AI Engineer Jobs at Startups

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. The Applied Research team focuses on enhancing the quality, speed, and cost-efficiency of AI agents. This involves advancing post-training techniques for open-weight models, pioneering new approaches in voice AI, and translating research breakthroughs into robust production systems. The role involves tackling complex AI and ML challenges, building agents capable of reasoning and executing intricate tasks, and determining the optimal balance between custom models and external intelligence to maximize customer value.

Salary not listed

Hebbia is seeking a Front-End Engineer to join the Agents team, focusing on building the user interface for universal knowledge capture. This role involves creating simple, delightful experiences for users to direct long-running agents, review citations, and iterate on key deliverables. You will translate new agentic capabilities from the research team into polished web and iOS interfaces. Engineers are empowered to own features end-to-end, including building necessary backend components like new endpoints, streaming APIs, or custom tools. The position requires deep expertise in modern web front-end engineering, strong product sense, and comfort with backend development when needed. Experience with iOS development is highly valued as the team expands its mobile presence. You will collaborate closely with applied researchers and infrastructure engineers, understanding the full system from model calls to UI.

$160k - $300k

Credal.ai

Credal is seeking a founding web full-stack software engineer to help build a scalable, performant architecture while maintaining industry-leading security. This role involves owning aspects of stability, scalability, and security, ensuring reliable syncing of billions of records, and contributing to architecture and code quality. You will engage directly with customers to solve complex problems, mentor junior engineers, and take end-to-end ownership of core products. The ideal candidate is a versatile software engineer comfortable across the full stack, excited about Agentic AI/LLM applications, and possesses strong software engineering fundamentals.

$190k - $250k

Parameter

Full time • San Francisco, CA • $180K – $240K • 2 openings Parameter builds AI agents that do offensive security work. Our agents run autonomous penetration tests against production applications and cloud environments, finding IDORs, broken access control, XSS, and infrastructure misconfigurations that scanners miss and that human pentest firms only look for once or twice a year. We are not a theoretical security company. Our team has responsibly disclosed real, high-severity vulnerabilities to well-known technology companies, and our findings are the front door to most of our customer relationships. You'll build the agent systems that do the actual hacking. That means designing the reasoning loops, tool interfaces, and memory architecture that let an LLM behave like a competent offensive security researcher rather than a fuzzer with good manners. The title points at where you'll spend most of your time. Expect the rest of the week to go wherever the work is: agent systems one day, the product the next, a customer call or a report that has to go out after that. We are small enough that everyone works across every product, and we hire people who want that. What you'll do - Design and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chains - Build the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generation - Own the eval loop. We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go up - Reduce false positives, which is the single hardest problem in this space and the thing customers care most about - Manage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and Bedrock What we're looking for - 3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos) - Strong TypeScript. Comfortable with async, distributed systems, and long-running workflow orchestration - Real intuition for context engineering, tool design, and why agents fail in the wild - You measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behavior - Bonus: security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to break Interview process - Intro call with a founder (30 minutes) - Technical deep dive on your past work (60 minutes) - Paid work trial or take-home, scoped to roughly one day - Onsite in San Francisco with the team - References and offer Stack TypeScript · LangGraph · Temporal · GCP · AWS Bedrock · Anthropic API · Langfuse · Braintrust · GitHub Actions · Linear · Graphite We move quickly. Our target is an offer within two weeks of first contact. Small team, high trust, extremely fast. If you want to see your work in front of customers within days, this is that. This role is onsite in San Francisco. You must be authorized to work in the US; we are not able to sponsor visas at this time.

$180k - $240k

Tenstorrent is seeking a Field Application Engineer with a strong background in AI/ML to join their team. This customer-facing role involves collaborating closely with sales and enterprise clients to drive the adoption of Tenstorrent's cutting-edge AI hardware and software solutions. You will leverage your deep technical expertise to understand customer challenges, provide effective solutions, and act as a bridge between customers and product teams, influencing future product development. The ideal candidate is passionate about generative models and LLMs, and excels at communicating complex technical concepts to diverse audiences.

