AI Engineer Jobs

Tenstorrent is seeking a Field Application Engineer to act as a technical liaison between the company and its customers throughout Southeast Asia. Based in Singapore, this role involves understanding customer AI and machine learning workloads, guiding technical evaluations and deployments, and resolving hardware and software issues to ensure customers maximize the performance of Tenstorrent's AI platforms. This is a customer-facing position requiring hands-on technical problem-solving, solution development, and regional relationship management, with regular travel across Southeast Asia. The role is remote and based out of Singapore, and the company is open to candidates at various experience levels.

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Photoroom is seeking a Product ML Engineer to join one of its product experience teams. This role focuses on owning the machine learning aspects of short, high-impact projects with clear product outcomes. You will be responsible for the entire ML project lifecycle, from problem framing and approach selection to shipping, measuring, and iterating on features in production. The emphasis is on pragmatic, fast-paced development and delivering customer value, rather than pure research. You will work closely with product teams, leverage shared ML infrastructure, and stay connected to user feedback to drive product improvements.

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Parloa

As a Finance Systems Intern, you will contribute to the operation and enhancement of Parloa's quote-to-cash systems, which manage enterprise contracts. You will gain practical experience with systems like SAP Subscription Billing, NetSuite, and Salesforce, learning how signed agreements translate into accurate subscriptions and invoices. This full-time, 6-month internship in Berlin offers hands-on experience with a modern quote-to-cash technology stack within a rapidly growing AI company. You will have the opportunity to take a personal automation project from conception to completion, presenting your work at the end of the internship.

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D-ID is at the forefront of the agentic revolution, creating Natural User Interfaces (NUI) with hyper-realistic, interactive avatars for AI agents, assistants, and co-pilots. Our enterprise-grade streaming API enables human-like interactions, enhancing trust and redefining AI-powered communication. Since 2017, we've been backed by tier-1 VCs and have seen over 180 million videos created with our technology, with more than 280,000 developers building solutions using our API. We are seeking an exceptional Full Stack Developer to join our world-leading team in building high-impact products using state-of-the-art technology, working alongside talented and motivated individuals passionate about pushing the boundaries of AI.

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Nebius is building a novel search engine designed for AI systems, focusing on providing programmatic, low-latency, and observable search APIs. We are seeking a Staff Software Engineer to lead the development of content acquisition and crawling infrastructure. This role involves building scalable systems to discover, fetch, and refresh content from the web and other large data sources, managing billions of URLs and high-throughput data flows to ensure fresh, high-quality content for downstream AI systems.

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Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform, designed as a web access layer for AI systems. This platform enables AI systems to actively plan, retrieve, evaluate, and refine information, aiming to replace traditional search engines as AI becomes the primary interface to the web. The role involves designing systems to search and reason over web data in real-time under strict latency and reliability constraints, solving retrieval, ranking, and passage extraction challenges at significant scale over constantly changing, unstructured data. This position offers ownership over key aspects of applied AI research direction and system design, with a strong expectation of defining new approaches and delivering measurable impact in production.

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Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost.

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Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a custom-built browser, ensuring content is rendered completely and reliably at a cost-effective scale. Your work will involve modifying the Chromium browser to optimize performance, reduce resource consumption, and maintain compatibility with web standards, ensuring high-quality content for downstream AI systems.

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Turing

Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role operates with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will own outcomes end-to-end, from identifying high-value customer problems and shaping architecture to building production systems and collaborating directly with senior client leaders. This is an intellectually challenging role focused on developing generative AI solutions that drive measurable impact and ROI within large institutions.

$200k - $250k

Turing

Turing builds the training and evaluation data that powers the world's leading frontier AI labs. As these labs push the boundaries of AI, they rely on us to assess their newest models against benchmark datasets, identify failure points, and determine what data will improve their capabilities. As a Field Engineer, AI Labs, you will be the technical representative of Turing to these frontier research teams, operating at the intersection of client-facing solutions engineering and hands-on AI evaluation. You will connect new model endpoints, execute comprehensive evaluations across Turing's datasets, synthesize performance metrics into actionable insights, and present these findings directly to client researchers and technical leaders. This is a high-velocity, high-agency role for a technically adept individual who excels at customer interaction, running benchmarks against model APIs, and ensuring precise data delivery.

$175k - $232k

Momentic is seeking a hands-on AI Engineer to join their engineering team and collaborate closely with the CTO. This role focuses on enhancing the AI models and agents that power Momentic's AI-native testing platform. You will be instrumental in fine-tuning models, developing robust evaluation strategies, and transforming production data into more reliable and efficient AI agents. Your work will have a direct and significant impact, as Momentic processes over a million tests daily and billions of tokens per hour.

$175k - $250k

Turing

Turing is seeking a Strategic Project Lead for their software engineering data programs. In this role, you will be responsible for the production system that generates high-quality datasets, reinforcement learning environments, and research benchmarks for frontier AI labs. You will translate complex research requirements into predictable delivery, managing aspects like quality, throughput, contributor performance, timelines, and cost. This is an operations leadership position with a technical component, requiring you to understand code, tests, and quality signals to optimize workflows and rubrics. Your primary goal is to build and operate a system that consistently produces high-quality technical work at scale.

