MLOps Jobs

80 open roles mentioning MLOps

AI engineer

1mo ago
W

Writer

As an AI engineer at WRITER, you will be instrumental in shaping how enterprises leverage superintelligence. This role involves building tangible AI solutions that power the future of work for leading global companies. Your contributions will directly influence the performance, scalability, and ethical alignment of our advanced LLMs and AI agents, enabling businesses to achieve unprecedented productivity and innovation through AI grounded in their data.

$198k - $259k

San Francisco, CA hybrid FullTime
AWSAzureGoogle Cloud +10 more

Senior Staff Applied AI Inference Engineer

1mo ago
c

crusoe

Crusoe is seeking a Senior Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing AI infrastructure. This role focuses on making large language models run faster, cheaper, and more reliably in production by owning the inference stack end-to-end. You will be responsible for profiling performance, implementing modern optimization techniques, and diving deep into serving code. The work is applied, directly impacting customer deployments, and involves tailoring solutions to specific models, traffic patterns, latency targets, and cost constraints. You will collaborate with customer engineering teams, guide workloads from proof of concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering role requiring coding, profiling, and low-level optimization, with a customer-facing component and elements of product and technical solutions work.

$250k - $300k

San Francisco, CA - US remote FullTime
DockerKubernetesPython +9 more

AI Native Software Engineering Specialist

1mo ago
Accenture

Accenture

You will be responsible for building production-grade agentic AI systems that operate within enterprise environments, moving beyond demos and prototypes to deliver real-world solutions. This role involves designing, building, and deploying these systems across the full enterprise technology stack, working directly with client engineering teams. You will lead technical design sessions and develop reusable patterns and accelerators to ensure scalability. This position offers broad exposure to various industries, technology stacks, and organizational complexities, along with unique access to engineering teams at leading AI companies and a direct path to specialized programs.

€29k - €55k

Roma remote
OpenAIAnthropicLangGraph +9 more

Senior AI Native Engineer

1mo ago
Accenture

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The focus is on shipping multi-agent systems in production, owning the evaluation harness, and understanding system failures in real-time enterprise environments. You will architect and govern production-grade agentic systems at enterprise scale, defining standards for RAG pipelines, multi-LLM integration, and LLMOps. This position offers broad exposure across industries and technology stacks, with opportunities for vendor fellowship access and a direct pathway to advanced engineering programs.

Paris remote
OpenAIAnthropicLangGraph +10 more

AI Native Engineer

1mo ago
Accenture

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The focus is on shipping production agentic architectures, owning evaluation harnesses, and understanding the operational aspects of AI systems in real-world enterprise environments.

Paris remote
OpenAIAnthropicLangGraph +9 more

Senior Software Engineer - Data Engine

1mo ago
A

Applied Intuition

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

Sunnyvale onsite FullTime
DockerKubernetesPython +10 more

Software Engineer - Data Pipeline

1mo ago
A

Applied Intuition

Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.

$200k - $275k

Sunnyvale onsite FullTime
DockerKubernetesPython +8 more

Director of Engineering, Artificial Intelligence (AI)

1mo ago
E

Egen

Egen is seeking a high-impact Director of Engineering to lead a vital span of their AI Practice during a period of explosive growth. This is a dynamic player-coach role for a strategic engineering leader who excels at cultivating managerial talent and developing high-performing teams while staying directly engaged in transformative client delivery. The AI Practice comprises top-tier engineers delivering cutting-edge AI and machine learning solutions for global enterprise clients. As the first dedicated engineering leader in this role, you will take full ownership of a team, shaping team structure, staffing engagements, and fostering professional growth. You will also partner with practice leadership to refine operational frameworks for hiring, onboarding, and engineering enablement. Approximately 50% of your role will be billable client engagement, positioning you as a high-value fractional advisor and platform leader across critical technical domains.

$218k - $265k

Remote remote Full Time
Google CloudMLOpsAI +6 more

Senior Applied ML Engineer - ML4Sys

1mo ago
Databricks

Databricks

As a Senior Applied ML Engineer on the Applied AI team, you will leverage machine learning, scheduling, and optimization algorithms to enhance the efficiency and performance of Databricks' infrastructure. Your responsibilities will encompass the full technology stack, from cluster management to query compilation, tackling complex, high-impact engineering challenges to deliver optimized and cost-effective workloads for customers. This role is crucial for accelerating serverless growth, building end-to-end ML4Sys solutions, shaping applied ML strategy, and driving the deployment of state-of-the-art models.

$166k - $210k

San Francisco, California remote
PythonJavaModel Serving +8 more

AI Engineer Intern

1mo ago
E

Eudia

Eudia is seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join their growing team. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.

