack product engineer role at Thunderbird/Thunderbolt focused on building full-stack features, integrations, and customer-specific customizations for enterprise AI deployments. Requires 10+ years of software engineering experience, strong TypeScript/JavaScript and backend/API skills, experience with AI-enabled applications (LLMs, RAG, agents), and familiarity with enterprise deployment concerns (authentication, identity, self-hosted/hybrid infrastructure, observability). Role includes hands-on coding, supporting partner- and customer-hosted pilots and productions, and writing documentation and runbooks.

The role focuses on delivering production-grade generative AI solutions: integrating LLMs, building RAG pipelines with vector databases, prompt engineering, model integration via APIs, monitoring, and CI/CD for ML lifecycle. Preferred technologies include Python, Google Cloud/Vertex AI, BigQuery, vector DBs, GPU acceleration (CUDA/cuDNN), and front-end frameworks such as Node.js and React. Position typically allows remote work and notes a pay range of $100,000–$180,000 (annual) for specified US locations.

Lead design and delivery of production-ready AI agent applications for Vault Medical, including RAG architectures, prompt engineering, and data flow orchestration. Requires 7+ years in enterprise software product management or related roles, 2+ years hands-on AI/ML experience (LLMs), strong Python and AI framework experience, and ability to work with regulated medical and legal stakeholders. Candidates must be based in an Eastern Standard Time region and authorized to work in the USA or Canada.

Lead product design and delivery of production-ready AI Agent applications for Vault Medical. Responsibilities include prototyping, data flow orchestration, RAG architectures, prompt engineering, defining AI success metrics, and working cross-functionally with engineering, QA, UX, and stakeholders in regulated medical affairs workflows. Requires 7+ years relevant experience and 2+ years hands-on AI/ML experience.

Lead design and delivery of production-ready AI agent applications for Vault Medical, owning discovery, prototyping, specifications, and KPI tracking. Requires 7+ years in enterprise software product management/engineering/data science, 2+ years hands-on with LLMs/Generative AI, strong Python and AI-framework experience (e.g., LangChain, LlamaIndex), and domain familiarity with medical affairs and regulated content.

The Home Depot is hiring a Staff Software Engineer (AI) to lead and mentor engineers building production applications. Responsibilities include software design, testing, deployment, performance tuning, security, and production monitoring. Preferred experience includes frontend technologies (HTML/CSS/JavaScript/TypeScript), Java, relational and NoSQL databases, cloud computing, CI/CD, testing, security frameworks, debugging, and familiarity with AI-driven development. Minimum 3 years' relevant experience and legal authorization to work in the United States. For residents of certain US jurisdictions, the posted pay range is $120,000–$190,000 per year.