Voice Recognition

Voice Recognition Developer Jobs

2 jobs found

2d ago

Sr. Machine Learning Engineer

AppFolio Columbus, OH

Columbus, OH

2d ago

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

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Job Description

Build low-latency voice and conversational AI agent pipelines at AppFolio, supporting real-time, multi-channel customer interactions within Realm-X. This onsite role in Columbus, OH pairs agent systems with streaming infrastructure to help deliver experiences where quality, evaluation, and reliability matter.

What you’ll do

Architect and ship voice and text agent pipelines for real-time, multi-turn customer conversations.
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.
Work closely 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.

What you 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-then-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, including the ability to deploy with Docker on AWS.
Demonstrated 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, move fast with sound engineering judgment, and collaborate with humility and low-ego.
Value 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.

Compensation & benefits

Base pay range: USD 167,200 - 209,000 per year.
The listed compensation range does not include additional benefits or any discretionary bonuses that may apply based on role and/or employment type.
Regular full-time employees are eligible for benefits.
Final compensation is determined by factors including skills, education, experience, and internal equity.

Location: Find out more about AppFolio locations by visiting their site. All late-stage candidates complete an in-person meeting with an AppFolian as part of the hiring process. #LI-KB1

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

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6d ago

Sr. Machine Learning Engineer

AppFolio Atlanta, GA

Atlanta, GA

6d ago

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

Apply Now

Job Description

AppFolio is seeking a Senior Machine Learning Engineer to design and ship voice and conversational AI agents within Realm-X. The role focuses on building production agent pipelines that balance LLM reasoning quality with low-latency, real-time streaming across multi-channel customer experiences.

Responsibilities

Architect and deliver voice and text agent pipelines that support real-time, multi-turn customer interactions.
Make principled trade-offs between reasoning depth and latency when using frontier LLMs, smaller models, and routing strategies.
Lead a small pod of ML and platform engineers, improving agent evaluation, observability, and incident response practices.
Collaborate with Product and Voice channel teams to define KPIs, evaluation harnesses, and acceptance criteria for agent quality.
Drive selective Small Language Model (SLM) fine-tuning and optimize inference to meet voice latency and cost targets.

Requirements

Deep, production experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
Hands-on experience with Voice-to-Voice models as well as traditional TTS / STT pipelines, including understanding trade-offs between end-to-end voice models and modular STT LLM TTS architectures.
Strong understanding of LLM reasoning behavior, tool use, structured output, and reasoning-versus-latency trade-offs across model providers.
Production experience with Twilio (or comparable telephony) and AWS.
Expertise in Python, async programming, and WebSockets for real-time, bidirectional streaming.
Solid foundation in deep learning, model evaluation, and inference optimization, with the ability to deploy using Docker on AWS.
Proven 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-oriented thinking, with a focus on pipelines rather than only model development.
Ability to move quickly, deliver impact, and apply sound engineering judgment.
Collaborative, low-ego leadership and a willingness to elevate others.
Commitment to 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, async programming, WebSockets
Docker
LLM, Small Language Model (SLM), RAG

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.
Experience in regulated or customer-facing environments with strict reliability requirements.
Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.

Benefits

Regular full-time employees are eligible for benefits
#LI-KB1

Compensation & Total Rewards

The compensation that AppFolio reasonably expects to pay for this role is $167,200 - $209,000 base pay on a yearly basis.

The actual compensation for this role will be determined by factors including skills, education, experience, and internal equity. Compensation is one aspect of a comprehensive Total Rewards package, and the range listed does not include additional benefits or any discretionary bonuses based on role and/or employment type.

Regular full-time employees are eligible for benefits; see details on the company site.

Location

Atlanta, GA (onsite). Find out more about locations by visiting the company site.

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