Engineering Intern – Generative AI for Financial Planning & Analysis Platform

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-powered platform. We specialize in transforming medical conversations into structured clinical notes in real-time, enabling clinicians to prioritize patient care. Our enterprise-grade technology seamlessly integrates with electronic medical r…

We appreciate your interest in joining the Uncountable Engineering team!About the RoleUncountable is on the lookout for passionate software engineers who specialize in deploying Generative AI within software applications.Our software platform is utilized by scientists at top R&D organizations to efficiently structure and analyze experimental data. The researchers leveraging our platform are tackling significant challenges in materials science, chemistry, biotechnology, and other scientific domains. Our mission is to empower them to overcome these challenges with greater speed and efficiency.In this role, you will harness the latest advancements in large language models (LLMs) to address the everyday obstacles faced by scientists. You will be responsible for developing AI-enhanced search and visualization tools, innovative user experiences utilizing multimodal LLMs, intelligent research assistants, and much more. This is a rare chance to be at the forefront of accelerating scientific innovation through LLMs and generative AI.Your Responsibilities:Design and implement LLM-powered features from start to finish, encompassing both LLM-specific tasks (prompting, latency optimization, behavior tuning/testing) and conventional full-stack development (frontend/backend coding, API design, and database architecture).Create a robust in-house LLM architecture to meet the evolving demands of our product (including API integration, testing, observability, caching, and infrastructure for fine-tuning and inference).At Uncountable, we pride ourselves on a culture of continuous deployment and rapid iteration. You will have the opportunity to release your work frequently to our users and refine it based on their feedback.The features you develop will often represent groundbreaking approaches to software applications, allowing you to take on diverse roles as a designer, researcher, engineer, product manager, and more to craft outstanding products. This position is ideal for individuals eager to quickly enhance their skills and perspectives or those aspiring to start their own ventures in the future.Salary Range: $120K-$160K + Equity

Thank you for your interest in Uncountable Engineering!Position Overview‍Uncountable is on the lookout for passionate software engineers who specialize in the deployment of Generative AI solutions.Our innovative software platform empowers scientists at leading R&D organizations to efficiently structure and analyze experimental data. Users from various disciplines, including materials science, chemistry, and biotechnology, are leveraging our platform to tackle complex problems, and our mission is to expedite their research endeavors.In this role, you will harness the latest advancements in Large Language Models (LLMs) to address real-world challenges faced by scientists daily. Your responsibilities will include developing AI-driven search and visualization tools, next-gen user experiences utilizing multimodal LLMs, intelligent research assistants, and much more. This is a unique chance to contribute to a transformative movement aimed at accelerating scientific discovery through generative AI.Key ResponsibilitiesYou will be tasked with:- Crafting end-to-end LLM-powered features, encompassing LLM-specific tasks (prompting, latency optimization, and behavior tuning/testing) alongside traditional full-stack development responsibilities (frontend/backend coding, API and database design).- Building a robust in-house LLM infrastructure to meet the evolving demands of our products (API integration, testing, observability, caching, infrastructure for fine-tuning and inference, etc.).At Uncountable, we cultivate a strong culture of continuous deployment and rapid iteration cycles. You will frequently ship your work to users and refine it based on their feedback.Many of the features you create will pioneer new and innovative software applications, allowing you to take on varied roles as a designer, researcher, engineer, product manager, and more. This position is ideal for individuals eager to quickly enhance their skills and perspectives or those aspiring to launch their own ventures in the future.Salary Range: $120K-$160K + Equity

At Drivetrain, our mission is to empower businesses to make informed decisions. Our innovative financial planning and decision-making platform enables companies to scale effectively and meet their objectives predictably.As a remote-first organization based in the San Francisco Bay Area, Drivetrain was founded in 2021 by former Google employees. With the support of leading venture capital firms, we are rapidly growing and poised for success. Embracing Remote Work: We unite talented individuals from around the world, offering them a high degree of autonomy and fostering a culture of trust. Open and Transparent Environment: By providing our team with access to essential information, we encourage the emergence of their best ideas. Idea-Friendly Culture: We cultivate an atmosphere where innovation thrives, allowing anyone to propose great ideas and drive positive change. Customer-Centric Approach: Our product-led growth strategy emphasizes continuous learning from our customers to develop exceptional software.Role OverviewWe are on the lookout for enthusiastic Computer Science engineering interns who are passionate about Generative AI. You will engage in real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to elevate our Financial Planning & Analysis (FP&A) platform. This internship provides a unique opportunity to gain practical experience at the intersection of AI and enterprise automation.Key ResponsibilitiesDevelop and Innovate: Create and prototype Generative AI solutions using RAG, agentic workflows, and LLMs tailored for FP&A applications.Collaborate: Partner with product and engineering teams to seamlessly integrate AI-driven functionalities into our platform.Optimize: Utilize strong computer science principles to design efficient algorithms, data structures, and scalable systems.Document and Present: Thoroughly document your projects, create workflow diagrams, and present findings to the team.Showcase: Complete and demonstrate comprehensive projects that exhibit your technical prowess and problem-solving abilities.

