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AI Startup Jobs

AI Startup Jobs, page 9

Staff Software Engineer (Forward Deployed)

1y ago
I

Invisible Technologies

As a Staff Forward Deployed Engineer (FDE) at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This hybrid role combines AI engineering, software building, and technical consulting, making it ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production.

$210k - $300k

New York - Hybrid; San Francisco Bay Area - Hybrid hybrid Full-time
OpenAICohereLangChain +9 more

Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency)

12d ago
Perplexity AI

Perplexity AI

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

San Francisco onsite Full-time
PythonGoRust +3 more

Research Scientist (diffusion)

11d ago
G

Genmo

Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to pioneer cutting-edge diffusion models for text-to-video generation. This role involves creating novel architectures and algorithms to transform written descriptions into high-quality, coherent video content, pushing the boundaries of physical intelligence and enabling robots to learn and act in dynamic environments.

Salary not listed

San Francisco HQ onsite Full-time
PythonPyTorchTensorFlow +3 more

Applied Researcher - Sovereign AI

11d ago
Prime Intellect

Prime Intellect

Prime Intellect is developing an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, and high-performance training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are building open-source frontier AI models for long-horizon tasks and the platform their research team uses. The role focuses on building post-training and agent systems for national institutions, public-sector organizations, and regulated industries, addressing needs for models and agents that operate within strict boundaries for data, deployment, access, auditability, and human authority, while enabling self-improvement without external model dependency.

$150k - $300k

San Francisco remote Full-time
OpenAILangChainPython +4 more

Principal Backend Engineer (Forward Deployed)

11mo ago
I

Invisible Technologies

As a Principal Forward Deployed Engineer at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This role is a hybrid of AI engineering, software building, and technical consulting, ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production, making strong ML engineering instincts a valuable addition to architecture and leadership experience.

$250k - $300k

New York - Hybrid; San Francisco Bay Area - Hybrid hybrid Full-time
OpenAICohereLangChain +9 more

Staff Platform/Backend Engineer

1y ago
Typeface

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 Software Engineer, Platform, 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 software 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.

$210k - $240k

Palo Alto, CA hybrid
AnthropicAWSAzure +4 more

Applied Researcher - Forward-Deployed RL

11d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, and agent workflows. They are focused on open-source models trained for long-horizon tasks and the platform used to build them. The company has raised significant funding from prominent investors and is seeking individuals to work at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

San Francisco remote Full-time
OpenAILangChainPython +5 more

Senior Software Engineer (Forward Deployed)

1y ago
I

Invisible Technologies

As a Senior Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to build and deploy AI-powered solutions. You will own projects end-to-end, from scoping ambiguous problems and prototyping AI workflows to deploying scalable systems. This hybrid role combines AI engineering, software development, and technical consulting, offering a hands-on experience with models and their impact.

$180k - $264k

New York - Hybrid; San Francisco Bay Area - Hybrid +1 location hybrid Full-time
OpenAICohereLangChain +8 more

Applied Researcher - Continual Learning

11d ago
Prime Intellect

Prime Intellect

Prime Intellect is building an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding from prominent investors and is looking for individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

San Francisco remote Full-time
OpenAILangChainPython +5 more

Applied Researcher - Agentic RL

11d ago
Prime Intellect

Prime Intellect

Prime Intellect is developing an open superintelligence stack, providing infrastructure that AI labs typically build internally to ambitious AI teams. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at scale, covering SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on building open-source frontier AI models trained for long-horizon tasks and the platform their research team uses. The company has secured significant funding from prominent investors and AI leaders, and is seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

San Francisco remote Full-time
OpenAIOpen Source ModelsLangChain +6 more

Research Engineer - RL Infrastructure

12d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training/deployment for post-training at scale, including SFT, RL, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding and is looking for individuals passionate about frontier research, infrastructure, and go-to-market strategies in a nascent category.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPyTorch +7 more

Manager, Forward Deployed Engineering

13d ago
Parloa

Parloa

Parloa is at the forefront of a new era in customer experience, powered by agentic AI. We aim to make every customer conversation effortless and meaningful. As a Manager, Forward Deployed Engineering, you will lead a high-impact team responsible for strategic enterprise AI deployments. Your mission is to ensure consistent deployment excellence, predictable delivery, strong engineering quality, and rapid unblocking within complex enterprise environments, while maintaining your own technical credibility.

