AI Agent Engineer Jobs

Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video. This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.

$175k - $300k

Anthropic

The Computer Use team at Anthropic focuses on enabling Claude to interact with computer interfaces and builds the necessary agent harness and end-user products. This team is integral to the research organization, bridging the gap between product development and model capabilities. As a Product Engineer, you will be responsible for the complete lifecycle of our computer-use and browser-control product surfaces, working across the full stack from user interface to agent runtime and backend services. You will collaborate directly with researchers, ensuring a close connection to the model and user experience. This role demands adaptability, a high tolerance for ambiguity, and the ability to prioritize effectively in a fast-paced environment where priorities frequently shift.

$300k - $320k

Haven Safety AI is building an enterprise learning intelligence layer for safety, helping high-risk organizations learn faster from incidents to prevent future occurrences. The platform integrates with existing EHS systems to enhance how incidents are investigated, assessed, and learned from. It combines incident evidence, company knowledge, historical cases, and an industry knowledge graph, with specialized AI agents analyzing various factors to produce traceable assessments. This role focuses on the AI and LLM engineering layer, connecting the evidence base and knowledge graph to the product experiences used by investigators and safety leaders. It's a build-and-operate role requiring technical expertise and operational responsibility in a safety-critical, multi-tenant enterprise environment.

Salary not listed

Capital One is seeking a Senior Staff AI Engineer to join their Agentic AI Platform team. This role is central to bringing the company's vision for AI to life, working hand-in-hand with partners to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and deliver value to millions of customers. The team's AI models and platforms empower associates across Capital One to enhance products with AI in responsible and scalable ways, driving high-leverage impact. You will help bring the transformative power of emerging AI capabilities to reimagine how Capital One serves its customers and businesses.

$286k - $327k

Salesforce is seeking an early-career, highly driven Value Acceleration Engineer to join their Agentforce for Supply Chain team. In this forward-deployed role, you will work directly with enterprise customers and Customer Success teams to implement AI-powered solutions for supply chain management. Your primary goal will be to compress the customer's time-to-value by designing and building agentic workflows and getting critical business processes live in production within an intensive 90-day window. This role is structured as a rotational "Field Residency," where you will spend the initial 6-12 months mastering production edge cases and customer complexities before transitioning into a core product and engineering pod, bringing valuable frontline insights to shape the future platform.

$117k - $224k

Applied Intuition

Applied Intuition is seeking a Software Engineer to join their Korea office and build multi-agent autonomy development tools for defense customers. This on-site role focuses on creating capabilities that enable the design, training, and validation of coordinated Unmanned Aerial Vehicle (UAV) behavior. The engineer will collaborate with the U.S. product engineering team and directly engage with Korean defense customers to translate their operational needs into product features. The position involves developing core features for autonomy tools, validating these tools with real-world UAV applications, defining the role of simulation in the development cycle, and contributing to system-level design and architecture.

$60k - $300k

As a Senior Lead Software Engineer within the Consumer and Community Banking - Digital Technology team, you will be a key member of an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will leverage your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications, driving significant business impact. This role involves architecting and governing AI-enabled engineering workflows to boost delivery speed, code quality, and operational outcomes, while also influencing leaders and defining enterprise-scale AI-enabled architecture for next-generation customer experiences.

Salary not listed

Databricks

<h1>Staff Software Engineer - Agent Quality</h1> <h4>P-1567</h4> <p>At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.</p> <p>The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.&nbsp;</p> <p>As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.</p> <h2>The impact you will have</h2> <ul> <li>Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.</li> <li>Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.</li> <li>Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.</li> <li>Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.</li> </ul> <h2>What we look for</h2> <ul> <li>6+ years industry experience building software systems</li> <li>Strong Python programming skills, with experience building production or research infrastructure</li> <li>Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity</li> <li>Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications</li> <li>Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms</li> <li>A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams</li> </ul> <h2>Nice to have</h2> <ul> <li>Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure</li> <li>Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$265,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

$200k - $265k

Tenstorrent is seeking a RISC-V AI / HPC & Agentic Software Engineering Lead to work at the hardware-software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role involves integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution and leading the bring-up of a RISC-V-native agentic AI software stack. You will collaborate closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This is a remote position based out of North America.

$100k - $500k

Toast

The AI Agent & Experience team at Toast is responsible for building the internal platform that enables AI to be a scalable force across the company's product development lifecycle. This includes developing infrastructure, governance, and tooling for AI. The team's products range from an LLM Proxy and AI Key Management to autonomous agents that integrate into the software development lifecycle. As a Senior Software Engineer on this team, you will be instrumental in building these critical systems, including the LLM proxy, agentic workflows, and a plugin marketplace designed to bring AI-native development practices to various teams within Toast.

Salary not listed

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. You will focus on building systems that make AI work in enterprise environments, not just demos or prototypes, with a strong emphasis on shipped multi-agent systems in production, owning the evaluation harness, and understanding agent failure scenarios. This position offers broad exposure across industries, enterprise technology stacks, and organizational complexities, with opportunities for vendor fellowship access and a direct pathway to a Forward Deployed Engineer program.