Join Strava as a Platform Engineer specializing in Generative AI and Machine Learning. In this pivotal role, you will drive the development of innovative platforms that enhance user experiences and push the boundaries of technology. Collaborate with a dynamic team of engineers and data scientists to create scalable solutions that utilize advanced AI techniques. Your work will directly influence the future of our products and services, making a significant impact on athletes and fitness enthusiasts worldwide.

Role overview MongoDB is seeking a Head of AI Platform, General Manager to lead its AI strategy and drive key projects. This senior leader will play a central role in shaping the future of AI at MongoDB, working closely with teams across the organization to strengthen AI capabilities. What you will do Set the overall AI platform strategy for MongoDB Oversee AI initiatives from initial concept to final delivery Work with engineering, product, and business teams to embed AI into MongoDB’s platform Evaluate and introduce new technologies that enhance MongoDB’s AI solutions Develop and communicate a long-term vision for AI at MongoDB Location This role can be based in New York City, San Francisco, or performed remotely from anywhere in the United States.

Join Databricks Mosaic AI as a Senior Machine Learning Engineer and take the lead in developing our cutting-edge generative AI platform. Our team, formed in late 2020, empowers businesses by allowing them to securely fine-tune, train, and deploy custom AI models using their own data. This ensures maximum security and control while being compatible with all major cloud providers, allowing for unparalleled flexibility in AI development.Since our integration into Databricks in July 2023, we have been dedicated to tackling some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We leverage deep data insights to enhance our customers' business capabilities and thrive on overcoming technical challenges to deliver superior data and AI solutions.Role Overview:As a Senior Machine Learning Engineer, you will play a pivotal role in the design and implementation of our generative AI platform, covering the entire ML development lifecycle, including data generation, training, evaluation, serving, and agent-building. Your expertise will be essential in translating user requirements into intuitive product interfaces while constructing robust backend distributed systems that drive these features.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Role overview Harvey seeks a Staff Software Engineer to strengthen the AI Platform team in San Francisco. The position focuses on designing and building advanced software solutions that extend the platform’s AI features. Collaboration is central to this role. The engineer will work closely with colleagues across different teams to deliver systems that are both scalable and efficient. Every project supports Harvey’s broader mission and long-term goals. What you will do Design and implement software components that enhance AI capabilities Work with teams throughout the company to deliver reliable, high-performance systems Contribute to platform improvements that support Harvey’s mission Location This position is based in San Francisco.

About Scale AI At Scale AI, we are on a mission to revolutionize the development of artificial intelligence applications. Over the past eight years, we have established ourselves as the premier AI data foundry, driving groundbreaking advancements in generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are poised to expand our capabilities in providing frontier data, furthering our commitment to achieving Artificial General Intelligence (AGI). Our focus remains on enhancing model evaluation processes for both enterprise clients and government entities. About the Data Engine Our Generative AI Data Engine is instrumental in powering the most sophisticated large language models (LLMs) and generative models through exceptional Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety measures, and alignment. The data we generate plays a crucial role in shaping how humanity interacts with AI technologies. About the Billing Team We are actively seeking innovative Software Engineers to join our dynamic Billing Platform team. In this pivotal role, you will spearhead the development of our revenue tracking and billing system for Generative AI products. Your responsibilities will include designing versatile systems to accommodate diverse customer billing scenarios, implementing intricate billing partitioning strategies based on real-time criteria, and enhancing customer invoice generation along with balance visibility. You will gain extensive exposure to cutting-edge AI applications across enterprises, startups, government agencies, and major technology firms. The ideal candidate is a naturally entrepreneurial engineer who thrives in ambiguous environments, taking charge of outcomes through coding, customer interaction, requirements definition, and more. We believe that the most effective engineers take ownership of outcomes and possess a profound understanding of customer challenges.

