AWS Jobs

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Software Engineer, Infrastructure, you will be responsible for designing, building, and maintaining the core systems that power our AI platform. Your focus will be on ensuring Sierra's infrastructure is secure, reliable, and scalable, empowering product teams to deliver with speed and confidence.

Scale AI

Scale is accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution, interfacing directly with clients to build cutting-edge products using proprietary research and resources. As an Applied AI Engineer, you will work with clients to create ML solutions to satisfy their business needs, ranging from AI cybersecurity firewalls to transformative AI experiences in journalism and applying foundation genomic models. Daily data-driven experiments will provide key insights to improve product performance, and you will have the opportunity to shape the future of the modern AI movement.

Decagon is seeking a founding Platform Engineer, Security to design, build, and operate the security infrastructure for its leading conversational AI platform. This is a hands-on builder role focused on creating durable, well-engineered systems, including paved paths for secure service creation, automated security tooling, and infrastructure-as-code. As the first dedicated engineer in this area, you will have a significant impact on shaping the technical direction of the infrastructure security program and investing in automation, observability, and self-service. The work is closely tied to the business, directly enabling high-value deals with security-conscious enterprises.

$200k - $400k

LangChain is seeking a Deployed Engineer to join their team, focusing on making intelligent agents ubiquitous. This role involves working on challenging applied AI problems, building production systems that real teams depend on, and directly shaping how AI agents are developed and deployed in the real world. The feedback loop is fast, the impact is visible, and the work contributes to the evolution of AI agent technology.

$165k - $380k

LangChain is seeking a Deployed Engineer to join their team, focusing on making intelligent agents ubiquitous. This role involves working directly with companies to build and run AI agents in production, transforming prototypes into reliable systems. You will tackle complex applied AI challenges, contributing to systems that real teams depend on, with a fast feedback loop and visible impact. Your work will directly shape how AI agents are built and adopted in the real world, bridging the gap between engineering, product, and go-to-market strategies.

$165k - $380k

LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work on challenging applied AI problems, with a fast feedback loop and visible impact, directly shaping the future of AI agents in the real world. The Deployed Engineering team partners closely with customer engineers throughout the entire lifecycle, from pre-sales to post-deployment, ensuring technical success and reliable operation of agents at scale using the LangChain suite.

$165k - $380k

Perplexity is seeking a growth engineer to join their team and own product loops that drive user discovery, adoption, and habit formation around their AI experiences. This role involves working across the entire user funnel, from activation and onboarding to retention and paid upgrades, while also developing applied AI systems to enhance these experiences. Engineers will manage end-to-end projects, including training and deploying classifiers to identify high-intent users, personalizing value discovery, and integrating new AI capabilities to achieve measurable adoption and revenue outcomes. The growth team collaborates closely with product, design, data science, and applied AI teams, translating behavioral signals and model outputs into robust product surfaces. This position offers the opportunity to move fast, run numerous experiments concurrently, and take full ownership of outcomes in a fast-growing startup environment.

Scale AI

As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP). We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives—from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP’s architectural complexities into clear execution strategies, unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment.

$211k - $264k

The Cloud Infrastructure team is responsible for the foundational cloud primitives and deployment models that power Perplexity's products. This includes multi-tenant public cloud solutions as well as single-tenant and on-premises options for enterprise clients. As Perplexity expands its Computer and Enterprise products, this team will build and manage the security, isolation, and compliance layers essential for customer trust. They provide the deployment topologies, multi-region infrastructure, and core services that ensure Perplexity operates reliably and efficiently for both consumer traffic and large enterprises.

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams of Applied AI Engineers to ensure successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, and collaborating with research, product, and engineering teams to shape future offerings. The position bridges the gap between AI research and real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's vision.

Scale AI

We are seeking a skilled DevOps Engineer to manage our cloud infrastructure, specifically for AI training and inference workloads. This role will involve working with major cloud providers and utilizing containerization and infrastructure-as-code tools to ensure efficient and scalable operations.

$145k - $195k

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are seeking a Trust Engineer to be the engineering backbone of our compliance and assurance programs. In this role, you will report to the Head of Trust and be responsible for building and owning the data infrastructure, automation tooling, and AI-powered workflows that enable our Trust team to scale audit readiness, continuous monitoring, and risk reporting. This involves selecting compliance automation platforms, building a compliance data layer, and developing AI-powered workflows for automated evidence collection, control testing, and assurance reporting.

