Sr. Software Engineer (Agentic Systems)

About Pinterest: 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. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.   As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes. What you'll do: * Write production Python that powers real-time bidding, model training, and campaign optimization * Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second * Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend * Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution * Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems * Serve as a technical lead and mentor on a distributed engineering team What we're looking for: * Strong production Python skills: you write code that runs in prod, not just notebooks * Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones * Familiarity with modern AI tools and good judgment about where they add value * Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization * Clear written communication: we're a distributed team and writing is how decisions get made * Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping * Bachelor's degree in Computer Science, Mathematics, Engineering, related field, or equivalent experience * 4+ years of industry experience * Nice-to-Haves: * Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring * Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration * Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing * Big data experience with Scala and Spark * Systems programming experience in Zig or similar (C, C++, Rust) * Reinforcement learning or bandit algorithms in production * Experience building agentic AI systems or LLM-powered workflows * MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   #LI-SM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $155,584—$320,320 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a AI Engineer to join our team. The position is based out at Bangalore or Mohali role, reporting to the Snr Manager, Product Business Operations in the AI Native - Product Operations Platform department. We are seeking a hands-on engineer to help scale the agentic layer of our platform by designing production-grade AI systems and expanding foundational capabilities. This role is built for a strong builder who understands modern AI systems in practice and thrives in a high-velocity, rapid-iteration environment. What you’ll do (Role Expectations) * Build and scale the agentic layer of the AI Native - Product Operations Platform by designing production-grade AI systems and supporting platform capabilities * Develop hands-on across FastAPI, NextJS, and Postgres while applying practical knowledge of RAG architectures, embeddings, and vector retrieval * Implement standards, patterns, and guardrails to ensure AI development on the platform remains scalable, reliable, and cohesive * Partner closely with Product and other stakeholders to translate business needs into scalable technical solutions optimized for cost and throughput * Contribute to a high-velocity delivery environment characterized by frequent releases, rapid iteration, and end-to-end execution Who You Are (Success Profile) * You are a pragmatic builder with a passion for rolling up your sleeves to create, iterate, and ship production-grade software. * You thrive in ambiguity and fast-paced environments, maintaining focus and execution velocity amidst rapid change. * You act like an owner, bringing deep accountability, a strong bias for action, and end-to-end execution to every project. * You are a high-trust collaborator who excels at partnering with cross-functional teams to translate business needs into technical solutions. * You champion simplicity, with a proven ability to distill complex technical problems and AI architectures into clean, actionable plans. What We’re Looking for (Minimum Qualifications) * 8 +yrs of industry experience with demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving * Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience * Strong hands-on software engineering experience with FastAPI, NextJS, and Postgres, including building application stacks end-to-end * Proven experience building and deploying agentic AI systems, RAG architectures, embeddings, and vector retrieval systems in production environments * Familiarity with prompt engineering, orchestration patterns, agent workflows, and the implementation of evaluation frameworks or guardrails * Comfortable operating in a high-velocity delivery environment with a track record of supporting weekly feature releases What Will Make You Stand Out (Preferred Qualifications) * Experience working in a startup or fast-scaling product environment with a broad technical range across backend, frontend, and platform engineering * Proven ability to design AI systems optimized for low cost, high throughput, extensibility, and long-term scalability * Experience selecting and implementing AI development tools, observability frameworks, and LLM application patterns #LI-Hybrid  #LI-RG At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.