At Scale AI, we are revolutionizing data infrastructure to empower the world’s most sophisticated AI systems. As the trusted data partner for pioneering model developers and enterprise AI teams, we deliver high-quality training data, evaluation frameworks, and human feedback systems that enhance the intelligence, safety, and effectiveness of AI models. Operating as a two-sided marketplace, we cater to a diverse clientele on the demand side, including top-tier AI labs and enterprises requiring expert-curated data for model training and evaluation. On the supply side, we leverage a global network of over 500,000 skilled contributors across 100+ countries, who perform intricate annotation, evaluation, and data generation tasks critical to AI advancement. As a Product Manager at Scale, you'll bridge these two realms, shaping the tools, systems, and experiences that drive our marketplace's unmatched quality and scalability. We are seeking Product Managers to join our dynamic GenAI organization across multiple teams. These positions will focus on both demand-side products (tools and platforms used by our clients) and supply-side products (systems that support our contributor ecosystem). Each role presents a chance to tackle high-impact, technically challenging problems at the forefront of AI, supported by dedicated teams in engineering, design, and data science. About the Role In this role, you will contribute to Scale’s GenAI platform, enabling leading AI companies—from innovative model labs to Fortune 500 enterprises—to create exceptional training data that enhances their models' performance. Expect to collaborate extensively with engineering, design, data science, operations, finance, growth, and customer-facing teams. The problems you will address are technically intricate, the pace is rapid, and your impact will be quantifiable. Regardless of whether you focus on the demand side (developing products for customers to create and evaluate training data) or the supply side (building systems for our global contributor network), you will take full ownership of your product area from strategy through execution and measurement. As a growth-stage company, Scale combines the resources of a well-funded leader with the urgency and innovation of a startup. Product Managers here enjoy significant autonomy, frequent shipping of solutions, and are expected to be hands-on and highly analytical. Example Product Management Openings: Task UX (Demand Side) — Take charge of the entire tasking product lifecycle. You will define task design, enhance contributor interaction through multi-turn chat interfaces, and enforce quality across various conversational modalities. This is a vital area for...

Join our innovative team at Abridge as a Software Engineer specializing in Generative AI. In this role, you will be at the forefront of developing cutting-edge AI applications that transform the way users interact with technology. With a focus on creativity and functionality, you will collaborate with cross-functional teams to design and implement robust software solutions that harness the power of AI.

About Scale AIAt Scale AI, we are dedicated to accelerating the advancement of AI technologies. For over eight years, we have been a frontrunner in AI data solutions, driving groundbreaking developments in areas such as generative AI, defense systems, and autonomous vehicles. Following our recent Series F funding, we are committed to expanding access to frontier data, paving the way toward Artificial General Intelligence (AGI), while enhancing our model evaluation capabilities for both corporate and governmental clients.About Data EngineOur Generative AI Data Engine fuels the world's most sophisticated language models and generative systems through exceptional Reinforcement Learning with Human Feedback (RLHF), human data creation, model assessment, safety measures, and alignment strategies. The data we generate is pivotal in shaping how humanity interacts with AI.Our ApproachDuring the interview process, candidates may be considered for positions across various teams within the Generative AI Engineering division, depending on their interests, skills, and organizational needs. Potential teams include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams drive Scale’s AI data operations—from developing impactful datasets that expand LLM capacities to refining contributor engagement and ensuring data integrity through advanced safety and security protocols. They operate at the intersection of machine learning, operations, and analytics to guarantee the delivery of high-quality data at scale.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.

Plasmidsaurus helps scientists worldwide by streamlining sequencing. Researchers from leading institutions and companies rely on this platform daily. With a global network of labs, the company delivers fast, affordable sequencing results, and has recently expanded into RNA-seq to broaden its genomics reach. The team is focused on building a universal sequencing platform designed for efficiency and global scale. Role overview The Lead Engineer for AI Infrastructure in Platform Engineering sets both technical direction and management strategy for the company’s compute, data, AI, and security infrastructure. This position oversees the entire sequencing operation, from laboratory devices to data delivery. What you will do Oversee core services that coordinate laboratory devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline. Develop cloud infrastructure and data pipelines for storing, processing, and delivering terabytes of sequencing data. Design systems to manage millions of bioinformatics tasks, handling queue management, workflow orchestration, and scheduling. Build AI infrastructure and internal tools to support autonomous systems, including: Quality Scientist Agents: Monitor operations, detect anomalies, and escalate quality or reliability concerns. Logistics Agents: Coordinate global transportation of samples to labs and carriers. Bioinformatics Coding Agents: Run adaptive analyses on varied sample types with different data distributions. Culture The team values initiative and a strong sense of ownership. High agency and responsibility shape how work gets done at Plasmidsaurus.

