You'll partner with business teams to identify high-leverage AI opportunities and **ship AI agents** that non-technical teams love using. … You'll help architect the **agentic AI platform** powering our company internally.

Let's transform the way manufacturing works | Tulip

Tulip is the first IIoT-enabled frontline operations platform. With Tulip, manufacturers gain a holistic view of quality, process cycle times,…

Working with data engineers and client stakeholders, you'll build scalable pipelines and ensure production readiness. … This role offers the chance to stay at the forefront of AI research and directly impact business outcomes.

Jobs at Particle41

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You'll **design and deploy AI-powered automations** for Kargo's commercial organization, connecting revenue teams with AI infrastructure. … You'll **drive the AI Ops roadmap** and build agentic applications across Salesforce, Snowflake, and Slack.

Careers

Interested in becoming a Kargonian? See our open positions!

You'll collaborate with **government and enterprise clients** to architect and deploy **AI-powered systems** in secure, compliant environments.

Quantifind

Automated AML investigations

This role offers the chance to apply measurement tightly coupled to development for **real customer-facing AI systems**. … You'll design and implement evaluation frameworks that enable **Evaluation-Driven Development** for AI systems deployed in customer environments.

Distyl AI

Distyl AI Jobs

Your work will directly shape how the company adopts AI safely and at scale. … You'll design and build automations, integrations, and AI agents that connect applications and eliminate manual work for a **1,000-person organization*

ID.me

Digital identity verification platform

Your work will shape how ID.me adopts AI safely and at scale. … You'll work at the frontier of applied AI with the autonomy to ship production-grade solutions.

ID.me

Digital identity verification platform

You'll **architect multi-agent systems** for Blee's AI-first compliance platform, powering workflows that replace spreadsheets and email.

Blee

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Your core impact is bridging generative AI with **physical engineering constraints** to produce manufacturable hardware.

Element 84

Element 84 Jobs

You'll **build and scale AI capabilities** from the ground up at **IMA Financial Group**, designing production AI solutions like copilots and agents. … This founding role lets you **define AI architecture and standards** across the enterprise.

Job Openings - IMA Financial Group

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Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works. What you’ll do You’ll be a technical owner for Brex’s external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with Brex through third-party assistants and platforms. Over the next year, you’ll turn early integrations into first-class, exemplar applications — stable, secure, and opinionated — that are showcased by platform partners and relied on by power users at Brex’s most sophisticated customers. You’ll design how Brex data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time. This is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance — not by the number of integrations shipped. Where you’ll work This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Own Brex's MCP Apps for OpenAI, Claude, Slack, and other embedders, including roadmap decisions across core and long-tail partners. Define the technical, UX, and reliability standards for how Brex surfaces and operates within external AI assistant ecosystems. Design and maintain secure, auditable integration patterns, including permissions, read/write access, and acting on behalf of users across third-party environments. Build and operate production-grade integrations that remain resilient amid evolving platforms, unpredictable clients, and shifting constraints. Partner cross-functionally with Security, Platform, Sales, Enablement, and internal agent teams to ensure integrations are safe, valuable, and well-supported. Serve as the center of excellence for reusable AI capabilities across Brex, defining and evangelizing standards, patterns, and shared components that power AI functionality both within the Brex platform and across external ecosystem integrations. Requirements Experience building and owning production software, including systems that integrate with or depend on third-party platforms. Demonstrated technical ownership for user-facing products with real external customers. Deep experience with identity, authentication, and secure data access across system boundaries, including OAuth and role-based access control (RBAC) for permissions. Proven ability to ship and operate reliable integrations with external APIs and clients outside your control. Strong product judgment, written communication, and end-to-end ownership, including accountability for quality and launch readiness. Bonus points Experience publishing and maintaining apps or integrations in third-party marketplaces (iOS, Slack, Shopify, GitHub, Chrome, etc.). Prior work on administrative or platform-side tooling for ecosystems. Familiarity with conversational or agentic interfaces in production environments. Experience building evaluations to measure and improve the quality, reliability, and safety of AI-powered features. Compensation The expected salary range for this role is $171,000 - $240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Careers - Be the founder of your career

Work at Brex. It's a launchpad, not a landing pad. We hire people who dream big, who have grit, autonomy,…

You'll translate manufacturing constraints and 3D CAD data into structured inputs for Xometry's AI engine, bridging traditional engineering with **software … You'll join the Generative AI and Geometric Integration team to apply your mechanical design expertise to train AI models.

Xometry

On-demand manufacturing marketplace

Serve as a trusted technical advisor across domains, present at conferences like **Data + AI Summit**, and influence the product roadmap.

Current job openings at Databricks | Databricks

Explore career opportunities at Databricks. Discover open positions and join our team to innovate in data, analytics, and AI.