Salary not listed

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Tech, Media & Telecom team builds AI agents for critical moments, such as service disruptions or major product launches, to enhance customer relationships across telecommunications, media, and technology sectors. These agents aim to personalize experiences, optimize plans, drive engagement, and improve customer loyalty.

$180k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Travel, Transportation and Hospitality (TTH) team specifically supports major players in the travel industry, helping them deliver exceptional customer experiences, drive growth, and build innovative products. This is a small, scrappy, and collaborative team where every member is encouraged to think like a product owner and contribute to shaping the future of AI in travel.

$180k - $390k

Together AI

Together AI runs one of the largest GPU fleets globally, and the Infra Agent Systems team is responsible for developing the software that powers and automates this infrastructure. The team builds production AI agents designed to diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, they are building the core platform, which includes knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. This role offers the unique opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation, tackling complex engineering challenges with significant real-world impact.

$250k - $300k

Sierra

Sierra is seeking a Software Engineer to join its Financial Services team, focusing on building customer-facing AI agents for major brands. This role involves designing, delivering, and iterating on production-grade AI agents that are mission-critical and drive revenue. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment, working directly with enterprise clients and startups to solve complex business challenges. Your work will directly influence the evolution of Sierra's core platform, shaping the future of AI agent development. The team partners closely with financial institutions to transform customer experiences, making the industry more accessible, human, and affordable.

$180k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to revolutionize customer service and business growth. We are an in-person company based in San Francisco with a culture guided by trust, customer obsession, craftsmanship, intensity, and a commitment to work-life balance. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Retail Team specifically focuses on reinventing AI-first commerce for renowned brands such as Gap, Wayfair, and Sonos, handling millions of customer interactions annually across various channels. We aim to create seamless experiences that resolve issues, drive revenue, and build lasting customer loyalty.

Salary not listed

Sierra

Sierra is seeking a Software Engineer to join its Public Sector team, focusing on designing and building production-grade AI agents for government institutions. This role involves close collaboration with industry leadership to shape market strategy and product development, as well as working directly with public sector customers to understand their needs and identify opportunities for AI to improve citizen services and government operations. The position offers a unique opportunity to influence the evolution of Sierra's core platform by surfacing unmet needs and prototyping new features, contributing to the future of AI agent development within the public sector.

$180k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Financial Services team works with systemically important banks, neobanks, and insurers, impacting millions of end customers and billions in economic activity. We build modern tools that address critical customer moments, making the financial industry more accessible, human, and affordable.

$180k - $390k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are an in-person company based in San Francisco with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Healthcare team is focused on transforming the patient experience across the healthcare system, making care more accessible, human, and affordable through AI agents that handle sensitive conversations with empathy and compliance.

$180k - $390k

Together AI

The Infra Agent Systems team builds the software systems that power and automate Together AI's large GPU fleet. This role involves developing production AI agents that diagnose hardware failures, investigate incidents, correlate signals, and automate operational workflows. You will also build the platform these agents run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation, solving challenging engineering problems with real production impact. You will be responsible for delivering software and operating it in production.

Salary not listed

Observe.AI is seeking a client-facing AI Agent Engineer to design, integrate, and deploy enterprise-grade Voice and Chat AI agents and AI Copilots. This is a hands-on, delivery-focused role where you will work directly with customers to translate requirements into working solutions by configuring integrations, designing prompts and workflows, and deploying scalable AI agents. You will own the end-to-end lifecycle of AI agent delivery, from initial design and integration through testing, client demos, deployment, and ongoing iteration. This role is ideal for someone who enjoys problem-solving across systems, working with APIs, and delivering real-world AI applications, rather than building foundational AI models.

Salary not listed

The opportunity involves designing and implementing end-to-end, client-specific AI architectures. This role focuses on integrating agents, models, enterprise data, applications, identity, and controls across both cloud and on-premises environments. You will translate business requirements into actionable architecture and implementation decisions, design various AI patterns including agentic workflows, RAG, and human-in-the-loop systems, and define hybrid deployment strategies considering constraints like residency, latency, security, performance, and cost. The role also includes evaluating technology choices, documenting architectural decisions and trade-offs, providing technical assurance during delivery, and collaborating with governance, Responsible AI, cyber, and privacy specialists.

Salary not listed

This position is responsible for the design, development, deployment, and maintenance of full-stack agentic AI applications, ranging from early concepts to production-ready solutions. The role focuses on creating measurable value for end-users through intuitive, efficient, and reliable AI-powered solutions, emphasizing agentic workflows, data integration, and user experience. The work involves analyzing engineering processes to identify and address bottlenecks, collaborating with R&D teams and internal customers to develop innovative components and modules, and managing innovation projects.

$85k - $115k

We are seeking a Lead AI Engineer to provide hands-on engineering leadership for agentic AI products. You will define implementation patterns, ensure technical quality from prototype through production, and lead the technical design and implementation of agents, RAG services, tool integrations, and model orchestration. This role involves establishing coding, testing, evaluation, review, and documentation standards, decomposing architecture into engineering work, guiding estimation and sprint planning, coaching engineers, reviewing code, and resolving complex technical problems. You will also design evaluation suites for quality, safety, reliability, latency, and cost, and work with architects and MLOps to harden solutions for production.

Salary not listed