Role entails training, developing, and deploying generative AI models using NVIDIA's AI stack; extracting model graphs from PyTorch, developing inference optimization techniques (sharding, efficient kernels, quantization, sparsity), and profiling GPU performance. Requires a Masters/PhD or equivalent experience, 8+ years in deep learning, strong software design and proficiency in Python, PyTorch, and GPU/kernel tooling.

Own the architecture of the static analysis program model and the pipeline that turns source code into findings, set technical direction for AI-assisted tooling and agent safety/guardrails, and measure detection quality against benchmark applications. Works across Rust, Go, and Ruby, leads high-scope initiatives from design through delivery, mentors engineers, participates in on-call rotations, and stays current with program analysis and security research.

Design, develop, and maintain intelligent automation solutions using UiPath and Microsoft Power Automate; integrate AI/ML models (UiPath AI Center, Microsoft AI) and build automation scripts in Python/PowerShell. Requires 3+ years experience, familiarity with CI/CD/DevOps and Agile/Scrum, and a bachelor's degree or equivalent experience.

Coforge is hiring an Intelligent Automation Engineer (remote, Colombia) to design, develop, and maintain automation solutions using UiPath and Microsoft Power Automate. The role involves building intelligent automation workflows leveraging Agentic AI, scripting in Python/PowerShell, integrating ML models (UiPath AI Center, Azure AI/Power Platform), collaborating in Agile/Scrum teams, and contributing to CI/CD and DevOps practices. Minimum 3 years’ experience and demonstrated skills with UiPath or Power Automate and AI-driven automation are required.

The role involves designing, developing, and maintaining intelligent automation workflows using UiPath and Microsoft Power Automate, leveraging Agentic AI and integrating ML models (UiPath AI Center, Azure AI). Responsibilities include scripting (Python/PowerShell), process analysis, CI/CD and DevOps support, testing and optimization, and collaborating within Agile/Scrum teams. Bachelor’s degree or equivalent experience and 3+ years of relevant experience required.

The GTM AI Engineer will design, deploy, and monitor AI-powered automations and integrations across GTM tools (CRM, marketing, sales engagement) to improve deal velocity and operational hygiene. The role requires collaboration with Sales, Accounts, and Marketing, hands-on experience with webhooks/APIs and iPaaS tools, SQL-driven analytics, and at least 2 years in GTM systems or revenue operations.

Lead design and delivery of production ML systems for Coinbase's customer engagement ecosystem, applying LLMs, deep learning, graph neural networks and classical ML. Responsibilities include architecture through production, building evaluation pipelines and data workflows, mentoring engineers, and driving standards for reliability, observability, testing, and responsible AI. Requires 8+ years of ML and software engineering experience and strong Python skills.

Lead the Intelligent Foundations and Experiences team to design, build, deploy, and govern large-scale AI systems (foundation model training, LLM inference, similarity search, observability, Responsible AI). Requirements include advanced AI/ML engineering experience, cloud deployment experience, and people leadership; Capital One may sponsor employment authorization.

Coinbase is hiring a Forward Deployed Engineer Intern for a 12-week summer 2027 internship on the HR Technology team. The role owns a scoped project end-to-end—defining problems with HR stakeholders, designing and building production-ready applications, API integrations, and AI-powered workflows, and measuring impact. Candidates should be pursuing a technical degree or have equivalent hands-on experience and have demonstrated ability to build, test, and ship software and AI prototypes. Target hourly rate: $50/hour.

Hands-on role responsible for designing, developing, and deploying production AI agents and related platform capabilities for the Legal team. Work includes prototyping, model integration, evaluation and optimization, workflow redesign, and cross-functional collaboration with Legal, Enterprise AI, Data, Security, and Engineering. US base salary range $160,000–$250,000/year.

