Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python.

You'll work end-to-end , from discovery and scoping through prototyping, launch, and iteration , using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities.
• Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI , and who can work as a peer with non-technical business partners, not just as an order-taker.

Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems , backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment.
• Agentic AI literacy. You understand how modern agentic systems are constructed , the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure , including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations , understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon.

Preferred Qualifications:

• Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
• Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling.
• Familiarity with MCP server design , including building, deploying, and securing MCP-compliant tool servers.
• Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
• Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
• Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
• Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-KBF

XML job scraping automation by YubHub

This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

You may be a good fit if you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

XML job scraping automation by YubHub

We are looking for an ambitious and experienced software development engineer to join our product and platform development team. As a key member of our team, you will collaborate with multiple teams to deliver high-quality and highly scalable products.

Responsibilities

Core Platform Development

• Work on the resiliency, availability, and latency of our core platform and services that are delivered to 820 million monthly active users and can scale to 100K+ RPS.
• Work with multiple databases and ensure scalability for the interacting platform components.
• Take ownership and publish (internal) reusable services and APIs.
• Enable feature teams to use the core platform.

Code Quality and Review

• Write clean code with proper test coverage.
• Review others' code and ensure that it is up to organization standards.
• Mentor junior members of the team.

Optimization and Performance

• Optimize application for maximum speed and scalability.
• Participate in the hiring process.
• Keep calm and learn every day.

Nice to Have

• Knowledge of frontend development and tools, especially JavaScript and React.
• Knowledge of functional programming is a plus (we use Clojure).
• Experience with benchmarking systems for performance, and failure detection.
• Experience in working with any of the above databases at scale is good to have.

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Software Engineer at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI and machine learning technologies. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

As a Senior Software Engineer at Microsoft AI, you will be responsible for designing, developing, and optimizing state-of-the-art rendering technologies to deliver fast, scalable, and visually compelling front-end experiences for users worldwide. You will build and maintain robust automation and CI/CD pipeline solutions, enabling seamless code integration and effective management of one of the largest developer ecosystems. You will also design, implement, and advance AI agent solutions that intelligently replace traditional automation logic, driving greater efficiency and adaptability in engineering workflows.

Accountabilities

• Design, develop, and optimize state-of-the-art rendering technologies to deliver fast, scalable, and visually compelling front-end experiences for users worldwide.
• Build and maintain robust automation and CI/CD pipeline solutions, enabling seamless code integration and effective management of one of the largest developer ecosystems.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in web front-end technologies (e.g., JavaScript/TypeScript, React, Angular).
• Experience with object-oriented programming languages (e.g., C#, Java).

Personal attributes:

• Strong problem-solving skills with an understanding of system design and architecture.
• Excellent communication and teamwork skills.

Benefits

• Competitive salary range of CAD $114,400 – CAD $203,900 per year.
• Comprehensive benefits package, including health, dental, and vision insurance.
• Opportunities for professional growth and development.
• Collaborative and inclusive work environment.

XML job scraping automation by YubHub