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Remote Ai Agent Developer Jobs in California (NOW HIRING)

Diagrid, Inc

Developer Advocate

San Francisco, CA · On-site +1

... AI agent concepts into approachable, delightful experiences. You will report work closely with ... Remote first & flexible work environment * Flexible paid time off * Comprehensive healthcare for ...

Mercor

Voice Narrator - AI Trainer

San Diego, CA · Remote

$50 - $150/hr

CX Agent Voice Cloning (USA) Type: Contract Compensation: $50-$150/hour Location: Remote Commitment ... Your voice may be cloned for the clients CX AI Agent so please only apply if you are okay with ...

LPL Financial

AI IAM Architect

San Diego, CA · Remote

$153K - $255K/yr

The AI IAM Architect partners across AI/platform engineering, IAM, security, and enterprise ... Transition validated patterns to IAM engineering for production rollout. * Define agent identity ...

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Remote Ai Agent Developer information

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What is a remote AI agent developer?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

How much do remote AI agent developers make?

Remote AI agent developers typically earn between $80,000 and $150,000 annually, depending on experience, skills in machine learning and programming, and the complexity of projects. Senior roles or those with specialized expertise can earn higher salaries, especially when working for large organizations or tech companies.

What are some common challenges faced by remote AI agent developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

What are the key skills and qualifications needed to thrive as a remote AI agent developer?

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
What are the most commonly searched types of Ai Agent Developer jobs in California? The most popular types of Ai Agent Developer jobs in California are:
What are popular job titles related to Remote Ai Agent Developer jobs in California? For Remote Ai Agent Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Ai Agent Developer jobs in California look for? The top searched job categories for Remote Ai Agent Developer jobs in California are:
What cities in California are hiring for Remote Ai Agent Developer jobs? Cities in California with the most Remote Ai Agent Developer job openings:
Remote Ai Agent Developer jobs near you
Infographic showing various Remote Ai Agent Developer job openings in California as of August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 100% Remote job distribution.

Forward Deployed Engineer - AI Solutions Engineering

Aircall.io, Inc.

San Francisco, CA • Remote

Full-time

Posted 17 days ago

Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the Team
Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don't need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates.
About the Role
As a Forward-Deployed Engineer, you'll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You'll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You'll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you'll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall's platform and accelerate adoption.
Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership
What you'll do:
  • Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.
  • Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.
  • Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.
  • Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.
  • Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.
  • Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.
  • Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.
  • Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.
  • Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.
  • Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.
  • Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.
  • Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.
  • Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
  • Maintain deep awareness of AI and CX industry trends, ensuring Aircall's positioning remains competitive and insights continuously feed back into product and GTM strategies.
What you'll bring:
  • 2–8 years or more as a Technical Consultant, Solutions Engineer, Forward Deployed Engineer, with integration-focused project management.
  • Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.
  • Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
  • Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
  • Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.
  • Excellent communication and stakeholder management skills, translating between technical and business audiences.
  • A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.
Nice-to-haves:
  • Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
  • Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
  • Exposure to scripting (JavaScript/Python) for light customization and debugging.
What Success Looks Like:
  • Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.
  • Shortened time-to-first-value and increased automation adoption across SMB customers.
  • Reusable frameworks, models, and templates actively used by peers and partners.
  • Strong collaboration with Engineering and Product to enhance platform capabilities.
  • Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.
  • Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions
$90,000 - $136,000 a year
This base range is not including a quarterly bonus (20 percent) and other benefits.
The maximum OTE for this role is 170K, including a 34K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.
Why This Role is Unique
This is a role for builders, connectors, and enablers. You'll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall's internal capability to deploy AI faster and smarter.
If you're motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career.
Base salary range:
$90,000—$136,000 USD

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