Docker Jobs

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.

pika

Pika is building the next generation of AI creative tools to make video creation seamless, intuitive, and accessible to everyone. We are seeking a Principal Product Engineer to lead the technical vision, architecture, and roadmap for user-facing systems. In this high-impact role, you will guide the engineering direction for features serving millions of creative users, from intuitive UIs and collaboration tools to real-time interactions and advanced generative AI experiences. You will work closely with product, design, and engineering leadership to deliver robust, scalable, and delightful features, influencing both immediate user experience and long-term product vision from conception to launch and iteration.

ASAPP is seeking an enterprising, talented, and curious Machine Learning Engineer to join their AI Engineering team. This role will focus on building and evaluating the core intelligence behind agentic AI systems, playing a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems. The Lead Machine Learning Engineer will own and grow the evaluation platform that measures quality, safety, and performance across ASAPP's agentic AI systems, ensuring confidence in model and agent changes before they reach customers.

$170k - $190k

Code Metal is seeking a Staff Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive a next-generation wargaming and decision-support platform. You will design backend services and APIs, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with AI and machine learning pipelines, designing scenario-generation and analysis workflows, and building distributed, cloud-scale infrastructure to support simulations across various environments while ensuring reproducibility and model provenance. Strong command of cloud services and distributed architectures is essential.

$200k - $250k

Code Metal is seeking a Principal Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive the core wargaming simulation for a next-generation decision-support platform. You will design backend services and APIs that interface with the frontend, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with agentic AI and machine learning pipelines, designing scenario-generation and campaign-evaluation workflows, and building distributed, cloud-scale infrastructure for running simulations. Strong command of cloud services and distributed architectures is essential.

$250k - $290k

As a Forward Deployed Engineer (FDE) on our Public Sector team, you will be embedded with U.S. Department of Defense, Intelligence Community, and Aerospace clients. Your role will involve designing and deploying bespoke AI solutions to drive mission-critical outcomes and architecting the backbone of a planet-scale platform that ships hundreds of features daily with rock-solid reliability and security. This position demands a builder's mindset, an AI-first approach, and the technical depth to take complex challenges from concept to production.

$149k - $365k

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

NVIDIA is seeking a Principal Engineer to define and build core agentic identity capabilities that enable trusted AI agents across the company's internal ecosystem. This hands-on role involves translating complex problems into practical designs, prototyping solutions, and collaborating across identity, security, platform, and application teams to bring infrastructure into production. The goal is to evolve identity and security controls, originally designed for human users, to safely and reliably support non-human and agent-driven workflows as AI agents access tools, call APIs, and perform multi-step operations.

$240k - $380k

Parallel Wireless is seeking a hands-on technical leader to build and operate a secure local large-language-model (LLM) platform. This platform will enable engineering and business teams to leverage generative AI with proprietary company data, including source code, product documentation, and technical standards, all within a secure, company-controlled environment. This senior individual contributor role involves applied LLM engineering, platform architecture, data pipelines, security, and production operations. You will transform prototypes into a dependable internal capability by selecting and optimizing open-weight models, building permission-aware retrieval systems, creating reusable APIs and tools, integrating with existing workflows, and establishing metrics for quality, safety, latency, capacity, and business value. The role emphasizes building a trustworthy enterprise LLM solution that includes robust source grounding, access controls, repeatable evaluation, observable services, and a sustainable operating model.

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, focusing on profiling, applying modern optimization techniques, and deep dives into serving code to enhance speed, reduce cost, and improve reliability. The work is hands-on, involving coding, profiling, and low-level optimization, with a customer-facing component to tailor deployments to specific needs and ensure performance gains are realized in real-world scenarios. You will transition workloads from proof-of-concept to fully monitored production services, making this a core systems and performance engineering role on demanding AI workloads.

$215k - $260k

OpenAI

We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. Our team builds infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. We focus on turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. This role is backend-focused, and you will build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel, primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You will own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers.

$255k - $445k

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

Labelbox is seeking a Forward Deployed Engineer to design, develop, and operationalize reinforcement learning (RL) environments. This role involves building sandboxed, reproducible execution environments for AI agents during training and evaluation, such as terminal-based task benchmarks, browser environments, and tool-augmented workspaces. You will write production-quality infrastructure code, integrate with open-source RL tooling, and collaborate with the data operations team to ensure environments are robust and observable. While not a research role, a deep understanding of how RL training loops consume environments and identify bottlenecks is essential.

$140k - $200k