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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

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
#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

Applied AI Engineer I in Chicago, IL (onsite) at Deloitte, holding a Bachelor's degree, with a salary range of USD 84,300 - 155,400 per year, focuses on integrating GenAI and agentic capabilities into full-stack products.

Responsibilities

Outcome driven accountability: own and promote a culture focused on customer and business outcomes, including managing the cost of achieving them. design lean, high-quality solutions that solve complex problems and take responsibility for inference, tokens, and cloud costs.
Technical leadership and advocacy: act as the technical champion for products, ensuring code integrity, feasibility, and alignment with business and customer goals. contribute to requirement analysis, component design, development, testing, integrations, and support.
Engineering craftsmanship: uphold code-design integrity and adherence to architecture and tech stack; ensure quality, data integrity, and ongoing maintenance and operations. stay hands-on, proactive, and continuously learn new languages and frameworks. create technical specifications and deliver scalable, maintainable code that meets quality KPIs. collaborate effectively with diverse teams.
Customer centric engineering: develop lean engineering solutions through rapid, low-cost experimentation to address customer needs. engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and iterative delivery: prioritize action and evidence over extensive planning; navigate complexity with a forward-leaning approach to deliver lean, maintainable solutions.
Cross functional collaboration and integration: work with empowered, cross-functional teams including product management, experience, and delivery. integrate diverse perspectives to balance feasibility, viability, usability, and value. foster a collaborative environment that enhances team synergy and innovation.
Advanced technical proficiency: build expertise in modern software engineering practices and AI driven agentic SSDLC to enable daily product deployments with full automation from discovery to production to operations, including quality checks throughout the SSDLC lifecycle. model these techniques to optimize solutioning and delivery.
Domain expertise: rapidly acquire domain knowledge relevant to the business or product. translate business and user needs, architectures, and UI/UX designs into technical specifications and code. be a flexible, quality-focused team member committed to quality and reducing tech debt.
Effective communication and influence: demonstrate exceptional communication skills to articulate complex technical concepts clearly. influence teammates and product teams with evidence-based trade-offs and coherent narratives that align technical solutions with business objectives.
Engagement and collaborative co-creation: engage with product engineering teams at all levels, including customers as needed. build and maintain constructive relationships that foster co-creation and momentum toward product goals. align diverse perspectives and drive consensus to deliver feasible solutions.

Requirements

Ability to work independently and collaborate 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 has modernized software and product delivery to create a scalable, cost-effective model focused on value and outcomes. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, backed by proven bottom-line results and outcomes that power Deloitte's success.

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Langsmith Data Jobs

Sr. Machine Learning Engineer

Applied AI Engineer I

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