• Demonstrates understanding of goals and objectives and customer business needs • Develops design recommendations and documents to facilitate in-house development projects based on architectural and functional specifications provided by team • Applies modeling techniques and enterprise data standards to highly complex business requirements • Assists Team Lead and/or Solution Architects to perform initial design, problem solving and reviews of software architecture appropriate to strategic direction • Estimates development work and ensures targets are met by achieving budget goals • Documents all work to the standards and practices provided by the Team Lead

Senior Software Engineer - AI Applications Work Location: Pleasanton, California Work Arrangement: 100% Remote Full-Time Job Description Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role This role is responsible for architecting, building, and validating the next generation of Nitro AI Agents. We are looking for a seasoned engineer who lives at the intersection of robust software engineering and cutting-edge AI. You will go beyond simple prompting to design complex agentic workflows, get insights from large-scale repositories, and ensure the reliability of these systems within a mission-critical life sciences environment. You will enhance and add to existing Java-based back-end systems. What You'll Do - Agentic Architecture: Proven experience building scalable AI orchestration layers that drive operational workflows, ranging from high-precision Text-to-SQL agents to complex multi-agent systems capable of tool-calling, event orchestration, and autonomous self-correction - Model Strategy: Choose and configure the optimal LLMs based on cost, reasoning depth, and latency - Hybrid Data Systems: Build scalable bridges between Relational Databases (Postgres/Java) and Vector Stores, using metadata strategies like PageIndex to ensure data stays synchronized and searchable - Text-to-SQL Agents: Develop high-precision agents that translate natural language into complex SQL, featuring self-correction loops to handle large enterprise schemas accurately. Choose appropriate RAG approach for semantic embedding and retrieval - Automated Validation: Develop, implement, and maintain scalable automated evaluations to ensure agent behavior remains consistent across model updates and feature releases Requirements - Agentic Workflow Mastery: 2+ years of proven experience building scalable AI orchestration layers that drive workflows, ranging from precision Text-to-SQL agents to complex multi-agent systems capable of tool-calling, event orchestration, and autonomous self-correction - Scalable backend systems for AI orchestration: 7+ years of experience building and deploying distributed systems that handle high concurrency, rate-limiting, and asynchronous task queues using Java, Spring, and Python. Optimize AI orchestration for performance, scalability, and efficiency - RAG & Vector Expertise: Expert at building high-precision RAG systems across structured relational data and unstructured documents, utilizing vector databases to enable accurate retrieval across large-scale enterprise datasets - Automated Evaluation: Experience building pipelines to measure complex AI agent performance using key metrics like task success rate, accuracy, and output quality - AI Trends: Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects - Life Sciences Experience (nice to have): Familiarity with the unique data privacy and regulatory requirements of the life sciences industry - Mentorship: Demonstrated ability to mentor team members and contribute to a positive and high-performing team environment - Education: Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related technical field - Culture: High work ethic, high integrity, and a "do the right thing" mindset - Applicants must have the unrestricted right to work in the United States. Veeva will not provide sponsorship at this time Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program Compensation - Base pay: $110,000 - $270,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-MidSenior Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected]. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role Description We are looking for an experienced developer to build a modern Showcase experience for the ResponsiveAds website. This project is not intended to replace our existing Showcase product or creative management platform. Instead, it will serve as a marketing and sales tool that highlights selected campaigns, demonstrates ResponsiveAds capabilities, and helps visitors understand how our creative technology works across devices, formats, and channels. - Campaign discovery and filtering - Interactive ad previews - Responsive format demonstrations - Template-level benchmark analytics - Marketing-managed content and taxonomy Qualifications - React / Next.js - Modern CMS architecture - Content modeling and taxonomy design - Search and filtering systems - Responsive web applications - Experience embedding third-party content or iframe-based experiences - Strong UX implementation skills - Experience building galleries, resource centers, portfolios, marketplaces, or discovery experiences Requirements - Create a modern browsing experience that allows visitors to search campaigns, filter by industry, format, template, product, channel, and category, explore featured campaigns, and discover related examples. - Each showcase entry should include campaign overview, creative description, products used, formats supported, categories and industries, related campaigns, and benchmark performance metrics. - Demonstrate how ResponsiveAds creatives adapt across devices and placements (Desktop, Tablet, Mobile, CTV). - Include an in-page preview experience where visitors can see how ads behave within realistic webpage environments (Top of page, Mid-page placements, Side rail placements, Responsive layouts, Device-specific experiences). - Maintain a curated taxonomy that supports official ResponsiveAds categories (Industries, Products, Formats, Templates, Channels). - Provide a simple backend interface for non-technical team members to manage Showcase content without developer support. - Leverage selected assets and preview functionality from the existing ResponsiveAds platform without exposing the full creative library. Benefits - A strong commitment to work-life balance with flexible work and vacation time. - Generous paid time off and flexible work-from-home policies. - Support for educational courses and continuous learning. - Continuous merit-based pay increases. - Stipend paid parental family leave policies to support you during major life events. Deliverables - Phase 1: Review existing implementation, recommend architecture and CMS approach, define content model and taxonomy structure. - Phase 2: Build public Showcase experience, implement filtering and discovery workflows, build campaign detail pages, implement responsive preview experiences. - Phase 3: Build admin/content management interface, content publishing workflows, production deployment and documentation. To Apply - Portfolio - Examples of similar work - Relevant CMS or content-driven projects - Experience with React/Next.js or equivalent frameworks - Availability - Estimated hourly rate or project estimate

Who We AreAt MongoDB, we are empowering innovators to create, transform, and disrupt industries by unleashing the power of data. The Query Integration team is at the heart of making MongoDB's data capabilities seamless and accessible. Our mission is to build intuitive, user-facing features on top of our core query engine and integrate it deeply with the broader MongoDB ecosystem. We work on cutting-edge features that power our time-series database, extend analytical language capabilities, and scale our high-growth Atlas Search and Vector Search products. We are a highly collaborative team that values engineering excellence and continuous learning. While our core engine development is in C++, our testing infrastructure relies on JavaScript and Python, making for a dynamic and modern development environment. This role can be based out of our US or Canadian offices, or remotely within the North American region. What You’ll Do As a Mid-Level Software Engineer on the Query Integration team, you will bridge the gap between core database internals and user-facing features. You will: - Develop and scale new query capabilities that directly impact our time-series, Atlas Search, and Vector Search products while adding workload telemetry for greater database insights. - Contribute high-quality, maintainable code primarily in C++ and gain a deep, working understanding of the MongoDB query engine. - Work constructively with peers to design, implement, and support robust technical solutions while giving and receiving meaningful feedback in code reviews. - Build comprehensive testing suites in Python/JavaScript and implement diagnostics to help identify and resolve complex query performance problems. What We Look ForWe welcome diverse perspectives and recognize that great engineers come from a variety of backgrounds. If you share our passion for database internals and match most of these points, we want to hear from you: - 3+ years of experience in computer programming - Experience in databases and/or data management systems is a huge plus, but not a requirement - Hands-on experience building industrial-strength software - Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture - Experience with large code bases, preferably in C++ - B.Sc. in Computer Science or similar field, or equivalent practical experience - Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Success Measures - In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series - In six months, you’ll have taken on code review responsibilities and are independently delivering complex functionality and squashing bugs independently - In twelve months, you’re contributing to the design of major new features and are helping to mentor new engineers on the team About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 2273473046 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $106,000—$209,000 USD