Senior AI Engineering Jobs

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

ClickHouse

ClickStack is seeking an AI Product Engineer to develop agentic capabilities for their open-source observability platform. This role focuses on building AI systems that can investigate incidents, propose root causes, and provide concise summaries for on-call engineers. You will be responsible for the end-to-end agent stack, including context engineering, tool design, evaluations, tracing, and cost management, ensuring the agents function effectively in production. The position also involves making ClickStack a robust platform for running AI workloads by developing MCP servers, SDKs, and integrations, and collaborating with the open-source community.

£90k - £135k

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day. As an Azure AI Engineer - Senior Associate, you will engage in developing innovative software solutions to drive digital transformation and enhance business performance. Within our Cloud Engineering, Data & Analytics practice, you will focus on designing, coding, and testing applications that transform industries and deliver exceptional user experiences. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn’t clear. In this role at PwC Acceleration Center Mexico, you will leverage your technical experience and creative thinking to deliver innovative software products and solutions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving, allowing you to interpret data to inform insights and recommendations. Embrace the chance to grow and develop in a dynamic environment, contributing to the success of our clients and the firm.

Join us to shape the future of AI-powered solutions at JPMorganChase. You will leverage the firm’s scale, data, and technology to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Lead AI and ML Engineer, you will collaborate with talented teams in a fast-paced environment, building agents that real businesses depend on. We offer opportunities for career growth, exposure to cutting-edge platforms, and the chance to make a difference in a regulated, secure setting. As a Lead AI and ML Engineer in Digital & Platform Services / Data Analytics, you will design, productionize, and operate LLM-powered Agentic Commerce B2B agents on NEO. You will apply MLOps for automation, continuous delivery, and compliance, turning innovative ideas into shipped, production-grade agents. You’ll partner closely with business, product, data science, and engineering teams, expanding NEO’s portfolio of production agents across CIB sub-LOBs and Payments. Your work will help drive secure, auditable, and impactful AI solutions.

Code Metal

Code Metal is seeking a Lead Backend Engineer to join their Modeling & Simulation team. This role will lead the backend and data engineering team responsible for building the Python services, APIs, and data systems that power a next-generation wargaming and decision-support platform. The ideal candidate will balance people leadership with hands-on technical ownership, providing Principal-level backend engineering judgment, guiding architecture, and tackling complex technical challenges while growing a team of engineers. This platform is crucial for enabling government users to make critical multi-billion-dollar force-design decisions.

$253k - $294k

OpenAI

OpenAI Presence is building a platform for reliable AI agents designed to handle high-volume business workflows in areas like customer support, sales, and insurance claims. The platform supports the entire agent development lifecycle, including evaluation, deployment, and improvement based on real interactions. It also integrates agents with company systems and supports voice and chat experiences, incorporating policies, guardrails, and human handoffs to ensure business control. We are seeking an engineer to help establish the foundational elements of Presence and develop systems that ensure AI agents are dependable in everyday business operations. This role involves setting the platform's technical direction while remaining hands-on with coding, taking architectural concepts from initial decisions through to scalable, reliable systems.

$230k - $385k

Cerebras

Cerebras Systems is seeking an ML Research Scientist to join their Inference ML team. This role involves inventing and evaluating advanced algorithms, methods, and model architectures for efficient inference on Cerebras' flagship AI hardware. You will collaborate with researchers and engineers to design, prototype, validate, and optimize cutting-edge inference techniques, focusing on areas like speculative decoding, model pruning and compression, sparse attention, and sparsity-driven methods to achieve low-latency, high-throughput inference at scale. The position offers the opportunity to push the boundaries of AI inference and contribute to the development of the world's fastest AI accelerator.

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Measurement team within AI Evaluation, focused on building and qualifying offline scene-understanding models that measure driving performance. These models leverage greater compute, larger models, and temporal context to create credible evidence at fleet scale, contributing to the development of a generalizable AI Driver for real vehicles.

$312k - $389k

Within the Chief Data & Analytics Office (CDAO), you will accelerate the firm’s data and analytics journey by supporting high-quality, secure, and well-governed data. You will help harness artificial intelligence to improve productivity, enhance risk management, and enable new capabilities responsibly. This role sits at the intersection of strategy, product delivery, and partnership across business, technology, and control teams. As a Product Solutions Director, you are an expert in a cluster of products and the sales cycle. You will leverage your advanced capabilities to craft complex solutions, partner with Sales to identify and capture market opportunities, and create new ways for teams to continuously deliver value to customers. You will drive the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities.

Sony Interactive Entertainment (SIE) is seeking a Senior Software Engineer to join their AI & Agentic Architecture team. This role is a senior individual contributor position focused on designing and shipping agentic systems, developer tooling, and reusable platform capabilities. You will leverage multiple agentic frameworks, SDKs, and APIs, providing technical leadership and collaborating closely with engineering, security, and product teams to improve productivity across SIE. The position involves hands-on engineering to build and operate production-quality agentic applications, design Model Context Protocol (MCP) interfaces, and engineer prompts for reliable structured output.

$177k - $266k

Amplitude

The Analytics Compute Platform team at Amplitude owns the critical compute layer that powers every chart, insight, and experiment result seen by customers. This team sits between Amplitude's front-end analytics products and its proprietary analytics database, Nova, and is responsible for the compute API that translates user queries into fast, accurate answers. The core mandate is to enable a highly performant, reliable, and flexible system for computing insights, navigating the inherent tradeoffs between these goals. Day-to-day, you will collaborate closely with engineers across various product teams, including data management, marketing analytics, Session Replay, Experiment, CDP, and Query, as they are all consumers of the team's work.

