AI Agent Engineer Jobs

Gigi is seeking an AI Agent Engineer to join their engineering team in Toronto. This role focuses on the end-to-end development of AI agents and workflows for Gigi, an AI media manager for Amazon DSP. While fundamentally a software engineering role involving API design, data modeling, service integration, testing, and debugging, the core focus will be on how Large Language Models (LLMs) reason, utilize tools, maintain context, and take actions for customers, and the software that ensures these actions are reliable. The ideal candidate is a strong software engineer who has begun building with LLMs and agents and is eager to expand their expertise, rather than an AI researcher or someone with extensive LLM experience. As an early employee, you will significantly influence the product, engineering culture, and company direction.

$110k - $200k

As a Senior Lead Software Engineer on the AI/ML Data Platforms team, you will be a key member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products. You will drive meaningful business impact through hands-on engineering leadership, applying deep technical expertise to address complex challenges. This role involves designing and delivering agentic AI platforms and LLM-enabled services for enterprise use cases, contributing to architecture and engineering decisions, building cloud-native services on AWS, and improving system quality through strong evaluation, observability, and operational excellence practices. You will also raise engineering standards through high-quality code reviews, clear documentation, and effective collaboration.

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Brex

Brex is seeking an AI Engineer to join their Finance Agents team and build the Agent Workbench. This role involves creating a conversational surface where finance professionals can interact with AI agents through various documents and tools to understand financial activity, investigate findings, and steer agent actions. The initial focus will be on evolving the workbench into an extensible platform supporting multiple agent experiences, owning the extension model, integration protocols, and application architecture. You will collaborate with cross-functional teams to build across application layers, establish an agentic design system, and iterate with customers on features like policy editing, reporting, and data exploration.

$216k - $240k

Artefact, a global consulting firm specializing in data, analytics, and AI, is seeking a Director, AI & Agentic Engineering to lead a team in designing and delivering production-grade AI solutions. This role involves driving the architecture and implementation of everything from classical machine learning models to advanced LLM-powered applications and their supporting pipelines. You will provide senior technical judgment, collaborate closely with clients and business stakeholders, and play a key role in pre-sales activities, including shaping proposals and solution designs. The position requires embedding context engineering, agent harnesses, and fine-tuning practices into all solutions, while reporting on strategy and priorities to senior AI/technology leadership.

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Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

DataRobot

This internship focuses on enhancing the usefulness of AI agents in real-world applications by providing them with the right tools, context, and persistent memory across conversations and sessions. The core of the work involves the Model Context Protocol (MCP) and agent memory, exploring how agents discover and safely utilize tools, manage learned information, and remain helpful without constant supervision. The ultimate goal is to deliver practical value to daily agent users through clean, extensible implementations.

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III within the Auto Technology division, you will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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Elastic

Elastic is seeking a Principal, Agentic Engineering Platform to lead the development and refinement of agentic systems that automate complex, multi-step delivery workflows for their global services organization. This role involves setting technical standards, guiding product strategy, and managing the entire lifecycle of building, testing, deploying, monitoring, and iterating on these systems. A key initial focus will be on DIMA, Elastic's migration automation platform for SIEM and observability projects. Experience in security, SIEM, or observability will be highly valuable.

$160k - $304k

Elastic

Elastic is seeking an innovative Agentic AI Engineer to join their IT team. This role will focus on building multi-agent ecosystems that go beyond simple chat to collaborate, delegate tasks, and execute complex business processes across the organization. You will work with large language models (LLMs), agent orchestration, and agent-to-agent (A2A) integration frameworks to power an intelligent workforce. The goal is to create workflows for multiple agents, enabling them to communicate, share information, access enterprise tools, and automate tasks, ultimately empowering internal teams with cutting-edge LLM capabilities and integrating seamlessly with enterprise systems.

$94k - $179k

Elastic

Elastic is seeking a Senior Software Engineer to join their Integrations Team. This role is crucial for building how Elastic integrates with the AI ecosystem, making it easy for developers to find, connect to, and use Elastic within AI assistants and agentic tools. The team owns developer-facing surfaces like language clients, CLI, MCP server, and third-party integrations, ensuring Elastic is accessible wherever developers work. The ideal candidate will thrive in a fast-paced, ambiguous environment, contribute to product direction, and collaborate closely with product teams and external partners.

PLN 308k - PLN 487k

Artefact is seeking a Senior AI & Agentic Engineer to join their team in Montréal. This role focuses on taking AI features from concept to production, involving the design and development of interfaces, services, and agentic systems for client projects. You will be responsible for building conversational applications, automating business workflows with multi-step agents, and managing the associated retrieval and data pipelines. The position requires end-to-end ownership of components, including front-end development, backend services, RAG pipelines, and evaluation processes, with a strong emphasis on production-grade AI systems.

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Harvey is transforming legal and professional services by integrating advanced agentic AI with an enterprise-grade platform. This role is a founding position on the Security Engineering team, focused on building the foundational security for AI agents. You will lead the development of a platform that enables agents to perform security work, including vulnerability discovery and validation through authorized penetration testing, while ensuring data and system protection. The work involves shaping how agents are sandboxed across product and internal platforms, building execution environments, orchestration, and controls, and enabling the secure internal use of open-source models.

$231k - $346k

General Motors is seeking a Staff Individual Contributor to design and build the next generation of customer-facing AI systems. This role involves leading the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement. The successful candidate will establish durable technical patterns across cloud services and customer experiences, contributing production code in Python, Go, and/or Java. This is a senior technical leadership position focused on influencing architecture, mentoring, raising engineering standards, and driving execution through design and implementation.

