PostgreSQL Jobs

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant Series B funding, the company is rapidly growing and developing new products. The LangSmith team specifically focuses on building the core platform for observability, evaluation, and production reliability of AI systems, including tracing, annotation, run rules, and evaluations. This role offers the opportunity to shape the technical direction of the LangSmith platform, working closely with enterprise customers and internal stakeholders.

$175k - $240k

Physical Intelligence is seeking an AI Productivity Software Engineer to build and deploy tools that enhance AI utilization across the company. This role involves collaborating with various teams, including engineering, research, and operations, to identify opportunities for AI-driven leverage and translate them into robust internal tools and workflows. The position is within the Runtime team, focusing on AI tooling to make AI agents, assistants, integrations, and automation effective for company-wide use. The goal is to deeply understand team workflows, build tailored tools, and drive their adoption to become integral to the company's operational rhythm.

Replit

Replit is seeking a Staff Software Engineer to join the Product Platform team, specifically focusing on Identity & Authorization. This role is crucial for building and operating the systems that protect critical interactions across Replit's platform, including how people, agents, sandboxes, and services prove their identity and permissions. The work is high-leverage, ensuring that clear, reliable, and easy-to-adopt identity and policy systems enable all other teams to move faster and more securely. The team values curiosity, clear thinking, and collaborative, open work, prioritizing reasoning and building skills.

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, nurturing a world-class engineering team, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems with confidence. You will play a key part in shaping the future of AI observability at production scale and contribute to a company that is making intelligent agents ubiquitous.

$200k - $240k

Perplexity is building the foundations for agentic AI, transforming knowledge into action for millions of users. The Agent Capabilities team is at the forefront of AI research and product innovation, responsible for translating frontier AI breakthroughs into reusable product capabilities. This role offers broad ownership at the intersection of AI research, agent systems, platform engineering, and product innovation, allowing you to evaluate emerging models, identify user value, and build reliable, scalable experiences for users and agents.

Cloudforce One is Cloudflare’s threat operations and research team, focused on identifying and disrupting cyber threats, from criminal activity to nation-state sponsored APTs. The team collaborates with external organizations and internal Cloudflare teams to develop operational tradecraft and expand threat intelligence sources for expedited threat hunting and remediation. Leveraging data from one of the world’s largest global networks, team members analyze unique data points at scale to synthesize actionable threat intelligence and protect customers. As a Software Engineer on this team, you will manage the full software development lifecycle for systems supporting threat disruption and legal response. This involves translating complex legal and security requirements into robust, scalable, and high-performance applications that enhance internet safety and power.

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 Staff or Senior Staff Software Engineer to join our Product Engineering team. This role offers a unique opportunity to lead engineering projects across multiple product lines, working closely with AI, Legal, and Go-to-Market teams to build secure, value-driven customer systems. You will contribute to both the user-facing applications and the underlying agentic capabilities that power our genAI products, shaping the future of application layer and generative AI solutions.

$231k - $340k

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 Staff or Senior Staff Software Engineer for our Product Engineering team to own and lead engineering projects across multiple teams and product lines. You will collaborate closely with AI, Legal, and Go-to-Market teams to build secure, value-driven systems. This role offers a unique opportunity to build the future of application layer and generative AI products, including user-facing interfaces and the underlying agentic capabilities that power them.

$231k - $340k

Cloudflare is seeking a Senior Distributed Systems Engineer to join the Cache team. This team builds and operates the high-performance reverse proxy and caching data plane at Cloudflare's edge, built on Pingora, Cloudflare's open-source Rust framework. The role involves working on backend routing, load balancing, cache storage, globally distributed purge, Tiered Cache routing, and production observability. You will design, implement, test, roll out, and operate these systems, ensuring performance, correctness, and resilience across Cloudflare's global network. This position is ideal for individuals who enjoy tackling complex problems related to latency, correctness, and reliability in large-scale distributed systems.

$194k - $266k

SpaceXAI is building AI systems to understand the universe and aid humanity. The team is small, highly motivated, and focused on engineering excellence, operating with a flat structure where all employees are hands-on and contribute directly to the mission. This role requires strong communication skills and the ability to share knowledge concisely. The ideal candidate will have a good understanding of building highly scalable and reliable production infrastructure, with familiarity in compiled languages like Rust, C++, or Go being highly beneficial.

£107k - £262k

LangChain is seeking a Senior Backend Engineer to join the Enterprise Readiness team, specifically on the billing and monetization pod. This role will be instrumental in rebuilding and scaling the systems responsible for pricing and billing usage across all LangChain products. The goal is to transform the current billing pipeline into a flexible, self-serve platform that enables any team at LangChain to launch new pricing models rapidly, reducing the time from weeks to days. This is a high-impact, newly formed role where you will partner closely with product management and engineering teams to define the architecture for fast, flexible, and accurate pricing at scale, including complex usage-based and token-based models for AI products.