$167k - $230k

Anthropic

Our team studies how large teams of agents scale to solve complex problems that a single agent cannot, such as rewriting major codebases or formalizing mathematics. We investigate the impact of increasing agent numbers, compute budget, and task length on performance, cost, and coordination. This role bridges research and engineering, involving designing and running large experiments, building the necessary systems, and analyzing surprising results. We aim to move quickly from vague questions to running experiments, developing the platform and evaluations Anthropic uses to measure and manage large agent teams.

$500k - $850k

Together AI

Together AI is seeking a Staff Platform Infrastructure Engineer to lead service and platform infrastructure strategy across the engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and define the standard for how services are built and operated. You will provide a stable, scalable service infrastructure foundation for mission-critical product and platform teams, focusing on reliability, repeatability, and ease of adoption. You will own and evolve crucial shared infrastructure, roll out new patterns and platform capabilities, and ensure services are built on company-wide foundations.

$240k - $280k

Databricks

Databricks is seeking a Senior Software Engineer for its Files team to innovate at the intersection of storage, performance, and distributed systems. This role will directly shape the company's filesystem strategy to power next-generation agentic workloads. The Filesystem has emerged as a preferred runtime interface for AI agents, serving as a foundational layer for context, memory management, artifact authoring, version control, sandboxing, and inter-system communication, thereby accelerating AI adoption.

$166k - $225k

ClickHouse

ClickHouse Labs is an applied research group focused on identifying and solving challenging problems in database systems, with a goal of advancing the state of the art and translating research into real-world system improvements. As a Research Scientist, you will tackle high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering. You will collaborate with experienced researchers and engineers on a broad range of topics, including query optimization, execution engines, distributed systems, and emerging agentic workloads, working with leading open-source systems like ClickHouse and PostgreSQL. Your work will involve investigating performance bottlenecks, developing new algorithms and system designs, and evaluating them under realistic conditions, with opportunities to publish your work and contribute to open-source projects.

$175k - $235k

Trust Wallet

Trust Wallet is seeking a Lead AI Engineer to take ownership of the backend and Agent systems for their LLM-powered products. This end-to-end role involves building Agent workflows, defining quality metrics, ensuring production reliability, and influencing future product direction. The ideal candidate has a proven track record of shipping LLM features to real users, maintaining them post-launch, and demonstrating measurable improvements through data.

The AI Cloud and Developer Productivity organization delivers and maintains the tools and services engineers use daily to enhance the entire development process, from code checkout to deployment. The AV Developer Tools team specifically owns AI-native tools and services that enable consistent and secure agentic workflows with visibility into their usage. The goal is to accelerate AV development by supporting developer workflows for performance and observability, ensuring production-level reliability and availability. This role focuses on building AI-native tools and services to improve developer productivity.

$180k - $284k

Data is central to our operations, and as a Data Scientist on our Applied AI team, you will be at the forefront of leveraging cutting-edge machine learning technologies. You will work with billions of customer records to unlock opportunities that enhance people's financial lives. This role involves partnering with a cross-functional team to deliver innovative Generative AI solutions, utilizing a broad technology stack including Python, PyTorch, LangChain, AWS, Spark, and Vector Databases. You will be responsible for building and deploying Generative AI models and pipelines, from initial concept through fine-tuning and evaluation, translating complex technical work into tangible business outcomes.

$136k - $155k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role focuses on advancing model-based autonomous driving, improving core driving performance, and developing intelligent features. You will lead critical initiatives to design and deliver ML-driven behaviors that scale from assisted to autonomous driving, working across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You will collaborate closely with AI Platform, Simulation, Robot Software, and Model Release teams to build performant, adaptable systems ready for production, while helping shape the long-term technical direction across Autonomy.

$312k - $351k

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. As a Lead Infrastructure Engineer - GenAI/AI Automation/AWS at JPMorganChase within the Consumer and Community Banking team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Cerebras

Cerebras Systems is seeking a senior software engineer to build and scale the platforms and tools used to monitor and manage its growing fleet of AI clusters across multiple data centers. This role involves owning substantial engineering work across backend services, operational tools, and user-facing applications. You will collaborate with various teams, including Cluster Operations, infrastructure, inference, security, and data center teams, to translate operational challenges into reliable, scalable software solutions. The goal is to ensure fleet health, efficient issue response, and continuous compute capacity availability.

Databricks

Databricks is seeking a dedicated Senior Engineering Manager to help grow the AI/BI Dashboard product and service platform. This role involves tackling challenging full-stack and backend problems, focusing on making agentic dashboard authoring and AI insights fast and performant while maintaining high quality. The manager will enable the creation and consumption of Dashboards and BI features across the entire Databricks platform and scale the service to a significantly larger user base. A key aspect of this role is applying AI and LLM technology directly into the product surface and guiding the team to balance quality with performance and cost.

$229k - $314k

Wayve is seeking a founding Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team. This role focuses on building foundation models for general-purpose robots beyond self-driving vehicles, creating intelligent agents capable of perceiving, reasoning, moving, and manipulating the physical world across diverse embodiments. You will play a senior, high-impact role in defining the research agenda, technical strategy, and foundations of a new robotics program. The work involves the entire robot-learning stack, from scalable data flywheels and new model architectures to training large models, designing evaluations, and deploying policies on real robots. You will collaborate with researchers, ML engineers, and roboticists to advance ambitious ideas from research hypotheses to large-scale experiments and real-world capabilities.

$370k - $513k

Wayve is building the AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Performance Architecture team, which focuses on making Wayve's AI workloads faster and more efficient across training and cloud inference. The goal is to unlock new product capabilities by enabling the training of larger models faster and running inference more efficiently at scale. The team plays a crucial role in the company's mission to make autonomy universal and accelerate the transition to a safer, more intelligent future of mobility.

$370k - $395k