$220k - $330k

Harvey

Harvey is transforming legal and professional services by integrating frontier agentic AI with an enterprise-grade platform. We are seeking a Staff Technical Program Manager, Platform & Infrastructure to lead critical scaling initiatives. This role involves acting as the central point of contact across Core Infrastructure, Backend Platform, and product engineering teams, as well as cross-functional departments like Security and Finance. You will be responsible for multi-quarter horizontal programs focused on cloud migrations, cost optimization, capacity planning, BYOC, and building foundational internal platform elements. The position requires deep technical engagement with senior engineers, aligning leadership on long-term plans, and driving programs from initial concept to successful delivery.

$188k - $278k

LangChain is seeking its first Federal Partner Alliances Lead for the US to own the systems integrator and consulting partner ecosystem within the US Federal market. This senior individual contributor role will build and drive the federal partner strategy from the ground up, focusing on establishing deep, revenue-generating relationships with major Federal Systems Integrators (FSIs) and specialized boutique partners. The ideal candidate is an operator who thrives in a fast-growing startup environment, understands the nuances of developer tools and enterprise AI within federal compliance, and has a proven track record of driving revenue through partner channels. This role is part of the GTM organization and will collaborate closely with field sellers, customer engineering, and product leaders to integrate LangChain into partner delivery practices and solution portfolios for federal AI programs.

$190k - $270k

Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack AI platform across research, models, infrastructure, and applications. We partner with leading enterprises and public institutions, backed by prominent venture capital firms. We are hiring a Backend Engineer to work on our Studio media platform, which includes AI dubbing, live translation, and foundational services for voice cloning, stem separation, lip sync, and music generation. You will build and maintain production services, ML pipeline libraries, and platform SDKs to enable multilingual media processing at scale for our enterprise customers and Studio users.

OpenAI

We are seeking a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership, including Solutions Architects, Specialists, and Partner teams. This role is pivotal in shaping strategy, defining engagement models, and building scalable systems that impact AWS globally. You will work across pre- and post-sales cycles, guiding complex enterprise customers from initial ideation through to production deployment, while also enabling AWS and their partners to independently drive deployments. Your expertise will be crucial in maximizing impact across a portfolio of high-priority opportunities by combining deep technical knowledge, strong judgment, and ecosystem leadership.

Mercor is seeking a Machine Learning Engineer to build and enhance the ML systems powering their Frontier Data Products. This role is crucial for scoring, validating, and improving complex work products where correctness is nuanced and labels are imperfect. You will design evaluation frameworks for ambiguous tasks, build feedback loops to improve models, and own production ML behavior end-to-end, considering tradeoffs in precision, recall, latency, and cost. This is an applied ML product engineering role with real production constraints, focusing on shipping ML systems that directly impact product and business metrics.

Mistral AI

Mistral AI is seeking a founding engineer for its Applied AI Site Reliability Engineering (SRE) sub-team. This role is crucial for building and operating a framework that ensures the reliability and sustainability of Mistral's AI solutions across all customer accounts, whether hosted by Mistral or the customer. You will operate in four key modes: BUILD (designing for a fleet of platforms, proactive reliability, authoring runbooks, implementing observability), RUN (operating Tier-1 customer environments, ensuring SLO compliance, managing incidents), ENABLE (productizing deployment, security, and scaling of Applied AI solutions), and SECURE (owning security operations, leading CVE response, and implementing supply-chain integrity controls). This is a framework-first, fleet management role focused on structurally solving problems for all customers, not just individual ones. The team values people and outputs, direct feedback, low ego, and high standards in a fast-paced, unstructured environment.

Scale AI

Scale AI is seeking a Backend Engineer to join their team and build the core infrastructure for large-scale GenAI systems. This role involves designing and implementing scalable APIs, distributed data systems, and robust deployment pipelines to ensure production-grade reliability and performance for enterprise AI products. You will be instrumental in shaping how AI systems are deployed and scaled in the real world, working at the forefront of the GenAI revolution and solving complex backend and infrastructure challenges. This is an opportunity to contribute to cutting-edge solutions that transform workflows and drive efficiency for major enterprises.