Salary not listed

Berlin Office; London Office; Munich Office; Remotely in Germany; Remotely in the UK remote Full-time
OpenAIAzureDocker +5 more

Software Engineer, Product

14d ago
Bretton AI

Bretton AI

Bretton AI is seeking Product Engineers to transform complex customer challenges into elegant technical solutions. In this role, you will take ownership of significant features from their initial conception through to production. You will collaborate directly with customers to deeply understand their requirements, design scalable architectures, and deliver code that demonstrably enhances compliance operations. This position offers a blend of in-depth technical work and substantial customer impact, where you will develop systems processing thousands of cases, significantly reducing time for compliance teams and directly contributing to company revenue.

$200k - $270k

San Francisco, CA onsite Full-time
PythonTypeScriptLLM +5 more

Research Intern, Frontier Speculative Decoding (Summer 2027)

14d ago
Together AI

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Their work integrates model training, inference algorithms, and serving systems, optimizing all three for reduced cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your solutions against realistic serving workloads, such as long-context and agentic traffic.

Salary not listed

San Francisco onsite Internship
Fine-TuningReinforcement LearningDeep Learning +4 more

Software Engineer, Agent Delivery

1mo ago
P

Pallet

Pallet is building AI Agents to transform the physical economy, a $12 trillion global industry. We are seeking a Software Engineer, Agent Delivery to deploy production AI agents within large supply chain companies. This role involves working directly with customer teams to understand critical workflows, design integrations, debug production systems, and implement AI-powered solutions in complex environments. You will own deployments from discovery to launch, acting at the intersection of engineering, product, and customer operations, and will spend time with customers both remotely and onsite.

$135k - $180k

San Francisco onsite
OpenAIAnthropicGoogle Cloud +4 more

SDK Engineer - Python

14d ago
Supabase

Supabase

Supabase is seeking a Python SDK Engineer to join their SDK team. This role focuses on enhancing how developers interact with Supabase through Python, ensuring the SDK is a library that Python developers genuinely enjoy using. You will work on building and evolving the Python SDK across various Supabase services, including database, auth, storage, realtime, and functions, with both synchronous and asynchronous APIs. The position involves proactive development, identifying and building missing features, and contributing to the open-source community. A key aspect of this role is owning the typing experience for the SDK, ensuring it's fully typed and checker-friendly, and maintaining compatibility across diverse Python environments and frameworks. You will also be responsible for tracking platform changes and reflecting them in the SDK, designing public APIs, and making the SDK legible to AI coding agents.

Salary not listed

Remote, Global remote Full-time
PythonAI AgentsPostgreSQL

Research Engineer - Pre-training Data

15d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPython +3 more

Research Intern, Frontier Speculative Decoding (Winter 2027)

14d ago
Together AI

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Our work spans model training, inference algorithms, and serving systems, aiming to reduce generation cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your ideas against realistic serving workloads, such as long-context and agentic traffic. Projects are designed to address key research questions in speculative decoding, leading to faster generation on frontier models, drafters that adapt to changing workloads, and robust evaluation under real traffic.

Salary not listed

San Francisco onsite Internship
LLMFine-TuningReinforcement Learning +2 more

Research Engineer - Pre-training

15d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPython +2 more

Research Engineer - Data and Evaluation

15d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPython +4 more

Technical Sourcer - Engineering

15d ago
Together AI

Together AI

This is a unique sourcing role for individuals with a prior engineering background who want to leverage their technical expertise to identify and attract top engineering talent. You will be responsible for proactive outbound sourcing of the top 1% of technical talent in key hubs, evaluating their work, and engaging them through outreach campaigns. The role requires the ability to assess technical skills by reviewing profiles and conducting in-depth technical first calls. You will report to the hiring manager on a small team and have the opportunity to influence the company's technical sourcing and evaluation strategies.

$125k - $190k

San Francisco onsite Full-time
Fine-TuningReinforcement Learning

Research Engineer - Inference

15d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPython +5 more

Research Engineer / Scientist - Reinforcement Learning

15d ago
Prime Intellect

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, from SFT and RL to tool use and agent workflows. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, and the platform our own research team uses to build them. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category. This role will focus on developing the algorithms and systems used to train our open models with reinforcement learning, with opportunities to specialize in RL algorithms, scaling research, or training frameworks.

$150k - $350k

San Francisco onsite Full-time
OpenAILangChainPython +4 more

Field Application Engineer

16d ago
T

Tenstorrent

Tenstorrent is seeking a Field Application Engineer to join our team in Tokyo, Japan. This hybrid role involves collaborating closely with sales and enterprise customers to drive the adoption of our cutting-edge AI products and solutions. You will leverage your deep technical knowledge in AI, machine learning, and generative models to understand customer challenges and provide effective solutions. This is a customer-facing position requiring strong technical expertise and excellent communication skills to bridge the gap between complex technical concepts and non-technical stakeholders.

Salary not listed

Japan hybrid Full-time
Fine-TuningPyTorchTensorFlow +3 more