software engineer   ai

SmithRx

<div>
 <strong>
  Who We Are:
  <br/>
  <br/>
 </strong>
 SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.
 <br/>
 <br/>
 We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Integrity:
   </strong>
   Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.
  </li>
  <li>
   <strong>
    Courage:
   </strong>
   We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward&mdash;always.
  </li>
  <li>
   <strong>
    Together:
   </strong>
   The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Summary:
  <br/>
  <br/>
 </strong>
 As a Software Engineer, AI, you will be a key contributor in SmithRx's mission to build a next-generation, AI-native pharmacy benefits platform. This is not a traditional MLE role; we are looking for a product-focused, versatile engineer who can help bridge the gap between cutting-edge LLM capabilities and reliable, production-grade software. You will help build and scale systems that leverage the power of AI while maintaining the deterministic rigor required for healthcare and financial transactions. You will apply engineering best practices, coding standards, and collaborate closely with the team on system design. We need our engineers to be adaptable and driven, display strong ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward.
 <br/>
 <br/>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and Maintain: Focus on discovering, designing, developing, and maintaining SmithRx product features using a varied technology stack such as Golang, JavaScript/TypeScript, Node, GraphQL, and SQL (amongst others), while leveraging CI/CD to iterate quickly.
  </li>
  <li>
   Collaborate on Design: Work with technical leads, senior engineers, and stakeholders to translate requirements into high-quality, AI-native software, actively contributing to technical design and scoping discussions.
  </li>
  <li>
   Build the Stochastic/Deterministic Bridge: Help implement the "safety rails" around LLMs, writing deterministic software that effectively manages, validates, and wraps the stochastic nature of AI models to ensure accuracy in healthcare data.
  </li>
  <li>
   Uphold Best Practices: Consistently apply software development best practices, design patterns, testing, and automation, utilizing emerging AI technologies like Claude-code, Copilot, or similar tools to accelerate development.
  </li>
  <li>
   Leverage Cloud Infrastructure: Utilize AWS technologies, like Lambda, Managed Kafka, and EKS, to handle various types of jobs and batch processing.
  </li>
  <li>
   Support Production: Troubleshoot production issues by participating in bug triage, assessing impact, and collaborating with the team to implement short-term mitigations and long-term root cause fixes.
  </li>
  <li>
   Drive Team Excellence: Foster a collaborative learning culture by actively participating in code reviews, sharing knowledge, and exploring innovative technologies alongside the engineering team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you will bring to SmithRx:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS degree in computer science or applicable experience.
  </li>
  <li>
   3-5 years of software development experience working on server-side applications, specifically around API servers, third-party integrations, and data processing.
  </li>
  <li>
   Strong experience in a compiled language such as GoLang or Java is required.
  </li>
  <li>
   Proficiency with relational databases such as PostgreSQL, including schema design and query optimization, is required.
  </li>
  <li>
   Working knowledge of GraphQL APIs, CI/CD pipelines, the AWS platform, Docker, and Kubernetes is a plus.
  </li>
  <li>
   AI Integration Experience: Familiarity or hands-on experience with Agentic Frameworks, MCP, LLM APIs (Anthropic/OpenAI), and basic Prompt Engineering/Evals.
  </li>
  <li>
   Communication: A collaborative approach to engineering, capable of explaining technical trade-offs to teammates and working effectively within a distributed team.
  </li>
  <li>
   Engineering Mindset: Ability to write clean, maintainable code with an understanding of system performance, while successfully navigating the ambiguity of a high-growth startup.
  </li>
  <li>
   Positivity; non-dogmatic, team-first attitude.
  </li>
  <li>
   Flexibility; someone who is responsive and comfortable with ambiguity.
  </li>
  <li>
   Experience at a high-growth startup is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What SmithRx Offers You:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&amp;D Insurance
  </li>
  <li>
   Flexible Spending Benefits
  </li>
  <li>
   401(k) Retirement Savings Program
  </li>
  <li>
   Short-term and long-term disability
  </li>
  <li>
   Discretionary Paid Time Off
  </li>
  <li>
   Paid Company Holidays
  </li>
  <li>
   Wellness Benefits
  </li>
  <li>
   Commuter Benefits
  </li>
  <li>
   Paid Parental Leave benefits
  </li>
  <li>
   Employee Assistance Program (EAP)
  </li>
  <li>
   Well-stocked kitchen in office locations
  </li>
  <li>
   Professional development and training opportunities
   <br/>
   <br/>
  </li>
 </ul>
 Location: US Remote
</div>


