AI Startup Jobs

sarvam

Our team builds Sarvam's context engine to solve key challenges for AI agents interacting with enterprise data. We aim to enable agents to effectively search, navigate, and cite information from diverse sources like documents, databases, and business systems, overcoming the limitations of current agents that forget information after a session. We are developing both a knowledge system to consolidate enterprise data and a memory system for agents to retain learning over time, focusing on continuous improvement and measurable results that outperform traditional approaches. This role offers the opportunity to own significant parts of the platform, with work directly driven by customer deployments, allowing for rapid iteration and close collaboration with teams working on Sarvam's models, document AI, and inference.

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Cohere Health

As a DevOps and Site Reliability Engineer (SRE), you will work closely with application teams to automate and optimize infrastructure, and solve issues in an exciting, fast-paced environment. You will play a vital role in ensuring our systems are reliable, scalable, and high-performing. You will design, implement, and manage robust observability solutions across our cloud infrastructure and applications, comfortable working with metrics, logs, and traces to proactively detect, diagnose, and resolve issues.

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Together AI

As a Technical Support Engineer at a pioneering AI company, you will be the first line of defense supporting customers building training, fine-tuning, and inference solutions. You will address complex technical challenges, provide effective solutions, and act as a product expert. Collaborating with product and sales teams, you will contribute to the continuous improvement of offerings. This role is for a technically proficient individual passionate about AI and customer success, seeking to make a significant impact in a fast-paced, innovative environment.

$160k - $230k

Together AI

We are seeking a software engineer to develop a Kubernetes-native control plane for managing our GPU inference fleet. This role involves designing a manifest-driven API that allows the inference team to declare their needs for clusters, model deployments, or capacity changes. Our controllers will handle the underlying reconciliation, provider/runtime selection, and lifecycle management, abstracting away the complexities of the serving stack, scheduler, and hardware. You will also build systems to optimize fleet efficiency, including defragmentation, rebalancing logic for consolidating workloads, and scheduling/bin-packing improvements to maximize GPU utilization without impacting latency. The primary goal is to decouple users of the platform from operational complexities while maximizing hardware capacity. This includes building controllers, reconciliation loops, and self-service APIs/CLIs, along with event-driven systems for health, remediation, and utilization, all designed to operate without human intervention. A product mindset is crucial, focusing on the developer experience of internal platforms and APIs, with a 'build it, own it' philosophy that includes production operation and support.

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Outset is building AI systems, referred to as digital twins, that represent specific real people and can respond to research questions as those individuals would. These systems are used by global brands to gain deeper qualitative insights about their users at unprecedented speed and scale. The Digital Twins Team focuses on measuring and improving the faithfulness of these AI systems in reproducing human responses and behavior. The Research Scientist will work closely with the Head Scientist to define research questions, design studies, establish measurement criteria, interpret findings, and contribute to internal decision-making and potential academic publications. This role requires a strong background in computational social science, data science, survey methodology, human-computation interaction, and experiment design.

$200k - $240k

AiPrise

AiPrise is seeking an Engineering Manager to lead and grow the team responsible for building the company's AI agents. This is a player-coach role where you will manage, hire, and develop engineers, while also staying hands-on with agent architecture design, prompt reviews, tool definitions, and debugging evaluations. You will be responsible for the end-to-end process of building, measuring, and shipping AI agents, including the skills and tools they utilize, their memory capabilities, and the evaluation metrics that ensure quality and performance in a regulated domain like KYC and KYB. The role emphasizes the importance of quality and observability alongside speed, as inaccurate AI decisions can have significant financial and audit implications for customers.

$185k - $230k

Vectara

Vectara is seeking a Platform Engineer to own the infrastructure that runs our deploy-anywhere platform. This role involves managing Kubernetes clusters for ML inference at scale, CI/CD pipelines, infrastructure as code, and the observability stack. You will be hands-on, writing Helm charts and Terraform, debugging issues, and shipping backend service features. The position requires deploying across AWS, GCP, and on-premises environments, including air-gapped setups, and participating in an on-call rotation to support enterprise customers.

