AI Startup Jobs

Parloa

Parloa is shaping the foundation of a new era in customer experience with agentic AI, making customer support more meaningful. As a Sr Agent Architect, you will act as a solution architect for enterprise AI Agent deployments, designing end-to-end system architectures that integrate Parloa's platform into complex enterprise environments. You will solve multi-system integration challenges and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients. The role also involves shaping the conversational experience layer using prompt engineering and LLM knowledge to translate customer requirements into agent behavior, with a strong emphasis on architecture and integration depth.

Salary not listed

Parloa

Parloa is at the forefront of a new era in customer experience, leveraging agentic AI to transform customer support into meaningful interactions. We power billions of customer interactions for global enterprise brands, making customer conversations effortless. As a Sr Agent Architect, you will be instrumental in designing and implementing end-to-end AI Agent solutions for our enterprise clients. This role focuses on architecting complex system integrations, shaping the conversational experience layer through prompt engineering and LLM knowledge, and ensuring the reliability and scalability of AI solutions within intricate enterprise environments.

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Parloa

Parloa is shaping the future of customer experience with agentic AI, powering billions of interactions for global enterprise brands. As a Sr Partner Agent Architect, you will be at the forefront of this revolution, working with strategic partners and enterprise customers to design, implement, and scale AI-driven customer experiences. This consultative, customer-facing role involves guiding clients through solution discovery, end-to-end architecture, enterprise integration, and implementation strategy for AI Agents. You will focus on architecting scalable integrations, applying systems thinking to build reliable AI solutions, and shaping the conversational experience layer through prompt engineering and LLM concepts.

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Sieve

Sieve is a multi-modal lab focused on curating high-quality training datasets across video, audio, images, text, and 3D, aiming to solve the bottleneck in the growth of AI applications. As a perception-focused Machine Learning Engineer, you will build systems that transform raw sensor footage into training data crucial for robotics and world-model teams. This role requires a strong background in computer vision, particularly in shipping perception systems for robots, devices, or autonomous vehicles, and applying these skills to massive datasets.

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This customer-facing role involves owning the end-to-end technical relationship with enterprise clients, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. You will serve as the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch, and will be comfortable collaborating with both customer IT teams and internal engineering and product teams. This is not a back-office role; you will be in front of customers regularly and are expected to travel up to 25% of the time.

$143k - $243k

Vanta

Vanta is seeking a Senior Software Engineer for its AI Developer Experience team. This role will focus on building the systems, infrastructure, and developer workflows that enhance the usefulness, reliability, and ease of adoption of AI-powered engineering for Vanta engineers. The AI DX team is developing foundational elements for a more autonomous software development experience, including background agents, agent evaluation systems, and tools to improve engineer-AI collaboration. The position involves working directly with engineers to identify workflow challenges, build practical solutions, and use usage data to continuously improve quality and reliability.

$195k - $229k

OpenSpace is redefining how complex projects are built using an AI-powered Visual Intelligence Platform that leverages computer vision and spatial AI to provide construction teams with a real-time view of on-site activities. This role focuses on owning core algorithms for mapping, localization, image analysis, and 3D reconstruction using real-world construction site data. The position integrates advanced computer vision with modern machine learning methodologies, utilizing classical CV, deep learning (including transformers and multi-modal models), and probabilistic modeling to deliver meaningful customer insights.

CA$168k - CA$220k

Ultra is seeking a Product Engineer, AI Enablement to develop and deploy internal tools that enhance AI utilization across the company. This role involves collaborating with various teams to identify AI opportunities, build reliable internal tools and workflows, and ensure their adoption. You will be part of the Software team, focusing on both the software development lifecycle for AI tools (coding agents, reviews, testing) and empowering non-engineering colleagues with AI-driven automations. The position is production-oriented, requiring evaluation of commercial tools, development of custom solutions, and measurement of impact and adoption. This is an in-person role in NYC, offering direct visibility into Ultra's operations.

$150k - $225k

We are building AI that changes how people capture, understand, and act on conversations and meetings. As Director of AI Research, you will lead research and development across automatic speech recognition (ASR), speaker identification (SID), large language models (LLMs), and audio language models. Your work will shape our AI capabilities, product direction, and long-term research strategy. This is a hands-on leadership role for someone who combines research depth with experience building and deploying AI systems at scale. You will set technical priorities, guide model and infrastructure decisions, and work directly with the team on challenging research and engineering problems. Partnering closely with Product, Engineering, and Data teams, you will turn research advances into reliable product capabilities. You will also build the team, experimentation practices, and technical foundation needed to move quickly while maintaining high standards for quality and performance.

$244k - $313k

Turing

Turing is seeking a Senior Software Engineer to join their AI Evaluation Infrastructure team. This role focuses on building the core infrastructure that frontier AI labs use to evaluate coding agents and language models. You will be responsible for designing and implementing features across the entire stack, from data models and background jobs to user-facing interfaces. The ideal candidate is an experienced, independent engineer who can translate loosely defined requests into robust, tested, and reliable solutions. This position offers the opportunity to work on cutting-edge AI evaluation tools and contribute to the advancement of AI capabilities.