$175k - $240k

The CNI team builds and operates systems that enable Cloudflare's enterprise customers to connect their networks directly to Cloudflare via private, dedicated interconnects. This product, Cloudflare Network Interconnect (CNI), supports various interconnect types across hundreds of global locations and is foundational to key services like Magic Transit, Cloudflare WAN, Zero Trust, and application security for major clients. As a member of this team, you will develop and enhance the systems responsible for provisioning, monitoring, and orchestrating these private network interconnects at scale. You will collaborate with Product Management, Network Engineering, and Infrastructure teams on significant initiatives to integrate enterprise customers directly into Cloudflare's global network.

At Cloudflare, we are building industrial-scale AI agents that directly support customers, moving beyond research to power real customer interactions globally from day one. This role involves assembling existing Cloudflare technologies like Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into functional agents. The primary goal is to ship production agents on the Cloudflare stack, iterating quickly through building, deploying, and learning. Your code will be the primary interface for Cloudflare customers, directly impacting their experience.

Cloudflare is seeking an experienced Data Engineer to join their Austin team. This role involves scaling the development of internal data products, building data-driven applications that empower various teams across the company, including go-to-market, engineering, and product. As the team initiates and owns its products, you will be involved end-to-end, from shaping requirements and designing features to implementation and long-term ownership. You will work on building scalable, reliable systems that solve critical business problems, partnering closely with full-stack engineers to develop new features and operate data pipelines and services. The role offers opportunities to work with a diverse stack including Go, Scala, and ClickHouse, and to build sophisticated, AI-ready data layers using tools like vector databases and Workers AI.

The Data Intelligence & Analytics organization builds core data platforms and internal products that drive company-wide decision-making. We design and operate large-scale data systems, manage the company's data lake and ingestion infrastructure, and develop end-to-end applications transforming complex datasets into reliable business-critical products. This role sits at the intersection of data platforms, distributed systems, and product development, offering opportunities to own problems across the stack, build specialized data solutions for predictive modeling and machine learning, and construct systems that run the business. We are seeking an experienced Data Engineer to join our Bengaluru team to scale the development of internal data products. You will build data-driven applications empowering go-to-market, engineering, and product teams, with end-to-end involvement from requirements shaping to long-term ownership. You will work on scalable, reliable systems solving critical business problems, partnering with full-stack engineers to develop new features and operate data pipelines and services. Our stack includes Go, Scala, and ClickHouse, and we are incorporating AI components, vector databases, MCP-based services, and Workers AI.

OpenAI

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: - Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) - Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions - Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration - Optimize internal applications for usability, speed, and scale to increase team velocity and reduce time-to-fix for safety issues - Transform successful AI assisted safety workflows into external facing safety products, that empowers developers to build safer AI, uplift the industry standard for AI safety, and prepare the world for more capable AGI. You might thrive in this role if you: - Have 5+ years of relevant engineering experience at tech and product-driven companies - Are proficient with JavaScript, React, and other web technologies - Are proficient with at least one backend language (we use Python) - Have experience with relational databases like Postgres/MySQL - Have an interest in AI/ML (direct experience not required) - Are excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of OpenAI’s models About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.  We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Mercor is seeking a strong engineer to build scalable agentic products. You will work on a variety of teams focused on automating operational work, developing evaluation systems for RL environments, and building the infrastructure for producing frontier data. This role involves end-to-end ownership of agentic features, from initial scoping and design through implementation, launch, and iteration. You will collaborate with researchers, operators, and AI companies at the forefront of AI advancement, contributing to the development of systems that are redefining society.

As a Software Engineer on the Marketplace team, you will own the core systems that bring human intelligence to AI opportunities. You'll work on search, matching, allocation, and workflow infrastructure at the heart of the marketplace, where systems deliver the world's top experts to staff cutting-edge projects. The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance. This role sits on a core decision layer of the product, and your work will directly shape how the marketplace operates, including which opportunities get filled, how quickly hiring happens, and how reliably the system scales as volume and complexity increase.

Runpod is seeking a Forward Deployed Engineer to join their Revenue Team and support the growth of their AI Developer Cloud platform. This role focuses on providing technical insights, resolving customer challenges, and building trust to ensure a seamless and delightful Runpod experience. You will work closely with customers, sales, product, engineering, and support teams to enhance customer satisfaction and drive product improvements. The ideal candidate combines technical expertise with strong communication skills to address technical challenges, guide onboarding, and collaborate across functions.

$100k - $180k

Mercor is seeking a Member of Technical Staff to join their Enterprise Platform team. This role is crucial for building and running complex agents used by enterprise customers and internal Applied AI engineers. You will work across the full stack, focusing on enterprise-grade security, routing, isolated execution, and the intelligence plane that drives improvements. This is a pure platform and infrastructure engineering position, with the opportunity to shape the future of agent platforms in a production environment. You will collaborate closely with Applied AI engineers, owning the platform that bounds the business's offerings.