AI Startup Jobs

Moveworks is building the runtime infrastructure that powers its AI agents, which deliver real-time responses to millions of enterprise users. This role focuses on distributed systems engineering at the core of agentic AI. The AI agents can plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Salary not listed

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract crucial signals for training frontier AI models. The company's mission is to empower Physical AI and robotics teams to instantly find, curate, and stream the data they need. As a Software Engineer on the Data Systems team, you will build key capabilities for a high-throughput data engine over petabytes of video, lidar, and telemetry data, working directly on the architecture for real-time indexing, distributed storage/compute, and efficient dataloading to GPUs. This role offers high ownership across the stack in an agile, fast-paced startup environment.

$150k - $200k

Typeface

We help the world's biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Senior Full stack Engineer, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for strong full stack engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$160k - $200k

Moveworks is building the runtime infrastructure that powers its AI agents, enabling them to orchestrate, execute, and deliver responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan, execute multi-step workflows, call tools, and interact with users, all while ensuring correctness, observability, and low latency. The successful candidate will build and own the systems that make these advanced agent capabilities possible.

Salary not listed

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

Salary not listed

We are seeking a Senior Software Engineer to join our team and build the runtime infrastructure that powers Moveworks' AI agents. These agents are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI, enabling our AI agents to plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. You will build and own the core systems that make these advanced agent capabilities possible.

Salary not listed

As a Forward Deployed Engineer at Handshake AI Enterprise, you will embed directly within enterprise customer environments as part of a small, expert team. Your role will involve deeply understanding each customer's business, including their workflows and bottlenecks, to translate this knowledge into production-grade AI agents that measurably transform their operations. This is a full-stack ownership role, encompassing solution definition, agent building and deployment, evaluation design, and iterative performance improvement. You will develop into a genuine domain expert within your customer's vertical, leveraging this expertise to continuously enhance AI capabilities.

$155k - $170k

Artos

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

Unlearn is seeking an AI Engineer to join their Science organization, focusing on scaling the use of AI agents for core business problems within clinical development. This role is crucial for delivering impact in efficiency and extensibility by building new capabilities across machine learning, statistics, and AI tools. The ideal candidate will be entrepreneurial, taking end-to-end ownership of their mission, collaborating extensively, and investigating a broad range of tools and techniques to ensure team success. Unlearn's mission is to help life-saving treatments reach patients faster by making clinical trials smarter using data, AI, and digital twins.

$145k - $180k

Perplexity AI

Perplexity is seeking a Technical Program Manager to act as the central point of contact between our model providers, engineering, and product teams, driving the advancement of our core inference platform. This role is crucial for managing one of the industry's highest-throughput inference stacks, serving diverse traffic across a dynamic portfolio of models. You will operate at the nexus of product, engineering, and finance, coordinating the smooth integration of new models and capacity while executing the roadmap for the inference platform itself. The ideal candidate possesses strong technical acumen, excels at coordinating diverse teams and external partners with competing deadlines, and is motivated by establishing operating models for functions with limited precedent.

$170k - $265k

Prodigal is seeking a Machine Learning Engineer to join their Data Science and Machine Learning (DSML) team. This role involves owning the full lifecycle of ML systems, from data curation and model selection to fine-tuning, deployment, evaluation, and monitoring. You will work closely with product, engineering, and customer-facing teams to translate real-world problems into well-scoped ML challenges, curate necessary datasets, and train a variety of models including neural networks, transformers, and LLMs. The position requires taking models from development to production, optimizing for performance and scalability, and designing evaluation frameworks to ensure meaningful results.

Salary not listed

Parallel Wireless is seeking a driven PHY SW Engineer to join their R&D team. This role will focus on developing advanced, carrier-grade 4G cellular communication solutions, emphasizing performance, reliability, and AI-driven development. The engineer will contribute to building the software behind next-generation cellular networks and shaping the future of telecommunications through innovative and sustainable solutions.

Salary not listed

Perplexity AI

This internship program offers a full-time, in-person opportunity in Berlin for 12 to 24 weeks. Interns will focus on advancing search quality through innovative models, data, and tools. The role involves training and optimizing large-scale deep learning models, with a particular emphasis on retrieval and ranking models. Additionally, interns will conduct research in representation learning, covering areas like contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. A key aspect of the role includes building and optimizing RAG pipelines for enhanced grounding and answer generation.

Salary not listed

You will own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role where you will be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team and collaborating with internal engineering and product teams. This role requires regular customer interaction and up to 25% travel.

$191k - $334k

Ambral

Ambral Labs is building a platform to help enterprises leverage their historical data to improve AI model performance. The system reconstructs past company workflows into replayable environments, allowing for the evaluation and enhancement of agent behavior through reinforcement learning and other post-training techniques. This enables companies to develop better, more cost-efficient AI models that they own and control, rather than relying on third-party providers. Having graduated from YC and secured significant funding, Ambral Labs is now expanding its founding team.

$165k - $325k