$170k - $200k

Turing

Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. This role requires hands-on software engineering and operational ownership, with a focus on building production software and contributing deeply to platform services.

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Turing

Turing is seeking a Senior Full-Stack Engineer to join their team in Mumbai, India. This hybrid role involves building and supporting enterprise AI systems and applications for clients, particularly in asset management. You will take ownership of complex features from design through deployment and production support, working across the Python backend, React frontend, APIs, integrations, and database layers. The role emphasizes hands-on engineering, independent judgment, and the use of AI-enhanced development tools like Claude and Codex, with a strong focus on delivering maintainable and production-ready software.

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Tenstorrent is seeking a Field Application Engineer to act as a technical liaison between the company and its customers throughout Southeast Asia. Based in Singapore, this role involves understanding customer AI and machine learning workloads, guiding technical evaluations and deployments, and resolving hardware and software issues to ensure customers maximize the performance of Tenstorrent's AI platforms. This is a customer-facing position requiring hands-on technical problem-solving, solution development, and regional relationship management, with regular travel across Southeast Asia. The role is remote and based out of Singapore, and the company is open to candidates at various experience levels.

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Photoroom is seeking a Product ML Engineer to join one of its product experience teams. This role focuses on owning the machine learning aspects of short, high-impact projects with clear product outcomes. You will be responsible for the entire ML project lifecycle, from problem framing and approach selection to shipping, measuring, and iterating on features in production. The emphasis is on pragmatic, fast-paced development and delivering customer value, rather than pure research. You will work closely with product teams, leverage shared ML infrastructure, and stay connected to user feedback to drive product improvements.

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Together AI

At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This role is for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.

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Parloa

As a Finance Systems Intern, you will contribute to the operation and enhancement of Parloa's quote-to-cash systems, which manage enterprise contracts. You will gain practical experience with systems like SAP Subscription Billing, NetSuite, and Salesforce, learning how signed agreements translate into accurate subscriptions and invoices. This full-time, 6-month internship in Berlin offers hands-on experience with a modern quote-to-cash technology stack within a rapidly growing AI company. You will have the opportunity to take a personal automation project from conception to completion, presenting your work at the end of the internship.

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sarvam

Sarvam is building Indic-language AI for large-scale use, and the CPU Infrastructure team is responsible for all systems outside the GPU fleet. This includes managing Kubernetes across multiple cloud providers, the network infrastructure, identity and access management, observability, cost optimization, and the product delivery pipeline. The team operates on an end-to-end ownership model, where engineers are empowered to automate repetitive manual tasks by building scripts, pipelines, bots, or AI agents. As an AI company, Sarvam integrates AI agents into its own operations for tasks like planning infrastructure changes, triaging alerts, and handling routine issues, with engineers providing oversight. In this role, you will ensure the smooth operation of Sarvam's product infrastructure, handling daily tasks such as deployments, provisioning, access control, incident response, and cost management. A key expectation is to automate these operational duties. The ideal candidate possesses an instinct for identifying manual processes and building automated solutions, whether through scripts, pipeline steps, bots, or AI agents. As you reduce operational toil, your focus will shift towards platform and automation development. You will contribute to the infrastructure supporting a variety of AI products, including voice agents, coding agents, and API platforms.

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Turing

Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role operates with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will own outcomes end-to-end, from identifying high-value customer problems and shaping architecture to building production systems and collaborating directly with senior client leaders. This is an intellectually challenging role focused on developing generative AI solutions that drive measurable impact and ROI within large institutions.

$200k - $250k

Momentic is seeking a hands-on AI Engineer to join their engineering team and collaborate closely with the CTO. This role focuses on enhancing the AI models and agents that power Momentic's AI-native testing platform. You will be instrumental in fine-tuning models, developing robust evaluation strategies, and transforming production data into more reliable and efficient AI agents. Your work will have a direct and significant impact, as Momentic processes over a million tests daily and billions of tokens per hour.

$175k - $250k

Turing

Turing builds the training and evaluation data that powers the world's leading frontier AI labs. As these labs push the boundaries of AI, they rely on us to assess their newest models against benchmark datasets, identify failure points, and determine what data will improve their capabilities. As a Field Engineer, AI Labs, you will be the technical representative of Turing to these frontier research teams, operating at the intersection of client-facing solutions engineering and hands-on AI evaluation. You will connect new model endpoints, execute comprehensive evaluations across Turing's datasets, synthesize performance metrics into actionable insights, and present these findings directly to client researchers and technical leaders. This is a high-velocity, high-agency role for a technically adept individual who excels at customer interaction, running benchmarks against model APIs, and ensuring precise data delivery.

$175k - $232k

Turing

Turing is seeking a Strategic Project Lead for their software engineering data programs. In this role, you will be responsible for the production system that generates high-quality datasets, reinforcement learning environments, and research benchmarks for frontier AI labs. You will translate complex research requirements into predictable delivery, managing aspects like quality, throughput, contributor performance, timelines, and cost. This is an operations leadership position with a technical component, requiring you to understand code, tests, and quality signals to optimize workflows and rubrics. Your primary goal is to build and operate a system that consistently produces high-quality technical work at scale.

$120k - $200k

Turing

Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $400k

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k

Turing

Turing is seeking Research Engineers to advance the understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k