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Sierra

Sierra is seeking a Software Engineer to join our full-stack data team, focused on enhancing the intelligence of AI agents. You will build real-time pipelines, analytics products, and personalization systems that leverage millions of conversations to drive business outcomes. This role involves architecting and developing our core data platform for low-latency, large-scale data processing, including real-time eventing, ETL pipelines, and a data lakehouse. You will also develop systems for long-term agent memory, customer data platforms, and optimization loops to personalize agent interactions and improve business results. The ideal candidate is passionate about AI products and thrives in a high-autonomy environment.

$230k - $390k

Outset is building AI-powered user interviews, creating digital twins that represent specific real people and respond to research questions as those individuals would. The Digital Twins Team focuses on measuring and improving how faithfully these AI systems reproduce human responses and behavior. As a Research Engineer, you will report to the Head Scientist and be responsible for building and maintaining the systems that enable the team's scientists to conduct their studies correctly, reproducibly, and at scale. Your role involves ensuring experiments execute as designed, results are reproducible, and research code stays aligned with the shipped product, supporting scientists in a computational research setting with hands-on experience in LLM-based systems.

$200k - $240k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with expanding offices globally. Our culture is built on values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. The company was co-founded by Bret Taylor, former co-CEO of Salesforce and CTO of Facebook, and Clay Bavor, who spent 18 years at Google leading initiatives like Google Labs, AR/VR, and Google Lens.

$230k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, transforming how businesses serve customers and grow. We are seeking a Software Engineer to join our Horizon team, focusing on building advanced AI agents capable of complex, long-horizon tasks across multiple communication channels. This role involves developing core agent capabilities, creating reusable systems and abstractions, and shaping the future of our AI product. You will tackle technically challenging problems in orchestration, integrations, data, memory, and observability, translating validated solutions into durable product features.

$230k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, transforming how businesses serve customers and grow. This role focuses on the core systems that power these AI agents across various communication channels, including phone calls, SMS, WhatsApp, email, and in-app chat. You will be instrumental in building the future of how entire industries operate with AI agents, tackling complex challenges in real-time, multi-modal conversations and ensuring seamless integration with global communication networks. The team is responsible for making AI voice feel like a real conversation, developing safe integration methods for personal AI assistants, and building the agent experience within customer applications.

$230k - $390k

Sierra

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do - Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. - Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over conversational data. - Monitoring: Build systems for proactively monitoring agents for defects or new patterns. What you'll bring - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. Even better... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. Our values - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

$230k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to revolutionize customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading technology companies like Salesforce, Facebook, and Google, with Bret currently serving as Board Chair of OpenAI.

$230k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to revolutionize customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI.

$230k - $390k

Invisible is an Applied AI research company that builds platform infrastructure to enable AI in production at scale. We help companies unify data, orchestrate agents, and deploy workflow applications. Our platform supports clients like Grubhub and Thomson Reuters, creating a feedback loop between enterprise deployment and model training. We are recognized for our predictive analytics platform and are focused on making AI work effectively in real-world scenarios.

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Zencoder.ai is building and orchestrating AI agents designed to handle real-world tasks like coding, research, and operations. What began as developer tooling has evolved into a collaborative platform for humans and AI agents working together on knowledge-based tasks. This role focuses on 'AI harness engineering,' ensuring the fundamental systems like CI/CD, testing, infrastructure as code, observability, and secure delivery are robust enough for AI agents to operate productively. The goal is to enhance developer experience and platform engineering, making workflows smoother for both humans and AI, and to integrate security seamlessly into the development process, addressing the evolving threat landscape posed by AI agents.

