Langsmith

Langsmith Engineer Jobs

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30d ago

Sr. Machine Learning Engineer

AppFolio Columbus, OH

Columbus, OH

30d ago Closed

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

This position is no longer accepting applications (closed Sep 12, 2026).

Job Description

AppFolio is hiring a Sr. Machine Learning Engineer in Columbus, OH to help design and deliver voice and conversational AI agent pipelines within Realm-X. The role centers on low-latency, multi-channel experiences that combine LLM agent frameworks, real-time voice capabilities, and streaming infrastructure.

What you will do

Architect and ship voice and text agent pipelines for real-time, multi-turn customer conversations.
Make well-reasoned 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 across agent evaluation, observability, and incident response.
Work with Product and Voice channel teams to define KPIs, build evaluation harnesses, and establish agent quality acceptance criteria.
Drive selective Small Language Model (SLM) fine-tuning and inference optimization to improve voice latency and reduce 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 the 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-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 deployment with Docker on AWS.
Proven ability to lead a small team, mentor engineers, and partner effectively with Product and Design.
Experience shipping production AI agents serving real users in voice and/or text channels.
Systems-oriented thinking (pipelines and architecture, not only models) plus fast execution with sound engineering judgment.
Collaborative, low-ego approach that elevates others, with an emphasis on sustainable work-life balance.

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, open-source agent frameworks, or in community competitions.

Location

Columbus, OH (onsite).

Find out more about locations by visiting the company site. All late-stage candidates complete an in-person meeting with an AppFolian as part of the hiring process.

Compensation & benefits

Salary range: USD 167,200 - 209,000 per year (base pay).
The actual compensation will be determined by factors including skills, education, experience, and internal equity.
Regular full-time employees are eligible for benefits.

#LI-KB1

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1mo ago

Applied AI Engineer I

Deloitte Chicago, IL

Chicago, IL

1mo ago Closed

$84k - $155k/yr Full time Agentic Ai AI Artificial Intelligence

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Deloitte's onsite Chicago, IL Applied AI Engineer I role offers a salary range of USD 84,300 to 155,400 per year and focuses on embedding GenAI and agentic capabilities into full-stack products.

Responsibilities

Outcome-Driven Accountability: Develop engineering solutions defined by meaningful customer and business outcomes while managing costs, owning inference, token usage, and cloud expenses; design lean, high-quality implementations.
Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals; participate in requirements analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: Maintain code-design integrity and adherence to architecture and tech stack; ensure quality, data integrity, and ongoing maintenance; be hands-on, self-driven, and continually learn new approaches and frameworks; create technical specifications and deliver scalable, maintainable code meeting quality KPIs.
Customer-Centric Engineering: Build lean solutions through rapid, inexpensive experiments to address customer needs; engage with customers and product teams before, during, and after delivery to ensure timely, right-fit solutions.
Incremental and Iterative Delivery: Favor action and evidence over extensive planning; navigate complexity with a lean-forward approach to deliver maintainable and right-sized solutions.
Cross-Functional Collaboration and Integration: Collaborate with product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value; foster a collaborative environment that enhances innovation.
Advanced Technical Proficiency: Develop expertise in modern software engineering practices, including AI and Agentic SSDLC, enabling daily deployments with full automation from discovery to production and operations, with all quality checks through the SSDLC lifecycle.
Domain Expertise: Quickly acquire domain knowledge relevant to the business or product; translate business and user needs into technical specifications and code; be a flexible, quality-focused team member who supports teammates and reduces tech debt.
Effective Communication and Influence: Communicate complex technical concepts clearly and persuasively; influence teammates and product teams with evidence-based trade-offs and coherent narratives that align with business objectives.
Engagement and Collaborative Co-Creation: Collaborate with product engineering teams at all levels and with customers as needed; build constructive relationships and foster a culture of co-creation to reach product goals.

Requirements

Bachelor's degree and at least 1 year of relevant experience
Ability to work independently and as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL/NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
MLflow
LangFuse
LangSmith
OpenAI
Anthropic
Vertex AI
Azure OpenAI
AWS Bedrock
Azure
AWS
GCP
RAG pipelines
Vector databases
Prompt engineering
Multi-agent orchestration tools

Benefits

Discretionary annual incentive program

The Team

US Deloitte Technology Product Engineering is the internal development unit focused on modernizing software and product delivery, delivering scalable and cost-effective solutions that drive value and outcomes. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, empowering Deloitte to achieve measurable results and sustained success.

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Langsmith Engineer Jobs

Sr. Machine Learning Engineer

Applied AI Engineer I

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