CrowdStrike seeks a Senior Software Engineer to design, develop and optimize scalable software and data pipelines for Generative AI and LLM applications. The role involves translating models into production-ready systems, collaborating with data scientists and engineers, improving performance and security of AI systems, and working with cloud technologies (AWS, Docker, Kubernetes). Required: bachelor's in CS or STEM, experience with big data and microservices, and proficiency in at least one of Go, Rust or Python.

Flexera is hiring a Principal Machine Learning Engineer based in Bangalore to lead development and deployment of ML/GenAI/Agentic-AI solutions in a cloud-native SaaS environment. The role involves end-to-end model development, driving MLOps best practices, integrating LLMs and agentic frameworks into products, and collaborating with cross-functional teams. Requires a BTech/Masters/PhD in a related field and 10+ years of experience with ML/AI, strong Python and ML framework experience, and familiarity with AWS and Terraform; Databricks and Spark are preferred.

Fleetio is hiring a Senior Software Engineer for the Actionable Intelligence team to design, build, and iterate on AI-powered product experiences across Rails and React. The role requires 5+ years of Ruby on Rails and 5+ years of React/TypeScript experience, and involves front-end development (Vite, Storybook, Tailwind), backend Rails APIs, AI integrations (LLM APIs, prompts, evaluations), observability, and collaboration with Product, Design, Data, and Customer Success.

The Home Depot is hiring a Senior Data Scientist for pricing who will design and develop optimization and deep learning solutions to drive profitability and customer experience. Responsibilities include building algorithms and models on large datasets, leading data science projects, mentoring junior staff, collaborating with business partners, and presenting recommendations to leadership. Remote virtual employment available in many U.S. states. Minimum 5 years' experience; preferred 6+ years in business intelligence/analytics and familiarity with linear optimization tools (Gurobi), Python, SQL, forecasting, and predictive modeling. Travel typically <10%.

Design and build performance analysis tools and workflows for AI training and inference; integrate profiling infrastructure with AI frameworks; collaborate with performance engineers, hardware architects, and software teams; identify and automate detection/diagnosis of performance bottlenecks. Requires M.S./PhD or equivalent, 6+ years relevant experience, strong software development skills (Python, C++), and deep knowledge of AI workloads and frameworks. Base salary range listed (USD).

Role focused on offensive AI security: designing and executing red team assessments, innovating AI attack techniques, building scalable security tooling and automated evaluation pipelines, and partnering across AI Research, Engineering, Ethics, and Cybersecurity. Requires extensive hands-on experience securing AI/ML systems (including LLM vulnerabilities) and strong Python proficiency.

Hiring a Lead Data Engineer based in Peru (remote). Requires 8+ years in data engineering, strong experience building scalable data platforms and pipelines using Python, AWS, Snowflake, DBT, Airflow, Docker and Infrastructure as Code (Terraform). Role includes implementing AI/LLM solutions (RAG, LangChain, vector DBs) and collaborating in Agile teams; mentoring and technical leadership expected.

NVIDIA seeks a senior deep learning/CUDA engineer to design and implement CUDA features, runtime abstractions and tooling for scaling AI and HPC workloads across multi-GPU and multi-node systems. Requires 8+ years' experience, strong C++/Python/CUDA skills, familiarity with PyTorch/JAX/inference engines, performance benchmarking and distributed communication libraries (NCCL, MPI, UCX).

Role to research, prototype, and optimize deep learning systems at the intersection of high-level frameworks and low-level CUDA, including custom kernel development, distributed cluster-scale design, and profiling. Requires a BS/MS/PhD (or equivalent), 8+ years relevant experience, and proven skills in C++, Python, CUDA, kernel optimization, distributed computing, and deep learning (transformers). Base salary ranges provided (USD, annual).

