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Agent Engineer Jobs in California (NOW HIRING)

LangChain, Inc

AI Engineer, Enablement

San Francisco, CA · On-site

$120K - $159K/yr

We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source ...

Tolan

Agent Engineering Manager

San Francisco, CA · On-site

$200K - $300K/yr

Experienced engineer. You have 5+ years of software engineering experience, with meaningful time ... Agent-first mindset. You genuinely enjoy the "managing agents" workflow and see it as the future of ...

Sierra

Software Engineer, Insights

San Francisco, CA · On-site

Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. • Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over ...

Infosys Limited Digital

DSPy (structured agent programming) * Enterprise Platforms: AWS Bedrock, Microsoft Foundry, MoveWorks. * Knowledge of deterministic vs probabilistic routing and multi-agent orchestration.

LangChain

Sales Engineer (Bay Area)

San Francisco, CA · On-site

LangChain is on a mission to make intelligent agents ubiquitous, providing the foundation for agent engineering in the real world. The Sales Engineer will work closely with customer engineering teams ...

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How much do agent engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for agent engineer in California is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What does an agent engineer do?

An agent engineer designs, develops, and maintains software agents or systems that automate tasks, monitor environments, or interact with users. They often work with programming languages, automation tools, and may focus on areas like artificial intelligence, cybersecurity, or network management to improve system efficiency and security.

What is the difference between Agent Engineer vs Network Engineer?

AspectAgent EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science or related, certifications like CCNA, CompTIA Network+Bachelor's in Computer Science, Information Technology, or related, certifications like CCNA, CCNP
Work EnvironmentDeveloping, testing, and maintaining agent software, often in software development teamsDesigning, implementing, and managing network infrastructure, often in IT or telecom environments
Employer & Industry UsageTech companies, software firms, cloud service providersTelecom, IT services, large enterprises with complex networks

Agent Engineers focus on developing and maintaining software agents that facilitate automation and communication within systems, while Network Engineers design and manage network infrastructure. Both roles require technical certifications and often work in tech-driven environments, but their core responsibilities differ significantly.

What cities in California are hiring for Agent Engineer jobs? Cities in California with the most Agent Engineer job openings:
Agent Engineer jobs near you
Infographic showing various Agent Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $35,197 per year, or $16.9 per hour.

AI Engineer, Enablement

LangChain, Inc

San Francisco, CA • On-site

$120K - $159K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About Us:
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the Team
The Enablement team works directly with companies building AI agents for production, getting new LangChain customers off to a fast, confident start. We own onboarding and instructor-led education for our customers, and run focused advisory sprints for accounts that need deeper support on architecture and evaluation.
About the Role
You'll set the technical foundation for every new customer - teaching their teams to build effectively on the platform and advising on agent development and evaluation as they go.
You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a 1:1 debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient.
What You'll Do
  • Own onboarding and education for new enterprise customers to get them building effectively on the platform, fast
  • Design and run live, hands-on workshops that build real product fluency, not just familiarity
  • Run focused, time-boxed advisory sprints for customers working through architecture or evaluation challenges
  • Build internal agents and tools that streamline how the Enablement team operates - automating our processes so the team scales without just adding headcount
  • Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond 1:1 time
  • Act as the voice of the new customer inside LangChain, feeding friction points back to Product and Engineering
  • Stay current on agent engineering practice and fold what you learn into what you teach
What You'll Bring
Technical:
  • 3+ years building LLM/agent applications - you've designed real agent architectures and evaluation strategies, not just wired up an API call
  • Strong Python, comfortable writing and debugging code live, in front of a customer

Customer-facing & education:
  • 2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops
  • Genuine enjoyment of teaching - you'd rather leave a customer more capable than impressed
  • Can take a complex technical concept and land it with both an individual developer and a room of enterprise stakeholders

Additional:
  • Comfortable operating independently in ambiguity, managing several customer engagements at once
  • Willing to travel up to 20% for customer engagements
Nice to Have
  • You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
  • Hands-on experience with LangSmith (evals, tracing, observability)
  • Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
  • TypeScript/JavaScript in addition to Python

Compensation:
  • Base Salary $116,000-$195,000

Location: West Coast, United States
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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