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Indicium AI is seeking an experienced Principal Forward Deployed AI Engineer to scale their impact and provide technical authority across multiple areas. This is a hands-on engineering role with broader technical, people, and commercial responsibilities. You will be deeply involved in the codebase, tackling complex challenges and acting as the primary technical voice. Your role will involve guiding delivery squads, managing commercial aspects of projects, and evolving into a trusted partner who shapes client roadmaps. You will also contribute to growing Indicium AI by developing reference architectures, agent patterns, and accelerators, assisting with hiring and talent development, and supporting pre-sales and client acquisition efforts.

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Isomorphic Labs is at the forefront of applying artificial intelligence to accelerate drug discovery and develop life-changing medicines. We are building a pioneering AI-first platform and autonomous agentic workflows to drive the next generation of drug discovery pipelines. As a Senior AI Security Engineer, you will operate at the intersection of AI and Cybersecurity, architecting and securing our platform. Your mission is to design custom risk management frameworks for the AI threat landscape in life sciences, establish governance over model artifacts, and embed security controls into our AI infrastructure. You will lead AI-specific incident response and pioneer model-driven defense mechanisms to safeguard intellectual property and accelerate innovation.

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Vectara

Vectara is seeking a Senior Platform Software Engineer to join their team. This role focuses on developing and managing the core infrastructure for their enterprise RAG and Agentic AI Platform, ensuring high availability, scalability, and automation. You will work on Infrastructure as Code (IaC) and Helm charts, design and develop platform features, and contribute to the Forward Deployed Engineering function by supporting customer applications from POCs to production. The role involves collaborating with Field Engineering teams, deploying and optimizing ML/NLP workloads, and contributing to architecture and infrastructure decisions as the platform scales. You will also be part of an on-call rotation and contribute to improving system reliability and developer experience.

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Indicium AI is seeking Senior Forward Deployed AI Engineers to build and deploy production agentic AI systems for enterprise clients. You will be embedded in client teams, tackling complex technical challenges and delivering high-quality AI solutions. This role involves working with multi-agent orchestration, RAG pipelines, and ensuring the reliability and observability of non-deterministic systems in regulated environments. You will also communicate technical concepts to both engineers and non-technical stakeholders, building credibility and trust.

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Indicium AI is a trusted partner for deploying AI solutions at enterprise scale, working with leading organizations and AI models. We focus on making AI a genuine competitive advantage for our clients through production deployments. We invest in our people, providing access to the latest AI tools, training, and flexible learning budgets. This role is for an engineer who wants to lead AI engagements end-to-end, from solution design to production deployment, and be accountable for their team's success. You will be the go-to person for complex technical challenges, making key architecture decisions, and setting high delivery standards. The role involves managing teams, dependencies, and risks, while understanding enterprise environments and navigating internal review and security processes. You will also own the client relationship, providing advice and managing expectations effectively. This is a hands-on engineering role where you will be actively involved in the codebase weekly, making and owning architecture decisions, and solving difficult technical problems.

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Supabase

Supabase is seeking a Software Engineer to join their Turso core database team. This role focuses on advancing the future of agentic databases, specifically by contributing to the Turso Open Source database and its Cloud offering. You will work on enhancing Postgres compatibility, ensuring system reliability, maintaining cloud operations, and improving scalability to support a massive increase in database usage. The ideal candidate thrives in a fast-paced, asynchronous environment and is passionate about building scalable database technologies for a world with millions of daily agent-created databases.

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Relace

Relace is building a globally distributed inference cloud, competing on price, speed, and reliability. We process over 800 billion tokens daily and have experienced significant growth, backed by a $23 million Series A funding round. Our team is small, offering substantial responsibility and growth opportunities. We develop our own stack, running on Kubernetes across multiple clouds, where performance directly impacts business success. This role focuses on the lowest level of our stack, optimizing code that runs directly on GPUs to maximize work per second and dollar, shrink models for cost-efficiency without sacrificing quality, and eliminate GPU idle time.

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