Salary not listed

As a Junior Full-Stack Engineer at Escape, you will play a crucial role in shaping the core of our AI-powered cybersecurity products. Working closely with senior engineers and technical leads, you will deliver features and improvements across the entire product. This is an excellent opportunity for an early-career engineer to gain hands-on experience in AI-driven security, work across both frontend and backend development, and witness the direct impact of your contributions in production.

€0k - €0k

Gigi is an agentic operating system for enterprise media buying, with its first product being an AI media manager for Amazon DSP. Since its launch, the company has grown significantly, managing substantial advertising spend for major agencies and securing backing from prominent venture investors. The founding team brings extensive experience in Amazon Ads and e-commerce, including a prior successful exit. We are seeking an AI Ads Product Builder/FDE to join our engineering team in Toronto. This role blends advertising domain knowledge, hands-on software development, and client service to build and deploy AI-powered products, workflows, and integrations within Gigi. As a Forward Deployed Engineer, you will collaborate directly with agency leaders and ads managers, working on the solutions they use daily. While not requiring deep AI research or extensive LLM experience, this is a hands-on software engineering position focused on understanding advertising business needs and translating them into functional software. You will be comfortable explaining technical concepts to non-technical stakeholders and utilizing tools like Codex, Claude Code, and Cursor as part of your development process, contributing to agent logic, backend services, data, and the customer-facing product.

$110k - $200k

d-Matrix

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate individuals driven by execution to join us in shaping the future of AI. As a Staff-level individual contributor on the Software Infrastructure team, you will drive the automation for our CI/CD and release pipeline. This involves diagnosing and fixing pipeline failures, such as identifying real regressions, flaky hardware, or infrastructure issues, and pinpointing the exact merge that caused overnight test failures. You will blend AI techniques with traditional software automation to build highly reliable systems and architect compute and storage solutions across cloud and on-prem environments. Your role will involve partnering with various teams to develop and spread best practices, reducing developer toil and accelerating development velocity.

$155k - $235k

Tenstorrent is seeking a Workload Performance Analysis Engineer to optimize the performance of next-generation RISC-V CPUs for modern datacenter and agentic AI workloads. This role bridges hardware and software, focusing on bringing real-world applications to RISC-V platforms, analyzing their behavior, and identifying opportunities for improved CPU performance, efficiency, and scalability. You will collaborate with CPU architects, designers, and software engineers to understand how demanding workloads interact with the CPU and translate these insights into architectural enhancements. Your work will directly impact CPU architecture and performance across cloud, enterprise, and emerging AI workloads.

$100k - $500k

Escape is seeking a Senior Full-Stack Engineer to join their AI Cybersecurity team. This role is central to the company's product, focusing on owning and evolving the core data model that represents attack surfaces and AI-learned insights. You will be responsible for translating offensive AI research into tangible product features, accessible through a Svelte frontend and GraphQL API. This position offers a high-leverage opportunity to influence technical direction and directly impact what customers see, with a clear path towards technical leadership.

€75k - €90k

HUD is seeking a Product Engineer to transform significant product challenges into tangible user experiences across its AI data platform and marketplace. This role involves collaborating with product, design, engineering, research, and go-to-market teams to identify user pain points in AI data creation and training, define product improvements, and develop solutions. The position blends product strategy, interaction design, and full-stack development, requiring the ability to translate complex technical workflows into clear and user-friendly interfaces while retaining necessary detail.

$100k - $225k

Tennr

Tennr is seeking a high-agency Senior Backend Engineer to connect advanced ML research with practical product delivery. You will architect and develop agentic workflows designed to tackle complex healthcare processes, addressing infrastructure, workflow, and user experience challenges within the U.S. healthcare system. This role involves constructing data pipelines, evaluation frameworks, and scalable, production-ready agentic systems. You will be tasked with identifying and implementing the most suitable tools and models for each specific workflow, ensuring optimal technology utilization.

$190k - $215k

Handshake is seeking a Member of Technical Staff to join their AI Engineering team. This role is crucial for building and improving the data systems that power frontier model training. You will be responsible for enhancing how Handshake generates, processes, and prepares complex and sensitive data, including creating high-quality synthetic data and anonymizing acquired data while preserving its value. You will collaborate with researchers, domain experts, legal teams, and customers to transform data-related challenges into experiments, pipelines, and products, influencing the company's technical direction and culture.

