AI Engineer Jobs

Composio

This is an applied AI engineering role focused on building customer-facing AI solutions. You will work directly with customers to understand their recurring problems and develop agentic systems to automate those tasks. This involves debugging and shipping solutions when direct engineering is required, and transforming repeated issues into robust workflows, evaluations, tools, or product capabilities. The role offers a unique opportunity to work at the frontier of applied AI, designing systems that gather context, reason across different platforms, utilize tools, take bounded actions, verify outcomes, and communicate effectively. You will also be responsible for defining the necessary state, permissions, guardrails, evaluations, and escalation paths to ensure AI systems earn customer trust, and for implementing immediate feedback loops to continuously improve these systems based on real-world support cases.

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Fireworks is seeking a Member of Technical Staff for their EMEA field team. This role involves building on top of one of the world's largest inference platforms, spanning capabilities on inference and serving, tooling for fine-tuning and post-training of LLMs, and developing product features specific to the region. The ideal candidate is an excellent software engineer who prefers building product, with a strong emphasis on first principles thinking and the ability to reason about unfamiliar problems from the ground up. This is a flexible role designed for exceptional builders with 3 to 10 years of experience.

Salary not listed

Amplitude

Amplitude is seeking a Senior Customer Success Architect to join their EMEA Customer Success team in London. This pivotal role involves serving as the technical expert on complex and high-priority customer engagements, guiding them through implementation, adoption, and renewal phases. The ideal candidate is a curious, solution-oriented professional who thrives in a fast-paced environment and is dedicated to driving customer success. You will leverage your deep understanding of Amplitude's AI analytics platform to provide strategic consultation, ensure seamless integration into customer data flows, and act as a trusted technical advisor.

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OpenAI

As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how engineering organizations build software—not simply successful demonstrations or enablement activity.

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Decagon

Decagon is seeking a Research Engineer focused on Safety to ensure the reliability and controllability of their AI agents. This role involves identifying real-world failure modes and developing the necessary models, evaluations, and safeguards to prevent them. The ideal candidate will be a strong engineer passionate about advancing applied AI safety in production, with the ability to own projects end-to-end and make high-impact technical decisions.

$200k - $400k

Mercor is seeking a Software Engineer for their Applied AI - Frontier Engineering team to build, deploy, and operate systems that bridge frontier AI research and data delivery. This role involves high ownership and deep technical work, tackling ill-defined problems, prototyping with researchers and customers, and scaling systems from experiments to production. You will manage projects end-to-end, including requirements gathering, data creation pipelines, and improving model-adjacent infrastructure, while collaborating with AI labs and internal teams to deliver impactful applied AI solutions.

$160k - $500k

Anthropic

As an Applied AI Research Engineer, you will explore the capabilities of Anthropic's models and products, validate them with real customers, and empower the Applied AI team to effectively sell and deliver these solutions. You will work closely with product teams to gain deep expertise on emerging capabilities and act as a crucial feedback loop, relaying field insights back to Product and Research to ensure future development aligns with customer needs. This role involves a blend of research, field expertise, and bridging the gap between customers and product development teams. You will need strong technical skills to push the boundaries of AI models, excellent communication abilities to explain complex features to various audiences, and the insight to translate field learnings into product improvements.

$300k - $400k

Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better. This role is ideal for a highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership.

$160k - $246k

Swayable

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. The Director of AI will be a builder, researcher, developer, and thought-partner to the CEO and CTO, responsible for discovering, prototyping, and proving out high-value applications of cutting-edge AI across business operations, product, and fundamental research. This role offers a unique opportunity to leverage significant resources, including a large dataset of RCT survey experiment results, an established team of engineers and scientists, academic partnerships, and direct access to enterprise customers for rapid product development.

$175k - $250k

Crusoe

As a Forward-Deployed Engineer at Crusoe, you will embed with internal teams such as SRE, Finance, Sales, or People Ops to understand their operations and build software that directly enhances their workflows. Your focus will be on creating applications, automations, or agents that make their work faster, clearer, and more dependable, with success measured by user adoption and the time/effort saved. This is a new function within the company, offering a unique opportunity to help shape its direction and leverage modern capabilities like AI agents and write-back BI tools to deliver impactful solutions rapidly.