Palo Alto, CA onsite
LLMRAGFine-Tuning +5 more

Pre-training Data Infrastructure Engineer

1mo ago
Anthropic

Anthropic

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

$500k - $850k

San Francisco, CA hybrid
AnthropicPythonRust +4 more

Senior AI Full Stack Developer (Python & React)

1mo ago
Accenture

Accenture

Accenture Industry X is seeking a Senior AI Full Stack Developer with expertise in Python and React/TypeScript to design, build, and deploy production-grade AI applications. You will work across the complete technology stack, from Python backend services and AI orchestration layers to responsive React-based user experiences. This role involves hands-on work with Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), APIs, cloud platforms, and modern DevOps practices, transforming AI concepts into scalable, observable, and production-ready solutions within fast-moving, cross-functional teams.

Cluj-Napoca remote
OpenAILangGraphLangChain +39 more

Technical Lead, Artificial Intelligence

1mo ago
P

Parallel Wireless

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges. This role is for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. It is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks.

Kfar Saba onsite Full Time
PythonLLMRAG +9 more

AI Engineering Team Manager

1mo ago
P

Parallel Wireless

Parallel Wireless is seeking an AI Engineering Team Manager to lead its AI team and drive its technical direction, roadmap, and execution. This role involves leading AI/ML initiatives from concept to production, defining success metrics, and ensuring AI solutions deliver measurable impact. The manager will also lead architecture and technical decisions for AI models, platforms, tools, and data, while building and growing a strong, multidisciplinary team through recruitment, mentoring, and career development. Establishing robust engineering practices for evaluation, scalability, reliability, monitoring, and model lifecycle management is key, as is close collaboration with Product Management, Systems Engineering, and R&D teams across different geographies. The role also includes partnering with domain experts to identify AI opportunities for network improvement and supporting customer-facing discussions and trials.

Kfar Saba remote Full Time
PythonLLMRAG +4 more

Staff Engineer, Machine Learning Systems & Reliability - Moveworks

1mo ago
M

Moveworks

We are seeking a Staff Engineer to build and maintain the production systems that power our AI-enabled product capabilities. This role bridges ML systems, platform engineering, and site reliability engineering, focusing on moving machine-learning models and agentic workflows from prototypes to secure, observable, and continuously deployable production systems. You will partner with various teams to create a streamlined path from experimentation to production and ensure the ongoing performance and evolution of these systems.

Mountain View, CALIFORNIA, United States remote Full-time
KubernetesPythonGo +8 more

Member of Technical Staff (Applied AI Engineer, Agent Capabilities)

1mo ago
P

Perplexity AI

The Agent Capabilities team at Perplexity Computer is at the forefront of agentic AI, bridging frontier AI research with product innovation. This team builds the foundational capabilities that empower users and agents to tackle increasingly complex tasks. They are responsible for translating cutting-edge AI model breakthroughs into reusable product features, evaluating emerging model capabilities, identifying user value, and transforming these into reliable, scalable, high-quality experiences. This role offers broad ownership at the intersection of AI research, agent systems, platform engineering, and product innovation.

$220k - $405k

San Francisco remote FullTime
AWSPythonTypeScript +8 more

Engagement Tech Lead, Agentic AI

1mo ago
n

nvidia

NVIDIA is seeking a highly technical Engagement Lead to drive the integration of Generative and Agentic AI software with enterprise ISV partners. In this role, you will serve as a trusted advisor to Software Platform Architects and unite teams behind a unified technical vision. You will remain hands-on, designing and shipping production agentic systems for demanding workloads while accelerating the adoption of NVIDIA's stack across key business initiatives. This position requires versatility at the intersection of platform strategy, a strong AI/ML background with hands-on execution, and the communication skills to engage with senior leaders. It's a high-impact role offering broad skill development and exposure to the cutting edge of Agentic AI, with insights directly shaping NVIDIA's product development.

$224k - $431k

US, CA, Santa Clara remote
LangChainDockerKubernetes +10 more

Senior Deep Learning Software Infrastructure Engineer

1mo ago
n

nvidia

NVIDIA is seeking a Deep Learning Software Infrastructure Engineer to advance its Autonomous Vehicles project. In this role, you will be responsible for building and scaling the training libraries and infrastructure necessary for end-to-end autonomous driving models. By enabling training on thousands of GPUs and massive datasets, you will significantly accelerate iteration speed and enhance safety, working collaboratively with research and platform teams across NVIDIA.

$224k - $431k

US, CA, Remote remote
KubernetesPythonPyTorch +7 more

AI Platform Support Engineer (US)

1mo ago
L

Lightning AI

Lightning AI is seeking an AI Platform Support Engineer to join their US Customer Experience team. This role is designed for individuals who are technical partners to ML teams, helping them diagnose and resolve complex issues related to large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms. You will be instrumental in supporting engineers as they train models, deploy inference systems, and scale GPU workloads in production, tackling problems ranging from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking, and storage performance. This position offers exposure to diverse AI workloads and the opportunity to shape the infrastructure powering future ML applications.

$115k - $140k

New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States hybrid
KubernetesPythonPyTorch +5 more

NCX Senior Engineer

1mo ago
n

nvidia

NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities and directly influence customer success with breakthrough AI initiatives.

$184k - $357k

US, CA, Santa Clara hybrid
KubernetesPythonGo +33 more

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