$120k - $200k

We are seeking a Senior Fullstack Member of Technical Staff to join our Engineering team. In this role, you will be instrumental in building the product and systems that translate simulated behavior into real product decisions. You will work across the entire technology stack, connecting complex backend systems, including multi-agent simulations and evaluation pipelines, to frontend experiences that customers rely on for critical decision-making. This is an opportunity to own and build core platform features, translate agent behavior into product functionality, develop system visibility and trust tooling, and shape user interaction with simulations.

$175k - $200k

Databricks

Databricks is seeking a Senior SAP Developer to join their IT organization, which focuses on building intelligent, AI-powered platforms to enhance internal operations. This role will be instrumental in automating complex business processes within Finance, surfacing actionable insights, and orchestrating end-to-end workflows. The developer will work at the intersection of SAP and AI, creating applications, extensions, and integrations that make finance operations faster, smarter, and more automated. The vision is to reimagine finance operations so teams can focus more on strategic insights and less on manual tasks.

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Sola

Sola is an AI-native platform reinventing enterprise process automation and disrupting legacy RPA tools. Our AI agents can execute complex workflows across any application, browser, desktop, or legacy system. We are looking for Forward Deployed Engineers to help bring Sola to the world's largest enterprises and rewrite the playbook for how automation is built. This role combines hands-on technical execution with customer-facing communication and partnership, focusing on solving complex customer problems and contributing to the platform's evolution.

$120k - $200k

Lovable is seeking an exceptional Forward Deployed Engineering Lead to help build the future of AI-powered software creation. This role involves building and leading an outstanding Forward Deployed Engineering (FDE) team, while collaborating with other FDE leaders to define the function's global operations. You will remain deeply hands-on, working directly with ambitious customers, writing production code, and contributing to projects alongside your team. Lovable is a software creation platform empowering individuals and businesses to bring ideas to life, having facilitated over 60 million projects since its launch. The company is a fast-growing, generational AI company with a culture of extreme ownership, high velocity, and low-ego collaboration.

$241k - $391k

Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

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Anthropic

As an Applied AI Security Architect, you will be Anthropic's primary security expert for enterprise customers in the healthcare and life sciences sectors. You will engage directly with CISOs, security architects, and technical leaders to address their concerns about deploying Claude safely and securely. This pre-sales technical role focuses on security, compliance, networking, and data architecture, requiring deep expertise in enterprise security, regulatory compliance, and data protection. You will help customers understand Claude's security architecture and data handling, and design solutions that meet their specific regulatory and organizational requirements. The role involves defining how enterprises approach security and compliance in the age of AI, particularly concerning MCP, autonomous agents, and RBAC.

$315k - $380k

As a Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to develop and implement AI-powered solutions that revolutionize how work is performed. You will manage projects from inception to completion, including scoping complex problems, creating prototypes for AI workflows, and deploying robust, scalable systems built on our platform. This role involves close interaction with both technical and non-technical stakeholders, blending the roles of an AI engineer, software developer, and technical consultant. It's an ideal position for individuals eager to work hands-on with AI models and directly witness the impact of their work.

$93k - $217k

Salesforce is seeking a Software Engineering SMTS to join their Product Core team. This team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication. They also enable customers and partners to extend the product through APIs and webhooks. The role involves building the data, context, and execution capabilities behind agentic product experiences, such as meeting preparation and routing investigation. As a technical leader, you will drive complex initiatives from design to production, shape architecture, write production code, and influence technical direction.

$149k - $224k

OpenAI

The ChatGPT Learning team is building the next generation of learning experiences within ChatGPT, aiming to support sustained learning and progress beyond individual questions. This role involves leading the design and development of products that leverage AI to make powerful learning tools more accessible, helping millions of users understand the world, develop skills, and pursue their goals. The work combines product engineering, design, AI research, and education to serve learners globally. As a Principal Software Engineer, you will be hands-on across the full stack, building polished interfaces and scalable backend services, and driving product and design decisions with cross-functional partners to translate ambiguous opportunities into clear direction and successful product launches.

$459k - $536k

Asana

Asana is seeking a Software Engineer to join its AI organization in Vancouver, focusing on building the human-agent operating system. This role involves contributing to core AI teams, from platform infrastructure for autonomous agents to trust and evaluation systems, and product surfaces for AI-orchestrated workflows. The position offers a hybrid work arrangement based in the Vancouver office, with specific in-office days and potential for remote work on other days, depending on the role's needs.

$146k - $162k

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into their products. You will partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences, combining rapid experimentation with the demands of established products. This role involves deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection through production launch and scale, influencing how OpenAI's products evolve.

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Dscout

Dscout is seeking an Applied AI Engineer with 2-5 years of experience to build and ship AI systems for enterprise use. This role focuses on the unique challenges of AI-native products, where reliability and performance across real-world scenarios are paramount. You will be instrumental in improving agent behavior, understanding user feedback, and ensuring AI systems deliver measurable business impact. The ideal candidate is comfortable with modern LLM-based systems and agentic workflows, possesses strong product judgment, and can effectively balance LLM approaches with traditional ML techniques.

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