$189k - $333k

As a Full-stack Software Engineer 4 on the Associate Experience team, you will be a key contributor to designing and building the agentic orchestration layer. This foundational framework will enable AI agents to be composed, sequenced, and operated as a unified associate experience for marketing initiatives. This is a high-impact, individual contributor role where your architectural decisions will significantly shape future marketing team operations.

$179k - $205k

Salesforce is seeking experienced Technical Builders to serve as Forward Deployed Engineers (FDEs). In this role, you will design, build, and deploy agentic AI solutions directly within enterprise customer environments. You will collaborate closely with a Deployment Strategist to co-build solutions that go live in production from day one, working on real code in real environments to achieve measurable business impact. This position involves configuration, customization, and full-stack deployment of critical solutions, leveraging cutting-edge AI tools and platforms. You will be at the forefront of AI innovation, working on capabilities that shape the future of agentic AI and feeding your insights directly back to product teams.

$89k - $288k

Salesforce is seeking experienced Technical Builders to serve as Forward Deployed Engineers (FDEs). In this role, you will design, build, and deploy agentic AI solutions directly within enterprise customer environments. You will collaborate with a Delivery Team, partnering closely with a Deployment Strategist to co-build solutions that go live in production from day one. Engagements will vary from large strategic customers to multiple accounts, all involving real code, real environments, and measurable business impact. This position focuses on configuration, customization, and full-stack deployment, delivering solutions that customers rely on. This specific posting is for roles supporting Global Public Sector teams, including Government, Nonprofit, and Education.

$89k - $288k

Parloa

As a Staff Product Engineer at Parloa, you will work directly within our most strategic enterprise customers to build the software that powers their AI agents in production. You will be responsible for extending Parloa's platform, AMP, by developing custom integrations and capabilities that meet specific customer needs, especially in complex scenarios where off-the-shelf solutions are insufficient. This role involves both long-term engagements, where you'll deepen integrations and grow use cases within an account, and short-term experiments to test new ideas. You will act as the technical lead, owning the architecture and build, and ensuring production quality, security, and adherence to data handling standards. You will also mentor other engineers, contribute to hiring, and set the standard for AI-assisted work validation.

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Retool

Retool is building the platform that makes custom software, especially AI-powered applications, safe to ship. As AI empowers more people to build software, the risk of shipping ungoverned applications grows. Retool provides a platform that connects to business data, enforces enterprise policies, and allows teams to create and reuse components safely. This role focuses on building the agent platform behind Retool's AI products, owning model-driven behavior in production, and ensuring the reliability, affordability, and scalability of agentic products used by engineering teams.

$164k - $306k

Limrun is seeking an engineer to build and scale its platform, which runs development tools and applications as cloud services that AI agents can use. The role involves deciding on product direction, owning projects from design to maintenance, and participating in an on-call rotation to investigate and resolve production incidents. This is an opportunity to work directly with the founder, shape the engineering team's practices, and explore the application of AI in solving infrastructure challenges.

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Datadog

Code Intelligence is at the intersection of agentic engineering and product, running agents against real customer source code in production. This role offers the opportunity to lead an AI-native team in a business-critical growth area, providing high visibility and leverage within the fastest-growing segment of the AI agent space. Datadog operates as a hybrid workplace, valuing office culture for collaboration and creativity while ensuring employees can achieve work-life harmony.

$192k - $240k

Salesforce is seeking a highly accomplished technologist to join their Forward Deployed Engineering Team as an Expert Agent Builder. This role is at the pinnacle of AI technical expertise, focusing on architecting, designing, and building complex agentic systems to solve challenging customer problems. The successful candidate will translate ambiguous customer needs into concrete, executable AI solutions, driving transformative AI solutions by tackling the technical frontier of intelligent automation. This involves building first-of-their-kind, best-in-class experiences for major brands, including headless agent automations, dynamic AI-driven custom user interfaces, and complex multi-agent solutions. The role demands unparalleled software development mastery, deep software architecture skills, and a relentless focus on implementing engineering best practices to deliver maximum tangible value in dynamic, real-world enterprise environments.

$158k - $288k

Capital One is seeking passionate Full Stack Software Engineers to join their Agentic Technology team. You will be instrumental in building and pioneering AI features and products, solving complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to be at the forefront of driving significant transformations within the company by leveraging emerging technologies and data.

$179k - $205k

Salesforce is seeking a Senior AI Engineer to join the Agentforce Operations team, a high-velocity 'startup-within-Salesforce' focused on revolutionizing the public sector supply chain with an AI-powered platform. This role offers the unique opportunity to build a '0 to 1' product in a rapidly growing vertical, working alongside a founding team with deep startup roots but backed by the global scale of Salesforce. You will be instrumental in shaping both the product and the engineering team, partnering with product leaders and sector experts to deliver trusted AI systems for mission-critical public-sector workflows. The role involves building AI features tailored to public-sector customers, designing systems with security, compliance, reliability, and operational constraints at their core, and operating with wide autonomy to raise the bar for technical quality and mentorship.

$149k - $224k

NVIDIA is seeking a Senior Software Engineer to build agentic workflows for their network architecture group. This role involves designing and implementing multi-step agent workflows that operate on a hardware network simulation environment. You will engineer the context that grounds these agents in specifications and source code, and optimize their runtime performance. The goal is to build practical infrastructure that brings intelligent agents to life, supporting architects in their daily work.

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