You'll drive end-to-end delivery of **AI features** like LLM integration and semantic search. … You'll architect and evolve a **AI-powered contract platform** for a **leading legal tech company**.

Ironclad

Ironclad Jobs

Normal Computing | Incredible Opportunities The Normal Team builds foundational software and hardware that help move technology forward, supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission Silicon engineering is defined by exponential growth in design complexity, shrinking first-silicon success rates, and a global shortage of specialized talent. Normal EDA addresses these constraints with a platform that builds structured, traceable engineering artifacts directly from specifications and learns continuously from the teams that use it. The Forward Deployed Engineer is the person who makes that work inside customer environments, adapting the platform to their data, their workflows, and the engineering judgment their teams carry. We are hiring Forward Deployed AI Engineers to embed inside enterprise customers' silicon design environments and adapt Normal EDA to their data, workflows, and design challenges. You will work inside a pod with Deployment Strategy, Platform, other FDE, and GTM team members on a single enterprise engagement, and you will own the ML systems that make the platform work inside that customer's environment. Responsibilities Adapt Normal EDA to each customer's proprietary data, design flows, and tooling. Validate generated artifacts against their specifications, and design evals against real customer workflows so model behavior holds up in production. Bridge between customer engineering artifacts and the ML systems that operate on them. You will need to understand both sides well enough to diagnose whether a problem is in the model, the data, or the workflow. Embed with silicon engineers at the customer. Translate their constraints back to Normal's research, product, and platform teams, and shape what the platform becomes based on what you learn in the field. Make judgment calls on what to build, what to skip, and when to push back on a customer request that would compromise the quality of what ships. You will regularly operate ahead of a playbook. Codify what works on each engagement into reusable patterns that raise the floor for every engagement after yours. Bring field signal back to Normal's core ML and product teams. Your read on what customers actually need will directly shape model and platform investment priorities. What Makes You A Great Fit Track record of shipping ML systems inside customer or production environments where model behavior had to hold up against real-world data. You may have been called an AI FDE, an Enterprise Tech Lead, or something else entirely. An interest in hardware, electrical engineering, and how chips get designed and built. If your background is in semiconductor verification, hardware engineering, or a related domain and you are building ML depth, that combination is a strong fit for this role. Willingness and ability to go deep on semiconductor verification workflows. You will spend significant time inside UVM testbenches, SystemVerilog codebases, and design specifications. Prior experience is a strong advantage, but what matters is whether you can build fluency fast and earn credibility with verification engineers. Strong software engineering fundamentals: proficient in Python, comfortable in production codebases, distributed-systems literate. Hands-on experience with the modern ML stack: prompt engineering, fine-tuning, evals, RAG, agentic patterns, model deployment. Calm in ambiguity. You make good decisions with incomplete information, and you know when to act and when to ask. Bonus Points For Direct experience with EDA, semiconductor design flows, verification workflows (UVM, SystemVerilog, coverage-driven verification), or other formal / structured engineering domains. Built or led an FDE or customer-deployment function from the ground up at an earlier-stage company. Open-source contributions or publications in AI or ML venues. Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected]. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Normal Computing

AI for chip design

You'll design and deploy **AI systems** powering the infrastructure of an **open-source agent generation framework**.

Aden

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You'll prototype and refine **LLM-powered features** for a top-rated AI meeting notetaker.

Fathom

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You'll own Brex's external AI ecosystem, building integrations with third-party assistants like OpenAI and Claude.

Careers - Be the founder of your career

Work at Brex. It's a launchpad, not a landing pad. We hire people who dream big, who have grit, autonomy,…

Puntt AI | SF Hybrid | Forward Deployed Engineers | Founding Sr. Applied AI Engineers | Salary: $180,000 - $210,000 USD + equity, benefits and unlimited PTO One of our customers has thousands of packaging assets spread across dozens of markets, languages, regulations, and brand standards. Every change needs to be reviewed before launch. Humans currently do most of that work. We are automating it. The challenge isn't generating text. The challenge is building systems that can be wrong almost never. We're looking for: - Forward Deployed Engineers who enjoy sitting with customers, figuring out what's actually broken, and building solutions faster than a roadmap ever could. - Applied AI Engineers who obsess over retrieval, evaluation, orchestration, reliability, and all the ways AI systems fail in production. Small team. Real customers. Revenue. Lots of difficult edge cases. Please reach out directly if interested: linkedin.com/in/christinakayler

Ask HN: Who is hiring? (June 2026)

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You'll sit at the intersection of professional engineering judgment and frontier AI, **productizing structural intelligence** for autonomous AI agents. … You'll work directly with the CTO and CPO to **encode complex structural logic** into AI-executable patterns.

Structured AI

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