Point is hiring an Engineering Manager / Technical Lead Manager to define technical strategy and own the roadmap for AI-powered voice, email, chat, and SMS agents. Role requires hands-on coding, building reliable agent architectures, driving observability, and leading a small senior engineering team; remote within specified US states. Minimum 7 years software engineering experience with at least 2 years managing teams and experience shipping LLM-powered or conversational AI systems.

Lead a small, senior engineering team building production LLM-powered conversational agents (voice, email, chat, SMS). Responsibilities include defining AI technical strategy, owning the AI agent roadmap, hands-on coding, architecture and reliability for agent stacks, observability, and partnering with Product, CX, and Ops. Requires 7+ years software engineering experience with at least 2 years managing teams and proven experience shipping LLM/agentic conversational systems. Posted salary range (San Francisco Bay Area): $234,650 - $259,350/year.

iFIT is hiring a Junior AI Engineer (remote, US) to design, build, and maintain AI-powered tools, automations, and integrations that improve Commercial team productivity. The role involves configuring and optimizing Salesforce and other business applications, supporting APIs and low-code automation, building dashboards and reports, evaluating emerging AI tools/LLMs, and documenting solutions. Preferred experience is 1–3 years with Python, JavaScript, SQL, CRM experience, and familiarity with modern AI tools.

NVIDIA is hiring a Solutions Architect (Data Science) based in Australia (remote) to engage with enterprise customers and partners, design scalable GenAI architectures, run proofs-of-concept and demos, and enable adoption of NVIDIA platforms (including Nemo/NIMs). The role requires deep expertise in generative AI, LLMs, RAG, GPU/parallel computing, ML/DL frameworks, Kubernetes/container orchestration, Python, and presales/customer-facing experience (5+ years). Responsibilities include technical leadership, partner enablement, documentation/training, and cross-functional collaboration with APAC/HQ teams.

Twilio is hiring a Staff Machine Learning Engineer (remote, India) to lead research and build production-grade ML systems powering conversation memory, LLM orchestration, retrieval strategies, personalization, and real-time inference at scale. Requires 8+ years applied ML/AI experience, strong Python proficiency, cloud experience (AWS/GCP/Azure), and experience with transformer models and experiment design.

Twilio seeks a Principal Machine Learning Engineer for the Customer Memory Team (remote, India). The role requires 10+ years applied ML/AI experience, strong Python skills, experience building cloud-based services on AWS/GCP/Azure, and deep expertise in production ML systems including LLM orchestration, embedding models, and vector stores. Occasional travel may be required.

Twilio is hiring a Machine Learning Engineer III on a remote basis in India (specific states listed). The role focuses on designing, researching, and building production-grade ML/AI capabilities including LLM orchestration, retrieval strategies, embedding models, vector stores, and real-time inference at scale. Requires 5+ years applied ML/AI experience, strong Python skills, experience with cloud services (AWS/GCP/Azure), and expertise in deploying production ML systems. Occasional travel may be required.

Individual-contributor role within Customer Success to architect and scale Kimchi adoption: hands-on setup of Studio workspaces, demos, serverless inference integrations, model/routing optimization, governance and budgeting policies, and translating customer feedback into product improvements. Company does not provide visa sponsorship.

Senior technical leadership role contributing to the open-source Dynamo projects and driving technology direction for data center-scale AI inference. Requires 18+ years in systems software engineering, deep expertise in AI inference and production inference systems, proficiency in Rust/Python/Go, and experience with cloud platforms (AWS/GCP/Azure). Responsibilities include improving performance, scalability, resiliency, and collaborating across storage, networking, hardware and performance teams.

Responsible for defining reference architectures and governance for AI-first capabilities (LLM orchestration, RAG, agentic workflows), designing secure scalable AI solutions and integrations across Finance, HR, Operations, and Customer Success. Requires 8+ years in software/platform architecture and 4+ years deploying production-scale AI systems with hands-on experience in Python, SQL, cloud platforms, containerization, MLOps/LLMOps, and data platforms such as Databricks and Snowflake.