Back to jobs

Staff Engineer - Machine Learning

San Mateo, CA, United States

Pay
$211,000–261,000/year · BaseLocation-specific pay — pay source
Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. The annual base salary range for this position is $211,000 - $261,000. This role is also eligible for a target bonus. Compensation is based on a variety of factors, including but not limited to location, experience, job-related skills, and level.
Read the full posting
Work setup
Hybrid stated — work setup source
Additional Information Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. The annual base salary range for this position is $211,000 - $261,000. This role is also eligible for a target bonus.
Read the full posting
Employment
Unconfirmed
Apply at Freshworks Inc Class A

What you’ll work on

Full posting
  • You will collaborate with the Principal AI Architect to bridge the gap between high-level design and scalable implementation.

  • Lead Implementation: Act as the lead engineer for agent runtime orchestration services, focusing on reasoning, planning, and tool invocation

  • You will own the development of high-performance APIs and orchestration runtimes, integrating frameworks like LangChain, LangGraph, and LangSmith.

From the employer’s posting
We are seeking a Machine Learning Staff Engineer to lead the development of core backend services powering our Agentic AI Platform. In this role, you will be the primary technical driver for building reasoning-driven agents, multi-agent orchestration, and outcome-based workflows. You will collaborate with the Principal AI Architect to bridge the gap between high-level design and scalable implementation. You will own the development of high-performance APIs and orchestration runtimes, integrating frameworks like LangChain, LangGraph, and LangSmith. This role is highly hands-on and requires a technical leader who can navigate a fast-paced environment while maintaining high engineering standards. Key Responsibilities
Platform Backend Development Lead Implementation: Act as the lead engineer for agent runtime orchestration services, focusing on reasoning, planning, and tool invocation API & SDK Design: Own the development of robust APIs and SDKs that enable internal and external teams to build and deploy agent workflows

What you’ll bring

All qualifications

Core experience

  • 6+ years of backend engineering experience
  • 1-2+ years of hands-on experience in AI/ML platform development

Preferred experience

  • Experience with AI-driven planning systems or dialog state tracking
  • Experience working in a high-growth SaaS or startup environment
Qualification wording
6+ years of backend engineering experience
1-2+ years of hands-on experience in AI/ML platform development
Experience with AI-driven planning systems or dialog state tracking
Experience working in a high-growth SaaS or startup environment

Tools in this posting

  • Java
  • AWS
  • PostgreSQL
  • Terraform
  • Airflow
  • Python
  • Kafka
  • Kubernetes
Source — Tool mentions in context
- 1-2+ years of hands-on experience in AI/ML platform development - Expert Proficiency: Strong programming skills in Java and Python - Framework Expertise: Hands-on experience with LangChain, LangGraph, or LangSmith
- Distributed Systems: Deep understanding of event-driven architectures, microservices, and Kubernetes - Cloud & Data: Solid experience with AWS, Terraform, and a mix of relational (PostgreSQL) and Vector databases - Orchestration: Practical experience with workflow engines like Temporal or Airflow and messaging systems like Kafka
- Microservices Leadership: Execute the transition to cloud-native, event-driven backend services using microservices or service mesh architectures - Workflow Design: Build and manage task scheduling and long-running operations using tools like Temporal or Airflow - Performance Optimization: Optimize LLM orchestration for performance and cost through caching, batching, and token monitoring
- Cloud & Data: Solid experience with AWS, Terraform, and a mix of relational (PostgreSQL) and Vector databases - Orchestration: Practical experience with workflow engines like Temporal or Airflow and messaging systems like Kafka Preferred Qualifications:
- Framework Expertise: Hands-on experience with LangChain, LangGraph, or LangSmith - Distributed Systems: Deep understanding of event-driven architectures, microservices, and Kubernetes - Cloud & Data: Solid experience with AWS, Terraform, and a mix of relational (PostgreSQL) and Vector databases

Job description

View original posting ↗

Job Description

We are seeking a Machine Learning Staff Engineer to lead the development of core backend services powering our Agentic AI Platform. In this role, you will be the primary technical driver for building reasoning-driven agents, multi-agent orchestration, and outcome-based workflows.

You will collaborate with the Principal AI Architect to bridge the gap between high-level design and scalable implementation. You will own the development of high-performance APIs and orchestration runtimes, integrating frameworks like LangChain, LangGraph, and LangSmith. This role is highly hands-on and requires a technical leader who can navigate a fast-paced environment while maintaining high engineering standards.

Key Responsibilities

Platform Backend Development

  • Lead Implementation: Act as the lead engineer for agent runtime orchestration services, focusing on reasoning, planning, and tool invocation
  • API & SDK Design: Own the development of robust APIs and SDKs that enable internal and external teams to build and deploy agent workflows
  • State & Memory Management: Build and optimize stateful dialog management and memory services for multi-turn, context-aware agents
  • Agent Communication: Implement multi-agent communication (A2A) protocols and shared context systems

System Architecture & Execution

  • Microservices Leadership: Execute the transition to cloud-native, event-driven backend services using microservices or service mesh architectures
  • Workflow Design: Build and manage task scheduling and long-running operations using tools like Temporal or Airflow
  • Performance Optimization: Optimize LLM orchestration for performance and cost through caching, batching, and token monitoring

Integrations & Data Services

  • Data Pipeline Ownership: Implement and maintain RAG pipelines and integrations with vector databases (e.g., Pinecone, Weaviate, FAISS)
  • Telemetry Integration: Ensure all backend services support LangSmith-based evaluation and comprehensive observability

Security & Reliability

  • Tenant Isolation: Implement RBAC, API authentication, and multi-tenant isolation logic
  • Engineering Excellence: Set the standard for automated testing (unit, integration, load) and implement OpenTelemetry for full system visibility
  • Mentorship: Provide technical guidance and code reviews for more junior backend engineers on the team

Qualifications

Required Qualifications:

  • 6+ years of backend engineering experience
  • 1-2+ years of hands-on experience in AI/ML platform development
  • Expert Proficiency: Strong programming skills in Java and Python
  • Framework Expertise: Hands-on experience with LangChain, LangGraph, or LangSmith
  • Distributed Systems: Deep understanding of event-driven architectures, microservices, and Kubernetes
  • Cloud & Data: Solid experience with AWS, Terraform, and a mix of relational (PostgreSQL) and Vector databases
  • Orchestration: Practical experience with workflow engines like Temporal or Airflow and messaging systems like Kafka

Preferred Qualifications:

  • Experience with AI-driven planning systems or dialog state tracking
  • Background in enterprise security (RBAC, SSO, OAuth2)
  • Experience working in a high-growth SaaS or startup environment
  • Active contributions to open-source backend or AI frameworks

Additional Information

Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. 

The annual base salary range for this position is $211,000 - $261,000. This role is also eligible for a target bonus. 

Compensation is based on a variety of factors, including but not limited to location, experience, job-related skills, and level. 

Freshworks offers multiple options for dental, medical, vision, disability, and life insurance. Equity + ESPP, flexible PTO, flexible spending, commuter benefits, and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits. 

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

Company Description

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations.

Fresh vision. Real impact. Come build it with us.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. The annual base salary range for this position is $211,000 - $261,000. This role is also eligible for a target bonus. Compensation is based on a variety of factors, including but not limited to location, experience, job-related skills, and level.
Location & working pattern

San Mateo, CA, United States

Additional Information Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. The annual base salary range for this position is $211,000 - $261,000. This role is also eligible for a target bonus.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jul 8, 2026
Recorded sightings
437
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.