$215k - $260k

Cerebras

Cerebras Systems is seeking a hands-on SDET Technical Lead to establish and lead Release Integration Testing for AI Inference Core. This role is crucial for transforming integrated features into reliable production releases by defining the quality strategy across the entire release cycle, from feature integration to post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify and address release risks. This is a technical leadership position where you will design test architecture, lead debugging and release decisions, mentor engineers, and contribute to software and automation development.

Salary not listed

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract crucial signals for training frontier AI models. The company's mission is to empower Physical AI and robotics teams to instantly find, curate, and stream the data they need. As a Software Engineer on the Data Systems team, you will build key capabilities for a high-throughput data engine over petabytes of video, lidar, and telemetry data, working directly on the architecture for real-time indexing, distributed storage/compute, and efficient dataloading to GPUs. This role offers high ownership across the stack in an agile, fast-paced startup environment.

$150k - $200k

Lightning AI is seeking a Senior Application Security Engineer to safeguard their AI, machine learning, and inference platforms. This is a hands-on technical role focused on integrating security into modern AI infrastructure, inference systems, and developer platforms. You will collaborate with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and develop security tooling that empowers engineers to operate efficiently and securely. The role is execution-driven, involving technical implementation, in-depth security reviews, and contributing to the growth of application security capabilities.

$180k - $220k

Typeface

We help the world's biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Senior Full stack Engineer, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for strong full stack engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$160k - $200k

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

Join our technology consulting team as a Medior AI Engineer, specializing in generative AI development. You will work on innovative projects, applying large language models (LLMs) and generative AI in sectors like finance and energy, and accelerating internal workflows. This role offers the chance to learn from leading experts, fundamentally change business operations with technology, and gain exposure to diverse industries. You will be part of a dynamic GenAI Lab, with opportunities for rapid growth and competitive compensation in a challenging and dynamic work environment. You will engage with various business units and internal decision-makers to identify and implement new use cases, taking ownership of Proof of Concept (PoC) projects from planning to delivery, working closely with senior experts to ensure high-quality results and continuous professional development.

Salary not listed

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

As a Forward Deployed Engineer at Handshake AI Enterprise, you will embed directly within enterprise customer environments as part of a small, expert team. Your role will involve deeply understanding each customer's business, including their workflows and bottlenecks, to translate this knowledge into production-grade AI agents that measurably transform their operations. This is a full-stack ownership role, encompassing solution definition, agent building and deployment, evaluation design, and iterative performance improvement. You will develop into a genuine domain expert within your customer's vertical, leveraging this expertise to continuously enhance AI capabilities.

$155k - $170k

Artos

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

Faire leverages machine learning and data insights to revolutionize the wholesale industry, empowering local retailers to compete against larger players. Our Applied AI/ML Scientists develop algorithmic solutions for recommender systems, spend optimization, and lifetime value predictions. As a tech lead in this role, you will own the vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. You will work across structured and unstructured data using various ML methods and act as a lead across multiple cross-functional workstreams, mentoring other scientists.

$247k - $339k

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

$231k - $318k

Runway

We are seeking a curious and thoughtful Product Engineer to join our team and help build cutting-edge AI-powered video creation and collaboration tools. This role involves developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying generative models to production. You will work on a wide variety of exciting challenges in a fast-paced, high-ownership environment, collaborating with a world-class engineering team.

$240k - $290k

Ambral

Ambral Labs is building a platform to help enterprises leverage their historical data to improve AI model performance. The system reconstructs past company workflows into replayable environments, allowing for the evaluation and enhancement of agent behavior through reinforcement learning and other post-training techniques. This enables companies to develop better, more cost-efficient AI models that they own and control, rather than relying on third-party providers. Having graduated from YC and secured significant funding, Ambral Labs is now expanding its founding team.

$165k - $325k

Decagon

Decagon is seeking an AI Acceleration Engineer to build the core systems that power the company and integrate AI into every team's workflow. This hands-on technical role involves extending existing platforms, automating manual processes in areas like billing and collections, and replacing spreadsheet-based operations with robust systems. You will work directly with stakeholders across various departments to identify automation opportunities, design and implement solutions, and ensure their adoption and success. The role requires a strong generalist with a knack for engineering away manual processes and a deep understanding of when to apply AI versus deterministic pipelines.

$180k - $220k