$200k - $350k

LangChain is seeking an experienced frontend engineer to develop and enhance new features on LangSmith, their enterprise platform for LLM application observability, testing, and debugging. This role is crucial for building the foundation of agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. The LangSmith team owns and builds the core platform for observability, evaluation, and production reliability of AI systems, from tracing and annotation to run rules and evaluations.

$170k - $235k

Tenstorrent is seeking a Physical Design Engineer to lead cross-functional efforts in solving complex physical design challenges and developing end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role, and offers will align with the assessed level.

$100k - $500k

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. We are looking for strong full-stack engineers across multiple levels to join our team and help us build innovative and elegant web applications and cloud services that deliver the power of Generative AI to our customers.

$210k - $240k

Perplexity AI

This role is for experienced software engineers looking to build AI-powered products. You will own user-facing surfaces end-to-end, from interaction design and frontend development to application logic, APIs, data models, and the underlying search or model calls. The team continuously ships to production, with new engineers often having code in front of users within their first week. You will leverage AI, including agents and coding models, as primary tools to accelerate development and improve product quality, focusing on reliability, latency, and craft. This is a full-stack position that suits individuals who enjoy building and have the autonomy to do so, with a focus on turning ambiguous product ideas into working prototypes and iterating based on usage data and evaluations.

$180k - $270k

Arize AI

Arize AI is seeking an AI Education Engineer focused on developer growth to join their product team. This role is part of developer advocacy, connecting the product with the AI Engineer ecosystem. The ideal candidate will have an entrepreneurial mindset and a passion for growing the developer community through code, education, content, and hackathons. You will collaborate with engineers, product managers, and marketing professionals to build the next generation of AI systems, including agents, assistants, and LLM applications.

$100k - $175k

Together AI

Together AI is seeking a full-stack engineer to join their Product Engineering team. This role focuses on enhancing the developer experience across their AI platform, including surfaces like Playground, Model Garden, and Fine-Tuning. The ideal candidate is motivated by shipping impactful features that users value, working across the entire product lifecycle from data models to user interfaces. This is a high-ownership position on a fast-moving team where individual contributions are highly visible and directly influence product direction.

$160k - $230k

Arize AI

Arize AI is seeking an Applied AI Engineer focused on developer growth to join their product team. This role is ideal for individuals with an entrepreneurial mindset who are passionate about growing the developer community through code, education, content, and hackathons. You will work with a team of engineers, product managers, and marketers experienced in building next-generation AI systems, including agents, assistants, and LLM applications. The position connects product strategy with the AI engineer ecosystem, aiming to empower AI engineers to ship high-performing, reliable agents and applications.

$100k - $175k

Together AI

Together is seeking a Senior Product Engineer to join their central Product Engineering team, working closely with the Commerce engineering team. You will be responsible for the product UI for Together AI's critical user flows, including enterprise spend controls, governance, usage-based pricing, metering dashboards, payment management, and enterprise contract interfaces. This role requires a hands-on individual who can efficiently break down ambiguous tasks, deliver improvements quickly, and make pragmatic decisions to drive customer and revenue impact. You will collaborate with product, design, and backend engineers, leveraging strong product judgment to make UX decisions within established patterns.

$160k - $230k

Together AI

At Together AI, you will be responsible for the systems and tooling that enable engineers to ship code quickly and reliably. This includes CI/CD pipelines, release infrastructure, local development environments, and testing systems. This is a build-heavy, high-leverage role where you will drive large projects end-to-end, focusing on building the infrastructure that makes manual effort unnecessary and allows engineers to concentrate on product development.

$180k - $250k

Arize AI

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life, focusing on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

$125k - $225k

Together AI

Together AI is seeking a Manager to oversee commercial relationships with international cloud compute suppliers and develop market intelligence to guide compute supply strategy. This role involves managing the entire lifecycle of international cloud service provider (CSP) contracts and renewals, conducting RFPs for new capacity, establishing global GPU cloud pricing benchmarks, and collaborating with infrastructure engineering, finance, and go-to-market teams to ensure optimal capacity and economics during rapid global GPU fleet expansion.

$190k - $220k