CrowdStrike is hiring a Senior Automation / Cloud Software Engineer for the Falcon Complete AI Engineering Team. The role focuses on designing, building, and deploying distributed, fault-tolerant cloud ecosystems and AI-powered automation services (LLMs, prompt engineering, agentic frameworks). Responsibilities include backend microservices, data pipelines, CI/CD and GitOps for Kubernetes, and collaboration with SOC analysts. Base salary range for U.S. candidates: $140,000–$215,000 per year.

Applied agent engineering role focused on building tool-using AI systems (agents) into existing workflows. Responsibilities include designing and implementing agent infrastructure (MCP servers, stateful sub-agents, skills), integrating with systems like Slack, Jira, Salesforce, Okta, Workday, Google Workspace and AWS, setting safety and access standards, instrumentation, and collaborating with HR, Sales, Customer Success, and other functions. Requires 7+ years of engineering experience and experience shipping production systems at scale.

Join Augury as an AI Applied Scientist to own the algorithm lifecycle for industrial sensor and multimodal data. The role requires 5+ years in ML (time-series, embeddings, transformers) and 2+ years working with LLMs/agentic applications, and involves research, prototyping, and deploying production-ready models using Python and cloud big-data platforms.

Seeking an M.Sc./Ph.D.-level AI/ML Applied Researcher with 4+ years' experience to research, prototype, and deliver production ML models using time-series, textual, and image data. Responsibilities include end-to-end algorithm lifecycle, ensemble multi-modal approaches (Transformers, GNNs, CNNs), working with ML infrastructure (Metaflow, Databricks, MLFlow, Vertex AI, SageMaker), and collaborating with product and customers. Hybrid role requiring office presence at least twice weekly, including one day in Haifa.

Udacity (an Accenture company) seeks external contractors to serve as technical mentors for Agentic AI content. Responsibilities include 1:1 video support, technical deep-dive sessions, and group Q&A. Requires 5+ years technical experience and hands-on knowledge of LLMs, prompt engineering, agent design (tooling, APIs, memory/state), RAG, multi-agent systems, and agent evaluation.

Lead development of NOC performance and functional models using AI technologies, define features for GPU memory and interconnect subsystems, analyze benchmarks and simulation/emulation results to identify optimizations, and collaborate with engineering teams. Requires Bachelor's or equivalent, 15+ years relevant experience, strong performance modeling and large-scale software development experience, proficiency in C/C++ and Python, and deep GPU architecture and memory/interconnect expertise.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

Join GitHub's chat integrations team to design and build chat apps that integrate Copilot and AI features into Slack and Microsoft Teams. Responsibilities include building scalable web services, writing and reviewing code (JavaScript/React/TypeScript, Ruby/Rails, Go), authoring architecture proposals, and providing technical leadership and mentorship. The role is remote (United Kingdom) and lists 6+ years of software engineering experience as a required qualification.

Join NVIDIA's DGX Cloud Lepton team to design, build, and maintain scalable AI infrastructure and tooling for large-scale training, inference, fine-tuning, and Agentic AI. Requires 8+ years building software infrastructure for large-scale AI systems, strong debugging and root-cause analysis skills, experience with distributed systems, Kubernetes, observability (e.g., ELK, Prometheus, Loki), and proficiency in Python and C/C++.

Lead technical authority in a Commercial AI Center of Excellence to design and evolve shared AI services, agentic frameworks, and paved-road patterns. Requires 15+ years in AI/ML software engineering, deep expertise in distributed/cloud-native systems, hands-on production LLM and RAG experience, and strong Azure/cloud platform knowledge; responsible for architecture, standards, performance/cost optimization, and cross-team technical influence in regulated SaaS environments.

Serve as the technical authority for AI quality and risk controls within the Commercial AI CoE: design and implement AI evaluation frameworks (gold datasets, regression testing, CI gates), lead model validation, telemetry, and drift detection, and partner with Legal, Security, and Risk to translate policy into technical controls. Requires 15+ years of AI/ML engineering experience.