Who Are We?Postman stands as the premier API platform globally, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to facilitate a seamless API-first world by simplifying every stage of the API lifecycle and enhancing collaboration—enabling users to build superior APIs more efficiently.Headquartered in San Francisco, Postman has a global presence with offices in Boston, New York, Austin, Tokyo, London, and Bangalore, where we were established. As a privately funded company, we are backed by esteemed investors including Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or engage with us on X via @getpostman.P.S: We encourage you to explore The "API-First World" graphic novel for a deeper insight into our vision at Postman.The OpportunityIn the role of Head of AI Platform Engineering at Postman, you will spearhead the integration of AI development within our expanding API platform. You will be responsible for steering the AI roadmap with an emphasis on enhancing AI-driven API collaboration and intelligent capabilities throughout the platform. This position seeks a visionary leader adept at identifying market trends, orchestrating cross-functional AI initiatives, and cultivating robust partnerships to elevate the impact of the Postman AI platform.What You’ll DoDirect the formulation and execution of Postman’s AI platform strategy, concentrating on the growth of the API ecosystem and innovation within the platform.Lead the AI roadmap, focusing on API integration, platform expansion, and AI-enabled agent functionalities.Identify and leverage market opportunities for AI-enhanced API collaboration and intelligent agent features.Work collaboratively with business units, product teams, engineering, and external partners to ensure successful deployment of AI initiatives.Oversee implementation with major AI platforms (OpenAI, Anthropic, AWS, etc.), ensuring both technical and strategic alignment with AI features and improvements to the API lifecycle.Inspire and mentor internal teams and external collaborators to embrace innovation in AI within API contexts.Continuously assess emerging AI technologies and tools to enhance platform capabilities.About YouDemonstrated leadership experience managing AI or platform teams, ideally within API-centric environments.

Join the Innovative Team at CodeRabbit!At CodeRabbit, we are at the forefront of research and development, dedicated to creating cutting-edge human-machine collaboration systems. Our mission is to revolutionize code review processes through a next-generation partnership between skilled engineers and sophisticated AI algorithms. By harnessing the power of generative AI, we aim to enhance software development efficiency and quality, achieving results that far exceed individual capabilities.Role OverviewAs an Applied Generative AI Engineer, you will be instrumental in designing, building, and deploying state-of-the-art generative AI systems that drive our code review and developer productivity tools. Your work will center around integrating cutting-edge methodologies such as Retrieval-Augmented Generation (RAG), Reinforcement Learning from Human Feedback (RLHF), and multi-step agentic reasoning into impactful product workflows.Collaboration will be key! You will work closely with engineers, product managers, and technical leads to build intelligent systems that deliver tangible value, transforming how developers write, review, and ship code.Key ResponsibilitiesDesign and enhance LLM-based systems for contextually rich and high-quality code reviews.Create and optimize agentic workflows that reason across various steps and contexts.Develop and manage knowledge base and retrieval pipelines, including chunking, embeddings, and semantic search.Deploy generative AI models into production and monitor their performance.Collaborate with cross-functional teams to ensure AI outputs meet user needs and align with product objectives.Analyze user feedback and usage data to iteratively refine system performance.Implement RLHF, ranking, and reward modeling techniques to enhance response quality over time.Stay updated on the latest advancements in generative AI and apply them to emerging use cases.QualificationsEducation: Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.Experience: Minimum of 3 years of experience working with machine learning or LLM-based systems in production environments, with at least 2 years dedicated to generative AI.Technical Skills: Proficiency in programming languages and frameworks relevant to AI development.

Lambda, recognized as The Superintelligence Cloud, is a pioneering force in AI cloud infrastructure, empowering tens of thousands of customers, from AI researchers to large enterprises and hyperscalers. Our mission is to make computational power as accessible as electricity, providing everyone the capability of superintelligence—one person, one GPU.Join us in our quest to build the world’s leading AI cloud platform.Note: This role mandates in-office presence in our San Francisco location four days a week; Lambda’s designated remote work day is Tuesday.As an Engineering Manager at Lambda, you will lead the charge in developing and scaling our cloud offerings, which encompass the Lambda website, cloud APIs, and internal tools for deployment, management, and maintenance.