Software Engineer, AI, Platform

Turvo Inc

<div><div><div><div><b>About Turvo:</b></div>
<div>Turvo provides a collaborative Transportation Management System (TMS) application designed specifically for the supply chain. Turvo Collaboration Cloud connects freight brokers, 3PLs, shippers, and carriers to unite supply chain ecosystems, delivering outstanding customer experiences, real-time collaboration, and accelerated growth. The technology unifies internal and external systems, providing one end-to-end solution that streamlines operations, enhances analytics, and automates business processes while eliminating redundant manual tasks. Turvo&rsquo;s customers include some of the world&rsquo;s largest Fortune 500 logistics service providers and shippers as well as small to mid-sized freight brokers.</div>
<div></div>
<div>Turvo is based in Dallas, Texas, with offices in Hyderabad, India. (www.turvo.com).</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><div><div><div>
<ul><li>The Senior Software Engineer helps Turvo maintain high standards through analysis, design, development, and deployment activities.</li>
<li>Review product specifications and produce top-quality high-level/low-level technical design deliverables.</li>
<li>Evaluate technical solutions for feasibility and fit, at the same time provide recommendations and feedback.</li>
<li>Collaborate cross-functionally to make technical trade-offs between your group&rsquo;s short term and long term business needs, and the needs of the company as a whole.</li>
<li>Work closely with Software and Quality Engineers in your peer group to implement solutions, test, automate, and deliver high-quality features .</li>
<li>Perform thorough code-reviews and provide actionable feedback.</li>
<li>Implement automation for clean code, quality gates, and security vulnerability checks.</li>
<li>Document components and design, both in-code and on collaborative tools like Confluence.</li>
<li>Iteratively improve the underlying infrastructure and third-party libraries.</li>
<li>Resolve escalated customer technical inquiries.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div><div><div>
<ul><li>Minimum 3 years of relevant experience working on Java, Spring and SpringBoot.</li>
<li>Bachelor's degree in Computer Science, related field, or relevant experience.</li>
<li>Experience building microservice-based high-performance, stable, scalable systems that have been successfully deployed in an enterprise setting.</li>
<li>Experience mentoring other Engineers.</li>
<li>Knowledge of API driven platform development &amp; Software Integration.</li>
<li>Must have expertise in relational and non-relational/NoSQL databases like MySQL, Oracle, MongoDB, ES, etc.</li>
<li>Knowledge on Agile development tools, CI/CD tools like Jenkins and Test driven development tools.</li>
<li>Experience working with Large Language Models (LLMs) such as GPT, LLaMA, or similar, including fine-tuning and prompt engineering for enterprise use cases.</li>
<li>Strong understanding of natural language processing (NLP) concepts such as embeddings, semantic search, and text classification.</li>
<li>Ability to design and integrate LLM-powered solutions into microservice-based architectures, ensuring scalability and performance.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Nice to have:
</b></h3><div><div><div><ul><li>Experience in designing, leading and shipping complex web applications.</li>
<li>Experience developing applications for the Supply-Chain domain.</li>
<li>An eye towards modern product design and minimalistic user experience.</li>
<li>Knowledge of cutting edge technologies such as PaaS, NoSQL, Event processing etc.</li>
<li>You proactively contribute to knowledge-sharing across the Turvo engineering community.</li>
<li>You demonstrate resilience and navigate difficult situations with composure and tact.</li>
<li>Is self-motivated and able to work independently.</li>
<li>Experience applying LLMs to supply chain or logistics problems, such as intelligent document processing, automated customer support, or predictive insights.</li>
<li>Knowledge of responsible AI practices, including bias detection, model evaluation, and secure handling of sensitive data.</li>
<li>Exposure to cloud-based AI platforms (Azure OpenAI Service, AWS Bedrock, or GCP Vertex AI) for deploying and managing LLM applications.</li>
</ul></div></div></div></div></div><div><div>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.</div></div></div>

Senior Software Engineer - AI

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for an AI Product Engineer to join the team responsible for Notion's Custom Agents &mdash; which help teams automate their recurring workflows like filing tasks, writing reports, and answering questions in a knowledge base. As an AI Product Engineer, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's Custom Agents more intelligent, capable and reliable at scale.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with the team to prototype and experiment with new AI features
  </li>
  <li>
   Productionize and scale asynchronous workflows across Notion&rsquo;s systems
  </li>
  <li>
   Collaborate across AI, Infrastructure and Product teams to deliver high quality experiences for users
  </li>
  <li>
   Stay up-to-date with the latest AI technologies and trends
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise building and prototyping: You have experience building AI products using LLMs, embeddings and other ML technologies. You understand how parts of a system fit together from UI to data model, are familiar with relational databases like Postgres or MySQL, and have experience building products from ground up.
  </li>
  <li>
   Problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
  </li>
  <li>
   Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
  </li>
  <li>
   Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact&mdash;good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
  </li>
  <li>
   You have experience driving teams toward shared goals and can balance business priorities with individuals&rsquo; strengths, areas of interest, and career development goals.
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
  </li>
  <li>
   You have interests outside of technology, such as in art, history, or social sciences.
   <br/>
   <br/>
  </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $213,000- $250,000 per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy and NYLL 144.
 <br/>
 <br/>
</div>


