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Today

Sr. Machine Learning Engineer

AppFolio Columbus, OH

Columbus, OH

Today

$167k - $209k/yr Full time Senior Agent Orchestration Agentic Ai

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Job Description

Design and ship low-latency voice and conversational AI agent pipelines within Realm-X.

Responsibilities

Architect and deliver voice and text agent pipelines for real-time, multi-turn customer interactions
Evaluate and implement principled trade-offs across frontier LLMs, smaller models, and routing strategies with a focus on reasoning depth vs latency
Lead a small pod of ML and platform engineers; improve agent evaluation, observability, and incident response
Work with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality
Drive selective SLM fine-tuning and inference optimization to improve voice latency and cost

Requirements

Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks)
Hands-on with Voice-to-Voice models plus traditional TTS / STT pipelines; understands end-to-end voice models vs modular STT + LLM + TTS trade-offs
Strong grasp of LLM behavior for reasoning, tool use, structured output, and reasoning vs latency trade-offs across providers
Production experience with Twilio (or comparable telephony) and AWS
Expert Python, async programming, and WebSockets for real-time, bidirectional streaming
Solid foundation in deep learning, model evaluation, and inference optimization; deploy with Docker on AWS
Proven ability to lead a small team, mentor engineers, and partner credibly with Product and Design
Shipped production AI agents serving real users in voice and/or text channels
Think in pipelines and systems, not only models
Move fast, deliver impact, and maintain sound engineering judgment
Work with humility and collaboration; low-ego leadership and strong team elevation
Values work-life balance as a foundation for sustained high performance

Technologies

LangChain, LangGraph, LangSmith, LangChain Deep Agents
Voice-to-Voice models, TTS, STT
Twilio, AWS
Python, WebSockets
Docker

Nice to Have

Experience fine-tuning Small Language Models for domain-specific voice applications
Familiarity with RAG over structured business data and tool-using agents over API surfaces
Prior experience in regulated or customer-facing industries with strict reliability requirements
Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions

Location

Columbus, OH (onsite)
Late-stage candidates complete an in-person meeting with an AppFoliOian as part of the hiring process

Compensation & Benefits

Base pay range: USD 167,200 - 209,000 per year
Final compensation determined by skills, education, experience, and internal equity
Regular full-time employees are eligible for benefits
The listed compensation range excludes additional benefits and any discretionary bonuses
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4d ago

Sr. Machine Learning Engineer

AppFolio Atlanta, GA

Atlanta, GA

4d ago

$167k - $209k/yr Full time Senior Agentic Ai Artificial Intelligence

Apply Now

Job Description

AppFolio is hiring a Senior Machine Learning Engineer in Atlanta, GA (onsite) to design and ship voice and conversational AI agents within Realm-X. In this role, you will build production agent pipelines and focus on practical delivery: balancing LLM reasoning with low-latency streaming across multi-channel customer experiences.

This position is a strong fit if you enjoy turning agent concepts into reliable systems, partnering with Voice and Product teams on measurable quality, and iterating quickly while maintaining sound engineering judgment.

What you’ll do

Architect and ship voice and text agent pipelines for real-time, multi-turn customer interactions.
Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
Lead a small pod of ML and platform engineers, raising the bar on agent evaluation, observability, and incident response.
Partner with Product and Voice channel teams to define KPIs, build evaluation harnesses, and set acceptance criteria for agent quality.
Drive selective SLM fine-tuning and inference optimization to improve voice latency and cost.

What you’ll bring

Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
Hands-on experience with Voice-to-Voice models and traditional TTS / STT pipelines, including understanding trade-offs between end-to-end voice models and modular STT LLM TTS architectures.
Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
Production experience with Twilio (or comparable telephony) and AWS.
Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
Solid foundation in deep learning, model evaluation, and inference optimization; ability to deploy with Docker on AWS.
Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Experience shipping production AI agents serving real users in voice and/or text channels.
Systems thinking, fast execution with impact, and strong engineering judgment; ability to collaborate with a low-ego, humble, and inclusive approach.
Values work-life balance as a foundation for sustained high performance.

Nice to have

Experience fine-tuning Small Language Models for domain-specific voice applications.
Familiarity with RAG over structured business data and tool-using agents over API surfaces.
Prior experience in regulated or customer-facing industries with strict reliability requirements.
Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.

Technologies you’ll use

LangChain, LangGraph, LangSmith, LangChain Deep Agents
Voice-to-Voice models, TTS, STT
Twilio, AWS, Python, async programming, WebSockets, Docker
LLM, Small Language Model (SLM), RAG

Compensation & benefits

Base pay: USD 167,200 - 209,000 per year.

The actual compensation will be determined by factors including skills, education, experience, and internal equity. Compensation is part of a broader Total Rewards package and the range listed does not include additional benefits or any discretionary bonuses.

Regular full-time employees are eligible for benefits.

#LI-KB1

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Sr. Machine Learning Engineer

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