Software Engineer, AI Workflows

DataAnnotation

<div>
 <strong>
  Join the DataAnnotation team
 </strong>
 and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
 <br/>
 <br/>
 We are looking for proficient
 <strong>
  programmers
 </strong>
 to help advance AI development. As a member of DataAnnotation&rsquo;s coding team, you&rsquo;ll be part of a growing community of over 100,000 professionals &mdash; including front-end, back-end, full-stack, machine learning, and other engineers &mdash; who are driving real-world impact in AI development.
 <br/>
 <br/>
 Our platform offers an engaging blend of flexibility and challenge: you&rsquo;ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
 <br/>
 <br/>
 To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you&rsquo;ll receive an email confirmation, and paid work will become available to you through our platform.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  </li>
  <li>
   Flexible schedule: choose which projects you take on and when you work.
  </li>
  <li>
   Competitive pay: projects are paid hourly, up to $60 USD/hour. Opportunities for higher-paying projects are available with strong performance.
  </li>
  <li>
   Impact: help shape the future of AI technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and solve diverse coding problems used to train AI systems with an emphasis on Android development.
  </li>
  <li>
   Write clear, high-quality code snippets and detailed explanations.
  </li>
  <li>
   Evaluate AI-generated code for accuracy, performance, and clarity.
  </li>
  <li>
   Provide feedback that directly shapes the next generation of AI models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level).
  </li>
  <li>
   Preferred experience in Kotlin. Proficiency in at least one of other the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
  </li>
  <li>
   Excellent writing and grammar skills.
  </li>
  <li>
   A bachelor&rsquo;s degree (completed or in progress).
  </li>
  <li>
   Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Note:
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
 <br/>
 <br/>
 #SWE
</div>


Remote Software Engineer - AI Trainer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The Artificial Intelligence Platform Empowering X (APEX) team works to accelerate and ensure the quality of the AI development lifecycle for Android and Pixel.</p><div>
In this role, you will design, build, and enhance the platforms, tools, and processes that deliver reliable, reproducible, and efficient evaluation for on-device AI models. Your contributions will be crucial in ensuring the quality, performance, and safety of AI features experienced by Android and Pixel users.</div><p>
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.</p><p><br>
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, AI/ML, Platforms and Devices

Apple

<p>Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there&rsquo;s no telling what you could accomplish. The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.<br>
<br>
Developer Experience Platform team is looking for an extraordinary Python backend engineer who has a robust understanding of Large Language Models (LLMs)and Generative AI to join our team. You will help design, implement the core backend services and pipelines that integrate with various other enterprise services including LLMs and bring Gen AI services. You would support our mission by applying groundbreaking research in this rapidly evolving and exciting space, to our daily work. By contributing to our team, you&rsquo;ll play an integral part in developing our developer productivity tools, leaving a significant footprint on the evolution of our enterprise AI platforms.<br>
<br>
<b>Description</b><br>
<br>
Developer Experience Platform team provides frameworks, services and developer tools to internal engineering teams in Apple to accelerate their SDLC. We are working on a Generative AI based Developer Experience Platform for internal use and assist our app development team. This role involves multiple aspects on the backend, like ensuring LLM based code generation is accurate, and integrating with various enterprise services. You will collaborate with Machine Learning engineers, Software engineers, and other data scientists to deliver and end to end solution for this platform.&quot;,&quot;responsibilities&quot;:&quot;This is a hands-on role for developing and supporting new and existing features. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation(RAG) and Generative AI.<br>
<br>
Experience working on platform engineering or a developer experience platform is a plus.<br>
<br>
Collaborative mindset to brainstorm on architectural patterns to arrive at the best approach. Keen interest in keeping up with the latest in the industry.<br>
<br>
Communicating effectively, both written and verbal, with technical and non-technical cross-functional teams<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor&rsquo;s Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.<br>
<br>
Proven experience in building complex agentic systems using LLMs. Strong programming skills, with a background in software architecture design and development.<br>
<br>
4+ years of software engineering experience specializing in enterprise software development, with expertise in backend technologies including Java and Python, along with strong proficiency in database technologies and CI/CD solutions.<br>
<br>
Strong programming skills building backend API services using Python and/or Java.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Engineer, AI Agents, AI & Data Platforms (AiDP)

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li><div>8 years of experience in software development.</div></li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.<br>
</li>
<li>5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li>
<li>2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p><p>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, test, deploy, maintain, and enhance large scale software solutions.<br>
</li>
<li>Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.<br>
</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.<br>
</li>
<li>Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, AI/ML GenAI, Google Cloud

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